Export 2050 results:
Submitted
Bullock, D., and J. Zelek, Automatic Target Detection and Model Acquisition for 3D Visual Tracking of Human Body Parts, Submitted.
Liu, L., J. Chen, P. Fieguth, G. Zhao, R. Chellappa, and M. Pietikäinen, BoW meets CNN: Two decades of Texture Representation, Submitted.
Buckstein, D., D. Clausi, D. Meger, D. Ramachandram, E. Granger, F. Mannan, F. Qureshi, F. Shkurti, F. Pomerleau, G. Taylor, et al., Bryan Tripp, University of Waterloo Carlos Vazquez, ETS Cunjian Chen, Michigan State University Daniel Asmar, American University of Beirut, Submitted.
Laschowski, B., W. McNally, A. Wong, and J. McPhee, Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses, Submitted.
Li, F., A. Wong, and D. A. Clausi, COMPARISON OF UNSUPERVISED SEGMENTATION METHODS FOR SURFICIAL MATERIALS MAPPING IN NUNAVUT, CANADA, Submitted.
Boroomand, A., MJ. Sahfiee, L. Wang, E. Kuang, F. Kazemzadeh, and A. Wong, Compensated lens-free light field microscopy, Submitted.
Hessler, C., M. Abouelenien, J. Ren Hou Lee, A. Wong, M. Robert, P. Dallaire, and P. Giguère, CRV 2020, Submitted.
Azzi, C., and J. S. Zelek, Egocentric Place Recognition for AR Wayfinding Assistive Technology, Submitted.
Li, E., M. Javad Shafiee, A. Chung, F. Khalvati, A. Wong, and M. A. Haider, Enhanced reconstruction of compressive sensing MRI via cross-domain stochastically fully-connected random field model, Submitted.
Ersi, E. Fazl, J. Zelek, and H. R. Abrishami, Face Detection Based on Information Theoretic Tools, Submitted.
Shafiee, MJ., B. Chywl, F. Li, and A. Wong, "Fast YOLO: A fast you only look once system for real-time embedded object detection in video. arXiv 2017", arXiv preprint arXiv:1709.05943, Submitted.
Haider, S., A. Cameron, P. Siva, D. Lui, M. J. Shafiee, A. Boroomand, N. Haider, and A. Wong, "Fluorescence microscopy image noise reduction using a stochastically-connected random field model", Nature Scientific Reports, Submitted.
Chan, G., K. Kim, M. Sun, D. Shen, D. Iaboni, and J. S. Zelek, Forget-Me-Not: Loss-Prevention for Seniors, Submitted.
Boos, M., B. Chan, J. Elizabeth Ling, F. Kuyvenhoven, D. Sherrard, A. Lee, W. Chen, and J. S. Zelek, Golf Assist: Alleviating Joint Pain in Elderly Golfers, Submitted.
Levi, D., S. Ullman, J-F. Bernier, R. Bergevin, P-E. Forssén, A. Moe, E. Fazl Ersi, J. S. Zelek, J. Snoek, J. Hoey, et al., Learning and Recognition, Submitted.
Mohamed, SR, A., A. L. White, J. Zafereo, A. J. Wong, J. E. Berends, S. AboHashem, B. Williams, J. M. Aymard, A. Kanwar, S. Perni, et al., Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges, Submitted.
Allison, M., S. Mohindroo, K. Po, S. Shah, E. Elmajian, W. Chen, and J. S. Zelek, Motorized Step Rollator for Elderly Home Safety, Submitted.
Carrington, A., P. Fieguth, and H. Chen, A new Mercer sigmoid kernel, Submitted.
Kerr, M., K. Marie Poyntz, C. Pellett, D. Hans, G. Roche, P. Newman, H. Xin, and J. S. Zelek, Pocket Library for the Visually Impaired, Submitted.
Masnavi, E., W. Giang, and J. S. Zelek, Quantitative Analysis of C2 Tactors, Submitted.
Zhang, Y., A. Eilaghi, A. Wong, A. Oikonomou, MA. Haider, and F. Khalvati, Radiomics Feature Clusters and Prognostic Signatures Specific for Lung Cancer, Submitted.
Eilaghi, A., S. Baig, J. Zhang, A. Wong, P. Karanicolas, S. Gallinger, F. Khalvati, and MA. Haider, Radiomics Features Analysis for Tumor Characterization in Pancreatic Ductal Adenocarcinoma, Submitted.
Hu, C., S. On Annie Leung, Y. Thomas, K. Mirsaeidi, A. Lau, S. Widjaja, W. Chen, and J. S. Zelek, An RFID Based Solution to Dementia and Wandering, Submitted.
Ersi, E. Fazl, and J. Zelek, ROBUST HUMAN SKIN DETECTION IN COMPLEX ENVIRONMENTS, Submitted.
D’Souza, A., J. Kao, T. Szeto, C. Waddington, G. Schumacher, R. Lam, H. Xin, and J. S. Zelek, A ROUTE-PLANNING SYSTEM FOR ELDERLY DRIVERS, Submitted.
Chan, J., M. Hopson, S. So, R. Szeto, C. Tso, D. Iaboni, and J. S. Zelek, An Ultrasound and Tactile Skirt Enabled Wheelchair, Submitted.
Wong, A., A Visual-Inertial Hybrid Controller Approach to Improving Immersion in 3D Video Games, vol. 2, no. 2, Submitted.
Allison, R., J. August, J. Barron, S. Beauchemin, R. Bergevin, S. Bouix, Y. Boykov, C. Farida, J. Clark, D. Clausi, et al., xii, Submitted.
In Press
Asadi, N., A. Mirzaei, and E. Haghshenas, "Creating discriminative models for time series classification and clustering by HMM ensembles", IEEE Transactions on Cybernetics, In Press. Package icon paper_codes.zip (172.97 KB)
2020
Naiel, M. A., D. Sera Ertay, M. Vlasea, and P. Fieguth, "Adaptive vision-based detection of laser-material interaction for directed energy deposition", Additive Manufacturing, vol. 36: Elsevier, pp. 101468, 2020.
Al-Jebrni, A. H., B. Chwyl, X. Yu Wang, A. Wong, and B. J. Saab, "AI-enabled remote and objective quantification of stress at scale", Biomedical Signal Processing and Control, vol. 59: Elsevier, pp. 101929, 2020.
Wong, A., M. Famouri, and M. Javad Shafiee, "AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers", arXiv preprint arXiv:2009.14385, 2020.
Michalopoulos, G., H. Qazi, A. Wong, Z. Butt, and H. Chen, "Automatic extraction of risk factors for dialysis patients from clinical notes using natural language processing techniques", Stud Health Technol Inform, vol. 270, pp. 53–57, 2020.
Pellegrino, N., S. R. Abbasi, K. Bell, D. Dinakaran, G. Bigras, J. R. Mackey, P. Fieguth, and P. Haji Reza, "Chromophore selective multi-wavelength photoacoustic remote sensing (Conference Presentation)", Photons Plus Ultrasound: Imaging and Sensing 2020, vol. 11240: International Society for Optics and Photonics, pp. 112400H, 2020.
Fewster, K. M., S. Haider, C. E. Gooyers, J. Callaghan, and A. Wong, "A computerised system for measurement of the radial displacement of the intervertebral disc using a laser scanning device", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 8, no. 3: Taylor & Francis, pp. 287–293, 2020.
Wang, L., Z. Qiu Lin, and A. Wong, "Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images", Scientific Reports, vol. 10, no. 1: Nature Publishing Group, pp. 1–12, 2020.
Gunraj, H., L. Wang, and A. Wong, "Covidnet-ct: A tailored deep convolutional neural network design for detection of covid-19 cases from chest ct images", Frontiers in Medicine, vol. 7: Frontiers Media SA, 2020.
Liu, L., W. Ouyang, X. Wang, P. Fieguth, J. Chen, X. Liu, and M. Pietikäinen, "Deep learning for generic object detection: A survey", International journal of computer vision, vol. 128, no. 2: Springer US, pp. 261–318, 2020.
Shafiee, M. Javad, A. Jeddi, A. Nazemi, P. Fieguth, and A. Wong, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement", IEEE Signal Processing Magazine, vol. 38, no. 1: IEEE, pp. 22–30, 2020.
Shafiee, M. Javad, A. Jeddi, A. Nazemi, P. Fieguth, and A. Wong, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems", arXiv preprint arXiv:2003.08756, 2020.
Shafiee, M. Javad, A. Jeddi, A. Nazemi, P. Fieguth, and A. Wong, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems", arXiv, pp. arXiv–2003, 2020.
Wang, L., M. Famouri, and A. Wong, "DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation", arXiv preprint arXiv:2004.08008, 2020.
Sengupta, S., A. Wong, A. Singh, J. Zelek, and V. Lakshminarayanan, "DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images", International Workshop on Ophthalmic Medical Image Analysis: Springer, Cham, pp. 32–41, 2020.
Liu, X., X. Yang, D. Wang, and A. Wong, "Detecting Pulse Rates From Facial Videos Recorded in Unstable Lighting Conditions: An Adaptive Spatiotemporal Homomorphic Filtering Algorithm", IEEE Transactions on Instrumentation and Measurement, vol. 70: IEEE, pp. 1–15, 2020.
Liu, X., X. Yang, J. Jin, and A. Wong, "Detecting pulse wave from unstable facial videos recorded from consumer-level cameras: a disturbance-adaptive orthogonal matching pursuit", IEEE Transactions on Biomedical Engineering: IEEE, 2020.
Wong, A., Y. Li, M. Lamm, and H. Sekkati, Device, system and method for content-adaptive resolution-enhancement, 2020.
Xiaodan, HU., M. A. Naiel, Z. Azimifar, I. Ben Daya, M. Lamm, and P. Fieguth, Device, system and method for enhancing one or more of high contrast regions and text regions in projected images, 2020.
Magel, T., C. Fraser, S. Borgia, D. Smyth, C. Cooper, D. Webster, L. Barrett, K. Stewart, A. Wong, M-L. Vachon, et al., "Efficacy of sofosbuvir/velpatasvir (s/v): impact of treatment adherence", Journal of Hepatology, vol. 73: Elsevier, pp. S362–S363, 2020.
Khodadad, I., A. Wong, and F. Kazemzadeh, Electromagnetic wave emittance-based specimen analysis, 2020.
Saeed, S., E. Strumpf, E. E. M. Moodie, L. Wong, J. Cox, S. Walmsley, M. Tyndall, C. Cooper, B. Conway, M. Hull, et al., "Eliminating structural barriers: the impact of unrestricted access on hepatitis C treatment uptake among people living with human immunodeficiency virus", Clinical Infectious Diseases, vol. 71, no. 2: Oxford University Press US, pp. 363–371, 2020.
Lee, J. Ren Hou, L. Wang, and A. Wong, "EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition", arXiv preprint arXiv:2006.15759, 2020.
Asadi, N., A. K Scott, A. S. Komarov, M. Buehner, and D. A. Clausi, "Evaluation of a Neural Network With Uncertainty for Detection of Ice and Water in SAR Imagery", IEEE Transactions on Geoscience and Remote Sensing: IEEE, 2020.
Vats, K., M. Fani, P. Walters, D. A. Clausi, and J. Zelek, "Event Detection in Coarsely Annotated Sports Videos via Parallel Multi-Receptive Field 1D Convolutions", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 882–883, 2020.
Laschowski, B., W. McNally, A. Wong, and J. McPhee, "ExoNet Database: Wearable Camera Images of Human Locomotion Environments", bioRxiv: Cold Spring Harbor Laboratory, 2020.
Fewster, K. M., M. Noguchi, C. E. Gooyers, A. Wong, and J. P. Callaghan, "Exploring the regional disc bulge response of the cervical porcine intervertebral disc under varying loads and posture", Journal of Biomechanics: Elsevier, pp. 109713, 2020.
Gong, Z., H. Lin, D. Zhang, Z. Luo, J. Zelek, Y. Chen, A. Nurunnabi, C. Wang, and J. Li, "A Frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera data", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 159: Elsevier, pp. 90–100, 2020.
Sengupta, S., A. Athwale, T. Gulati, J. Zelek, and V. Lakshminarayanan, "FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for Fundus Image Synthesis", Medical Imaging 2020: Image Processing, vol. 11313: International Society for Optics and Photonics, pp. 113132M, 2020.
Yu, B., L. Xu, J-huan. Peng, Z. Hu, and A. Wong, "Global chlorophyll-a concentration estimation from moderate resolution imaging spectroradiometer using convolutional neural networks", Journal of Applied Remote Sensing, vol. 14, no. 3: International Society for Optics and Photonics, pp. 034520, 2020.
Cooper, C. L., D. Read, M-L. Vachon, B. Conway, A. Wong, A. Ramji, S. Borgia, E. Tam, L. Barrett, D. Smyth, et al., "Hepatitis C virus infection characteristics and treatment outcomes in Canadian immigrants", BMC Public Health, vol. 20, no. 1: BioMed Central, pp. 1–7, 2020.
Wong, A., X. Yu Wang, and A. Hryniowski, "How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks", arXiv preprint arXiv:2009.05835, 2020.
Khodadad, I., A. Wong, and F. Kazemzadeh, Imaging biological tissue or other subjects, 2020.
Kazemzadeh, F., A. Sheung Lai Wong, and S. Abbas Haider, Imaging system and method for concurrent multiview multispectral polarimetric light-field high dynamic range imaging, 2020.
Ecclestone, B. R., K. Bell, S. Abbasi, D. Dinakaran, F. K. H. van Landeghem, J. R. Mackey, P. Fieguth, and P. Haji Reza, "Improving maximal safe brain tumor resection with photoacoustic remote sensing microscopy", Scientific Reports, vol. 10, no. 1: Nature Publishing Group, pp. 1–7, 2020.
Soltani-Sarvestani, M. Amin, Z. Azimifar, A. Wong, and A. Akbar Safavi, "An Innovative Eigenvector-Based Method for Traffic Light Scheduling", Journal of Advanced Transportation, vol. 2020: Hindawi, 2020.
Singh, A., A. Rasheed Mohammed, J. Zelek, and V. Lakshminarayanan, "Interpretation of deep learning using attributions: application to ophthalmic diagnosis", Applications of Machine Learning 2020, vol. 11511: International Society for Optics and Photonics, pp. 115110A, 2020.
Dulhanty, C., and A. Wong, "Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification", Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, pp. 244–250, 2020.
Hoekstra, M., M. Jiang, D. A. Clausi, and C. Duguay, "Lake Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS Segmentation with Pixel-Based Random Forest Labeling", Remote Sensing, vol. 12, no. 9: Multidisciplinary Digital Publishing Institute, pp. 1425, 2020.
Jeddi, A., M. Javad Shafiee, M. Karg, C. Scharfenberger, and A. Wong, "Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1241–1250, 2020.
Kronfli, N., J. Young, S. Wang, J. Cox, S. Walmsley, M. Hull, C. Cooper, V. Martel-Laferriere, A. Wong, N. Pick, et al., "Liver fibrosis in HIV-Hepatitis C virus (HCV) co-infection before and after sustained virologic response: what is the best non-invasive marker for monitoring regression?", Clinical Infectious Diseases, 2020.
Viggiani, D., E. M. Mannen, E. Nelson-Wong, A. Wong, G. Ghiselli, K. B. Shelburne, B. S. Davidson, and J. P. Callaghan, "Lumbar Intervertebral Kinematics During an Unstable Sitting Task and Its Association With Standing-Induced Low Back Pain", Journal of Applied Biomechanics, vol. 36, no. 6: Human Kinetics, pp. 423–435, 2020.
Carrington, A. M., P. W. Fieguth, H. Qazi, A. Holzinger, H. H. Chen, F. Mayr, and D. G. Manuel, "A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms", BMC Medical Informatics and Decision Making, vol. 20, no. 1: BioMed Central, pp. 1–12, 2020.
Yang, L., L. Xu, J. Peng, Y. Song, A. Wong, and D. A. Clausi, "Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising", IEEE Transactions on Geoscience and Remote Sensing: IEEE, 2020.
Pham, H. Thi, M. A. Xiao, M. A. V. Principe, A. Wong, and T. Mesplède, "Pharmaceutical, clinical, and resistance information on doravirine, a novel non-nucleoside reverse transcriptase inhibitor for the treatment of HIV-1 infection", Drugs in Context, vol. 9: BioExcel Publishing Ltd, 2020.
Chen, Y., Y. Wu, L. Xu, and A. Wong, "Quantization in Relative Gradient Angle Domain For Building Polygon Estimation", arXiv preprint arXiv:2007.05617, 2020.
Dulhanty, C., L. Wang, M. Cheng, H. Gunraj, F. Khalvati, M. A. Haider, and A. Wong, "Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing", Sensors, vol. 20, no. 5: Multidisciplinary Digital Publishing Institute, pp. 1539, 2020.
Tsybina, P., M. Hennink, T. Diener, J. Minion, A. Lang, S. Lavoie, J. Kim, and A. Wong, "Repeated false reactive ADVIA centaur® and bio-rad Geenius™ HIV tests in a patient self-administering anabolic steroids", BMC Infectious Diseases, vol. 20, no. 1: BioMed Central, pp. 1–4, 2020.
Abdar, M., F. Pourpanah, S. Hussain, D. Rezazadegan, L. Liu, M. Ghavamzadeh, P. Fieguth, A. Khosravi, R. U Acharya, V. Makarenkov, et al., "A review of uncertainty quantification in deep learning: Techniques, applications and challenges", arXiv preprint arXiv:2011.06225, 2020.
Minhas, M. Singh, and J. Zelek, "Semi-supervised Anomaly Detection using AutoEncoders", arXiv preprint arXiv:2001.03674, 2020.
Lee, P. Q., L. Xu, and D. A. Clausi, "Sentinel-1 additive noise removal from cross-polarization extra-wide TOPSAR with dynamic least-squares", Remote Sensing of Environment, vol. 248: Elsevier, pp. 111982, 2020.
Jeddi, A., M. Javad Shafiee, and A. Wong, "A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning", arXiv preprint arXiv:2012.13628, 2020.
Coker, MO., AG. Hoen, E. Dade, S. Lundgren, Z. Li, AD. Wong, MS. Zens, TJ. Palys, HG. Morrison, ML. Sogin, et al., "Specific class of intrapartum antibiotics relates to maturation of the infant gut microbiota: a prospective cohort study", BJOG: An International Journal of Obstetrics & Gynaecology, vol. 127, no. 2, pp. 217–227, 2020.
Zhong, Z., Z. Qiu Lin, R. Bidart, X. Hu, I. Ben Daya, Z. Li, W-S. Zheng, J. Li, and A. Wong, "Squeeze-and-Attention Networks for Semantic Segmentation", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 13065–13074, 2020.
Amelard, R. Andre, and A. Sheung Lai Wong, System and method for spatial cardiovascular monitoring, 2020.
Haider, S. Abbas, A. Sheung Lai Wong, and F. Kazemzadeh, System, method and apparatus for measuring polarization using spatially-varying polarization beams, 2020.
Raisi, Z., M. A. Naiel, P. Fieguth, S. Wardell, and J. Zelek, "Text Detection and Recognition in the Wild: A Review", arXiv preprint arXiv:2006.04305, 2020.
Lee, J. Ren Hou, and A. Wong, "TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition", 2020 17th Conference on Computer and Robot Vision (CRV): IEEE, pp. 9–16, 2020.
Lee, J. Ren Hou, and A. Wong, "TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition", arXiv, pp. arXiv–2003, 2020.
Wong, A., M. Famouri, M. Pavlova, and S. Surana, "TinySpeech: Attention condensers for deep speech recognition neural networks on edge devices", arXiv preprint arXiv:2008.04245, 2020.
Wong, A., Z. Qiu Lin, L. Wang, A. G. Chung, B. Shen, A. Abbasi, M. Hoshmand-Kochi, and T. Q. Duong, "Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity", arXiv preprint arXiv:2005.12855, 2020.
Ebadi, A., P. Xi, S. Tremblay, B. Spencer, R. Pall, and A. Wong, "Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing", Scientometrics: Springer International Publishing, pp. 1–15, 2020.
Chen, Y., L. Xu, Y. Fang, J. Peng, W. Yang, A. Wong, and D. A. Clausi, "Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field", IEEE Geoscience and Remote Sensing Letters: IEEE, 2020.
Kumar, D., P. Siva, P. Marchwica, and A. Wong, "Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis", The IEEE Winter Conference on Applications of Computer Vision, pp. 2645–2654, 2020.
Aboutalebi, H., M. Javad Shafiee, M. Karg, C. Scharfenberger, and A. Wong, "Vulnerability Under Adversarial Machine Learning: Bias or Variance?", arXiv preprint arXiv:2008.00138, 2020.
Singh, A., S. Sengupta, A. Rasheed Mohammed, I. Faruq, V. Jayakumar, J. Zelek, V. Lakshminarayanan, and others, "What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification?", International Workshop on Ophthalmic Medical Image Analysis: Springer, Cham, pp. 21–31, 2020.
Hryniowski, A., X. Yu Wang, and A. Wong, "Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities", arXiv preprint arXiv:2009.14701, 2020.
Michalopoulos, G., H. Chen, and A. Wong, "Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data", arXiv preprint arXiv:2010.07816, 2020.
Tam, E., J. Tremblay, C. Fraser, B. Conway, A. Ramji, S. Borgia, K. Tsoi, E. M. Yoshida, B. Rajendran, G. Macphail, et al., "The Z-Profile Study: a multicenter, retrospective cohort study to assess the real-world use and effectiveness of elbasvir/grazoprevir in Canadian adult patients with chronic hepatitis C", Canadian Liver Journal: University of Toronto Press, pp. e20190029, 2020.
2019
Xavier, C. Xujie, H. Abedi, J. Boger, P. Morita, A. Wong, and G. Shaker, "2D-Multiple Signal Processing Approach to Human Orientation Monitoring Using Millimeter-wave FMCW Radar", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 2–2, 2019.
Goetz, J., P. Fieguth, K. Kasiri, X. Bodin, M. Marcer, and A. Brenning, "Accounting for permafrost creep in high-resolution snow depth mapping by modelling sub-snow ground deformation", Remote Sensing of Environment, vol. 231: Elsevier, pp. 111275, 2019.
Zhang, F., Y. Chen, Z. Li, Z. Hong, J. Liu, F. Ma, J. Han, and E. Ding, "Acfnet: Attentional class feature network for semantic segmentation", Proceedings of the IEEE International Conference on Computer Vision, pp. 6798–6807, 2019.
Bidart, R., and A. Wong, "Affine Variational Autoencoders", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 461–472, 2019.
Bidart, R., and A. Wong, "Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift", arXiv preprint arXiv:1905.05300, 2019.
Minhas, M. Singh, and J. Zelek, "Anomaly detection in images", arXiv preprint arXiv:1905.13147, 2019.
Minhas, M. Singh, and J. Zelek, "AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces", arXiv preprint arXiv:1911.10608, 2019.
Chung, A. G., P. Fieguth, and A. Wong, "Assessing Architectural Similarity in Populations of Deep Neural Networks", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Wong, A., Z. Qiu Lin, and B. Chwyl, "Attonets: Compact and efficient deep neural networks for the edge via human-machine collaborative design", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Dulhanty, C., and A. Wong, "Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets", arXiv preprint arXiv:1905.01347, 2019.
Wang, CF., L. Xu, D. A. Clausi, and A. Wong, "A bayesian joint decorrelation and despeckling of sar imagery", IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 9: IEEE, pp. 1393–1397, 2019.
Fu, Y., I. Soreefan, A. Sheung Lai Wong, M. Javad Shafiee, B. James Chwyl, and A. Gina Chung, Bed exit monitoring system, 2019.
Kumar, D., I. Ben-Daya, K. Vats, J. Feng, G. Taylor, and A. Wong, "Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning", arXiv preprint arXiv:1904.09633, 2019.
Ben Daya, D. Kumarl Ibr, K. Vats, J. Feng, G. Taylor, and A. Wong, "Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 16–19, 2019.
Sheng, S., E. Pakdamanian, K. Han, BG. Kim, P. Tiwari, I. Kim, and L. Feng, "A case study of trust on autonomous driving", 2019 IEEE Intelligent Transportation Systems Conference (ITSC): IEEE, pp. 4368–4373, 2019.
Rana, U., M. Driedger, P. Sereda, S. Pan, E. Ding, A. Wong, S. Walmsley, M. Klein, D. Kelly, M. Loutfy, et al., "Characteristics and outcomes of antiretroviral-treated HIV-HBV co-infected patients in Canada?", BMC infectious diseases, vol. 19, no. 1: BioMed Central, pp. 982, 2019.
Gren, L., A. Wong, and E. Kristoffersson, "Choosing agile or plan-driven enterprise resource planning (ERP) implementations–A study on 21 implementations from 20 companies", arXiv preprint arXiv:1906.05220, 2019.
He, Y., E. Tio, L. Wang, C. Dulhanty, F. Khalvati, M. A. Haider, and A. Wong, "A Comparative Study Between Apparent Diffusion Imaging and Correlated Diffusion Imaging for Prostate Cancer", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 1–1, 2019.
Ben Daya, I., J. T. W. Yeow, and A. Wong, "Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function Learning", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 429–441, 2019.
Ghanbari, M., D. A. Clausi, L. Xu, and M. Jiang, "Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data", IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10: IEEE, pp. 7476–7491, 2019.
Wong, AO., C. W. Chan, K. D. Costa, and R. A. Li, "Controlled physiomimetic preload augments inotropic sensitivity and contractile phenotypes in human pluripotent stem cell-derived engineered cardiac tissues and chambers.", Journal of Pharmacological and Toxicological Methods, vol. 99, pp. 106595–106595, 2019.
Wong, A. On- Tik, G. Wong, M. Shen, M. Zi- Ying Chow, W. Wai Tse, B. Gurung, S. Yee Mak, D. K. Lieu, K. D. Costa, C. W. Chan, et al., "Correlation between frataxin expression and contractility revealed by in vitro Friedreich’s ataxia cardiac tissue models engineered from human pluripotent stem cells", Stem cell research & therapy, vol. 10, no. 1: BioMed Central, pp. 1–11, 2019.
Sengupta, S., A. Singh, J. Zelek, and V. Lakshminarayanan, "Cross-domain diabetic retinopathy detection using deep learning", Applications of Machine Learning, vol. 11139: International Society for Optics and Photonics, pp. 111390V, 2019.
Poordad, F., M. L. Shiffman, W. Ghesquiere, A. Wong, G. D. Huhn, F. Wong, A. Ramji, S. D. Shafran, F. McPhee, R. Yang, et al., "Daclatasvir and sofosbuvir with ribavirin for 24 weeks in chronic hepatitis C genotype-3-infected patients with cirrhosis: a Phase III study (ALLY-3C)", Antivir Ther, vol. 24, no. 1, pp. 35–44, 2019.
Asadi, N., A. K Scott, and D. A. Clausi, "Data fusion and data assimilation of ice thickness observations using a regularisation framework", Tellus A: Dynamic Meteorology and Oceanography, vol. 71, no. 1: Taylor & Francis, pp. 1564487, 2019.
Hryniowski, A., and A. Wong, "DeepLABNet: End-to-end Learning of Deep Radial Basis Networks", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 1–1, 2019.
Hryniowski, A., and A. Wong, "DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions", arXiv preprint arXiv:1911.09257, 2019.
Bond, R., A. Koene, A. Dix, J. Boger, M. D. Mulvenna, M. Galushka, B. Waterhouse Bradley, F. Browne, H. Wang, and A. Wong, "Democratisation of Usable Machine Learning in Computer Vision", arXiv preprint arXiv:1902.06804, 2019.
Liu, J., K. Andrea Scott, and P. W. Fieguth, "Detection of marginal ice zone in Synthetic Aperture Radar imagery using curvelet-based features: a case study on the Canadian East Coast", Journal of Applied Remote Sensing, vol. 13, no. 1: International Society for Optics and Photonics, pp. 014505, 2019.
Kazemzadeh, F., and A. Wong, Digital Holographic Microscopy: Elsevier, 2019.
Rossi, C., J. Young, V. Martel-Laferriere, S. Walmsley, C. Cooper, A. Wong, J. M Gill, and M. B. Klein, "Direct-Acting Antiviral Treatment Failure Among Hepatitis C and HIV–Coinfected Patients in Clinical Care", Open Forum Infectious Diseases, vol. 6, no. 3: Oxford University Press US, pp. ofz055, 2019.
Shum, A., AO. Wong, C. W. Chan, K. D. Costa, M. Khine, C-W. Kong, and R. A. Li, "Directly visualizing drug-induced arrhythmias with aligned human pluripotent stem cell-based ventricular cardiac anisotropic sheet.", Journal of Pharmacological and Toxicological Methods, vol. 99, pp. 106595–106595, 2019.
Neher, H., J. Arlette, and A. Wong, "Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging via Deep Residual Group Convolutional Radiomic Sequencer", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 307–315, 2019.
Kumar, D., G. W. Taylor, and A. Wong, "Discovery radiomics with CLEAR-DR: interpretable computer aided diagnosis of diabetic retinopathy", IEEE Access, vol. 7: IEEE, pp. 25891–25896, 2019.
Lin, Z. Qiu, M. Javad Shafiee, S. Bochkarev, M. St Jules, X. Yu Wang, and A. Wong, "Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms", arXiv, pp. arXiv–1910, 2019.
Shafiee, M. Saeed, M. Javad Shafiee, and A. Wong, "Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates", 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): IEEE, pp. 667–675, 2019.
Shafiee, M. Saeed, M. Javad Shafiee, and A. Wong, "Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Lin, Z. Qiu, B. Chwyl, and A. Wong, "EdgeSegNet: A Compact Network for Semantic Segmentation", arXiv, pp. arXiv–1905, 2019.
Lin, Z. Qiu, B. Chwyl, and A. Wong, "Edgesegnet: A compact network for semantic segmentation", arXiv preprint arXiv:1905.04222, 2019.
Wong, A., D. Goldstein, J. Mallolas, E. DeJesus, M. Johnson, J-M. Molina, A. Pozniak, A. Rodgers, V. Teal, D. Hepler, et al., "Efficacy and safety of doravirine/lamivudine/tenofovir disoproxil fumarate (DOR/3TC/TDF) in treatment-naive adults with HIV-1 and transmitted nonnucleoside reverse transcriptase inhibitor resistance mutations", Journal of acquired immune deficiency syndromes (1999), vol. 82, no. 4: Wolters Kluwer Health, pp. e47, 2019.
Wong, A., D. Goldstein, J. Mallolas, E. DeJesus, M. Johnson, J-M. Molina, A. Pozniak, A. Rodgers, V. Teal, D. Hepler, et al., "Efficacy and Safety of Doravirine/Lamivudine/Tenofovir Disoproxil Fumarate (DOR/3TC/TDF) in Treatment-Naïve HIV-1 Infected Adults with Transmitted Non-Nucleoside Reverse Transcriptase Inhibitor (NNRTI) Resistance Mutations", JAIDS Journal of Acquired Immune Deficiency Syndromes: LWW, 2019.
Wang, L., and A. Wong, "Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration", arXiv preprint arXiv:1905.07836, 2019.
Kazemzadeh, F., H. Li-Chang, and A. Wong, "Enhanced spectral lightfield fusion microscopy via deep computational optics for whole-slide pathology", Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI, vol. 10883: International Society for Optics and Photonics, pp. 1088312, 2019.
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Bereg, S., B. Malouf, L. Morales, T. Stanley, H. I Sudborough, and A. Wong, "Equivalence Relations for Computing Permutation Polynomials", arXiv preprint arXiv:1911.12823, 2019.
Fang, Y., Z. Hu, L. Xu, A. Wong, and D. A. Clausi, "Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery", 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS): IEEE, pp. 1–5, 2019.
Lin, Z. Qiu, M. Javad Shafiee, S. Bochkarev, M. St Jules, X. Yu Wang, and A. Wong, "Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms", arXiv preprint arXiv:1910.07387, 2019.
Kumar, D., P. Siva, P. Marchwica, and A. Wong, "Fairest of them all: Establishing a strong baseline for cross-domain person reid", arXiv preprint arXiv:1907.12016, 2019.
Kempa-Liehr, A. W., J. Oram, A. Wong, M. Finch, and T. Besier, "Feature engineering workflow for activity recognition from synchronized inertial measurement units", Asian Conference on Pattern Recognition: Springer, Singapore, pp. 223–231, 2019.
Pfisterer, K. J., J. Boger, and A. Wong, "Food for thought: Ethical considerations of user trust in computer vision", arXiv preprint arXiv:1905.12487, 2019.
Post, M., P. Fieguth, M. A. Naiel, Z. Azimifar, and M. Lamm, "FRESCO: Fast Radiometric Egocentric Screen Compensation", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Liu, L., J. Chen, P. Fieguth, G. Zhao, R. Chellappa, and M. Pietikäinen, "From BoW to CNN: Two decades of texture representation for texture classification", International Journal of Computer Vision, vol. 127, no. 1: Springer US, pp. 74–109, 2019.
Hosseinaee, Z., B. Tan, O. Kralj, L. Han, A. Wong, L. Sorbara, and K. Bizheva, "Fully automated corneal nerve segmentation algorithm for corneal nerves analysis from in-vivo UHR-OCT images", Ophthalmic Technologies XXIX, vol. 10858: International Society for Optics and Photonics, pp. 1085823, 2019.
Hosseinaee, Z., L. Han, O. Kralj, A. Wong, L. Sorbara, and K. K. Bizheva, "Fully automated segmentation algorithm for corneal nerves analysis from in-vivo UHR-OCT images", Investigative Ophthalmology & Visual Science, vol. 60, no. 9: The Association for Research in Vision and Ophthalmology, pp. 167–167, 2019.
Pfisterer, K. J., R. Amelard, A. G. Chung, B. Syrnyk, A. MacLean, and A. Wong, "Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes", arXiv preprint arXiv:1910.11250, 2019.
Khera, T., P. Behrendt, D. Bankwitz, R. J. P. Brown, D. Todt, M. Doepke, A. Ghafoor Khan, K. Schulze, J. Law, M. Logan, et al., "Functional and immunogenic characterization of diverse HCV glycoprotein E2 variants", Journal of hepatology, vol. 70, no. 4: Elsevier, pp. 593–602, 2019.
Barritt, N., M. Kuppuswamy Parthasarathy, I. Faruq, J. Zelek, and V. Lakshminarayanan, "Fundus camera versus smartphone camera attachment: image quality analysis", Current Developments in Lens Design and Optical Engineering XX, vol. 11104: International Society for Optics and Photonics, pp. 111040A, 2019.
Zhong, Z., J. Li, D. A. Clausi, and A. Wong, "Generative adversarial networks and conditional random fields for hyperspectral image classification", IEEE transactions on cybernetics: IEEE, 2019.
Sengupta, S., J. Zelek, and V. Lakhsminarayanan, "Generative Modeling for Retinal Fundus Image Synthesis", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 2–2, 2019.
Wong, A., M. Javad Shafiee, B. Chwyl, and F. Li, "GenSynth: a generative synthesis approach to learning generative machines for generate efficient neural networks", Electronics Letters, vol. 55, no. 18: IET, pp. 986–989, 2019.
Wong, A., M. Javad Shafiee, B. Chwyl, and F. Li, "GenSyth: a new way to understand deep learning", Electronics Letters, vol. 55, no. 18: IET, pp. 970–971, 2019.
McNally, W., K. Vats, T. Pinto, C. Dulhanty, J. McPhee, and A. Wong, "Golfdb: A video database for golf swing sequencing", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Amelard, R., and A. Wong, Hemodynamic Imaging: Elsevier, 2019.
Kronfli, N., J. A. Buxton, L. Jennings, F. Kouyoumdjian, and A. Wong, Hepatitis C virus (HCV) care in Canadian correctional facilities: Where are we and where do we need to be?: University of Toronto Press, 2019.
Keung, W., P. K. W. Chan, P. C. Backeris, E. K. Lee, N. Wong, A. O. T. Wong, G. K. Y. Wong, C. W. Y. Chan, B. Fermini, K. D. Costa, et al., "Human Cardiac Ventricular-Like Organoid Chambers and Tissue Strips From Pluripotent Stem Cells as a Two-Tiered Assay for Inotropic Responses", Clinical Pharmacology & Therapeutics, vol. 106, no. 2, pp. 402–414, 2019.
Bond, R. R., M. Mulvenna, D. Finlay, A. Wong, A. Koene, R. Brisk, J. Boger, and T. Adel, "Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making", RoCHI 2019: International Conference on Human-Computer Interaction, 2019.
Li, R. A., W. Keung, T. Cashman, P. Backeris, B. V. Johnson, E. S. Bardot, AO. Wong, P. K. Chan, C. W. Chan, and K. D. Costa, "" Human heart-in-a-Jar": An electro-mechanically functional miniature ventricular heart chamber from human pluripotent stem cells.", Journal of pharmacological and toxicological methods, vol. 99, pp. 106595, 2019.
Shafiee, M. Javad, M. Nentwig, Y. Kassahun, F. Li, S. Bochkarev, A. Kamal, D. Dolson, S. Altintas, A. Virani, and A. Wong, "Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving", arXiv, pp. arXiv–1909, 2019.
Shafiee, M. Javad, M. Nentwig, Y. Kassahun, F. Li, S. Bochkarev, A. Kamal, D. Dolson, S. Altintas, A. Virani, and A. Wong, "Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving", arXiv preprint arXiv:1909.05587, 2019.
Khodadad, I., A. Wong, and F. Kazemzadeh, Imaging biological tissue or other subjects, 2019.
Zhu, Y., A. Mohamed, SR, S. Y. Lai, S. Yang, A. Kanwar, L. Wei, M. Kamal, S. Sengupta, H. Elhalawani, H. Skinner, et al., "Imaging-genomic study of head and neck squamous cell carcinoma: Associations between radiomic phenotypes and genomic mechanisms via integration of The Cancer Genome Atlas and The Cancer Imaging Archive", JCO clinical cancer informatics, vol. 3: American Society of Clinical Oncology, pp. 1–9, 2019.
Wang, L., and A. Wong, "Implications of computer vision driven assistive technologies towards individuals with visual impairment", arXiv preprint arXiv:1905.07844, 2019.
Ko, H. Hin, G. Sebastiani, S. Haylock-Jacobs, E. V. Tam, K. E. Doucette, C. Cooper, D. Miles, G. Y. Minuk, A. Wong, R. J. Bailey, et al., "INCREASED CONTROLLED ATTENUATED PARAMETER (CAP) IS ASSOCIATED WITH METABOLIC SYNDROME AND HIGHER LIVER STIFFNESS MEASUREMENT IN CHRONIC HEPATITIS B PATIENTS WITH HEPATIC STEATOSIS ENROLLED IN THE CANADIAN HBV NETWORK", HEPATOLOGY, vol. 70: WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 582A–583A, 2019.
Abedi, H., C. Magnier, J. Boger, P. Morita, A. Wong, and G. Shaker, "Integration of Random Forests and MM-Wave FMCW Radar Technology for Gait Recognition", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 2–2, 2019.
Deglint, J. L., C. Jin, and A. Wong, "Investigating the automatic classification of algae using the spectral and morphological characteristics via deep residual learning", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 269–280, 2019.
Dulhanty, C., and A. Wong, "Investigating the Impact of Inclusion in Face Recognition Training Data", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 1–1, 2019.
Vats, K., H. Neher, A. Wong, D. A. Clausi, and J. Zelek, "KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 220–231, 2019.
Crasta, K. C., A. Wong, and B. Lim, Lipid metabolism is involved in mitotic slippage-induced SASP upon treatment with anti-mitotic drugs: American Association for Cancer Research, 2019.
Gong, Z., J. Li, Z. Luo, C. Wen, C. Wang, and J. Zelek, "Mapping and Semantic Modeling of Underground Parking Lots Using a Backpack LiDAR System", IEEE Transactions on Intelligent Transportation Systems: IEEE, 2019.
Wong, A. O. - T., D. K. Lieu, G. K. Wong, B. Gurung, W. Wai Tse, K. D. Costa, C. W. Chan, J. D. Nabhan, and R. A. Li, "Modeling cardiac dysfunction of Friedreich's ataxia using ventricular sheets, tissues and chambers engineered from human pluripotent stem cells", Journal of pharmacological and toxicological methods, vol. 99: Elsevier, pp. 106595–106595, 2019.
Chow, M. Zi- Ying, S. N. Sadrian, W. Keung, L. Geng, L. Ren, C-W. Kong, A. On- Tik Wong, J-S. Hulot, C. S. Chen, K. D. Costa, et al., "Modulation of chromatin remodeling proteins SMYD1 and SMARCD1 promotes contractile function of human pluripotent stem cell-derived ventricular cardiomyocyte in 3D-engineered cardiac tissues", Scientific reports, vol. 9, no. 1: Nature Publishing Group, pp. 1–16, 2019.
Haines, L., O. Kralj, S. Marschall, A. Gawish, P. Fieguth, N. Singal, H. Chew, D. Rootman, A. Slomovic, W. Hatch, et al., "Morphological corneal changes up to one year after crosslinking surgery with and without intracorneal ring segment insertion", Investigative Ophthalmology & Visual Science, vol. 60, no. 9: The Association for Research in Vision and Ophthalmology, pp. 6323–6323, 2019.
Deglint, J. L., C. Jin, and A. Wong, "A multispectral Bayesian-based computational microscopy method for enhancing image quality", Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII, vol. 10881: International Society for Optics and Photonics, pp. 1088117, 2019.
Wong, A., "NetScore: Towards universal metrics for large-scale performance analysis of deep neural networks for practical on-device edge usage", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 15–26, 2019.
Sankar, V., P. Fieguth, and M. Lamm, "P-35: Human Visual System Inspired Artifact Reduction in Projector Compensation", SID Symposium Digest of Technical Papers, vol. 50, no. 1, pp. 1366–1369, 2019.
Hu, X., M. A. Naiel, Z. Azimifar, M. Lamm, and P. Fieguth, "P-59: Robust Visual Enhancement of Moving Contents in Projected Imagery", SID Symposium Digest of Technical Papers, vol. 50, no. 1, pp. 1456–1459, 2019.
Leopold, H. A., J. Orchard, J. S. Zelek, and V. Lakshminarayanan, "Pixelbnn: Augmenting the pixelcnn with batch normalization and the presentation of a fast architecture for retinal vessel segmentation", Journal of Imaging, vol. 5, no. 2: Multidisciplinary Digital Publishing Institute, pp. 26, 2019.
Fani, M., K. Vats, C. Dulhanty, D. A. Clausi, and J. Zelek, "Pose-projected action recognition hourglass network (parhn) in soccer", 2019 16th Conference on Computer and Robot Vision (CRV): IEEE Computer Society, pp. 201–208, 2019.
Nazemi, A., and P. Fieguth, "Potential adversarial samples for white-box attacks", arXiv preprint arXiv:1912.06409, 2019.
Beckerman, B., and A. Wong, Pour spout, sep # " 17", 2019.
Laschowski, B., W. McNally, A. Wong, and J. McPhee, "Preliminary design of an environment recognition system for controlling robotic lower-limb prostheses and exoskeletons", 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR): IEEE, pp. 868–873, 2019.
Onofrio, F. de Quadros, C. Cooper, S. Marcelo Borgia, M-L. Claire Vachon, A. Ramji, L. Lilly, A. Wong, J. Booth, I. Sattar, H. Morales, et al., "Prior therapy with sofosbuvir/velpatasvir associated with reduced response to sofosbuvir/velpatasvir/voxilaprevir: results from a Canadian prospective registry", HEPATOLOGY, vol. 70: WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 981A–981A, 2019.
Lin, Z. Qiu, and A. Wong, "Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks", arXiv preprint arXiv:1901.09135, 2019.
Pfisterer, K. J., J. Boger, and A. Wong, "Prototyping the Automated Food Imaging and Nutrient Intake Tracking System: Modified Participatory Iterative Design Sprint", JMIR human factors, vol. 6, no. 2: JMIR Publications Inc., Toronto, Canada, pp. e13017, 2019.
Vats, K., W. McNally, C. Dulhanty, Z. Qiu Lin, D. A. Clausi, and J. Zelek, "PuckNet: Estimating hockey puck location from broadcast video", arXiv preprint arXiv:1912.05107, 2019.
Khalvati, F., Y. Zhang, A. Wong, and M. A. Haider, Radiomics: Elsevier, 2019.
Boroomand, A., B. Tan, M. Javad Shafiee, K. Bizheva, and A. Wong, "A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 283–294, 2019.
Nazemi, A., Z. Azimifar, M. Javad Shafiee, and A. Wong, "Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning", IEEE Transactions on Intelligent Transportation Systems: IEEE, 2019.
Farag, M., S. Fung, E. Tam, K. Doucette, A. Wong, A. Ramji, B. Conway, C. Cooper, K. Tsoi, J. Feld, et al., "Real-world effectiveness and renal safety of tenofovir alafenamide fumarate among chronic hepatitis B patients in Canada", Journal of Hepatology, vol. 70: ELSEVIER SCIENCE BV PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, pp. E463–E464, 2019.
Kabiljagic, D., and A. Wong, "Resolution-enhanced digital epiluminescence microscopy using deep computational optics", Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII, vol. 10881: International Society for Optics and Photonics, pp. 108811P, 2019.
Hu, X., M. A. Naiel, Z. Azimifar, M. Lamm, and P. Fieguth, "Robust Visual Enhancement of Moving Contents in Projected Imagery", Society for Information Display International Symposium (SID), 2019.
Younes, G., D. Asmar, and J. Zelek, "Robustifying Direct VO to Large Baseline Motions", International Joint Conference on Computer Vision, Imaging and Computer Graphics: Springer, Cham, pp. 477–496, 2019.
Hu, X., M. A. Naiel, A. Wong, M. Lamm, and P. Fieguth, "RUNet: A Robust UNet Architecture for Image Super-Resolution", Computer Vision and Pattern Recognition Workshop, 2019.
Hu, X., M. A. Naiel, A. Wong, M. Lamm, and P. Fieguth, "RUNet: A Robust UNet Architecture for Image Super-Resolution", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Ben Daya, I., M. Javad Shafiee, M. Karg, C. Scharfenberger, and A. Wong, "SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles.", CVPR Workshops, pp. 95–98, 2019.
Ben Daya, I., M. Javad Shafiee, M. Karg, C. Scharfenberger, and A. Wong, "SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles.", CVPR Workshops, pp. 103–111, 2019.
Hryniowski, A., and A. Wong, "Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks", arXiv preprint arXiv:1905.10901, 2019.
Pellegrino, N., M. A. Naiel, M. Lamm, and P. Fieguth, "Sensitivity Assessment for Projector Camera Geometry Reconstruction Systems", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 1–1, 2019.
Kumar, D., V. Sankar, D. Clausi, G. W. Taylor, and A. Wong, "SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells", IEEE Access, vol. 7: IEEE, pp. 145444–145454, 2019.
Sankar, V., D. Kumar, D. A. Clausi, G. W. Taylor, and A. Wong, "Sisc: End-to-end interpretable discovery radiomics-driven lung cancer prediction via stacked interpretable sequencing cells", arXiv preprint arXiv:1901.04641, 2019.
Zhang, D., Z. Gong, Y. Chen, J. Zelek, and J. Li, "Slam-Based Multi-Sensor Backpack Lidar Systems in Gnss-Denied Environments", IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium: IEEE, pp. 8984–8987, 2019.
Walters, P. B., D. Clausi, and A. Wong, "Sports Field Localization using Memory Networks", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 2–2, 2019.
McNally, W., A. Wong, and J. McPhee, "STAR-Net: Action recognition using spatio-temporal activation reprojection", 2019 16th Conference on Computer and Robot Vision (CRV): IEEE, pp. 49–56, 2019.
Shafiee, M. Javad, A. Hryniowski, F. Li, Z. Qiu Lin, and A. Wong, "State of Compact Architecture Search For Deep Neural Networks", arXiv preprint arXiv:1910.06466, 2019.
Shafiee, M. Javad, A. Hryniowski, F. Li, Z. Qiu Lin, and A. Wong, "State of Compact Architecture Search For Deep Neural Networks", arXiv, pp. arXiv–1910, 2019.
Lee, J., and A. Wong, "STeW: Real-time Video Facial Emotion Classification via a Compact Sliding Temporal Windowed Deep Neural Network", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 1–1, 2019.
Shafiee, M. Javad, B. Chwyl, F. Li, R. Chen, M. Karg, C. Scharfenberger, and A. Wong, "StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks", Neurocomputing, vol. 352: Elsevier, pp. 93–105, 2019.
Wong, A. Sheung Lai, M. Javad Shafiee, and F. Li, System and method for automatic building of learning machines using learning machines, 2019.
Dulhanty, C., J. L. Deglint, I. Ben Daya, and A. Wong, "Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection", arXiv preprint arXiv:1911.11951, 2019.
Cai, Z., H. Neher, K. Vats, D. A. Clausi, and J. Zelek, "Temporal hockey action recognition via pose and optical flows", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Farag, M. S., S. K. Fung, E. Tam, K. E. Doucette, A. Wong, A. Ramji, B. Conway, C. Cooper, K. Tsoi, C. S. Coffin, et al., "TENOFOVIR ALAFENAMIDE FUMARATE IS EFFECTIVE AND HAS SUPERIOR RENAL SAFETY MAINLY AMONG STAGE 2 CHRONIC KIDNEY DISEASE (CKD): REAL-WORLD STUDY FROM THE CANADIAN HEPATITIS B NETWORK (CANHEPB)", HEPATOLOGY, vol. 70: WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 304A–305A, 2019.
Younger, J., J. Raboud, L. Szadkowski, R. Harrigan, S. Walmsley, A. M. Bayoumi, M. B. Klein, C. Cooper, A. N. Burchell, M. Loutfy, et al., "Tenofovir and emtricitabine resistance among antiretroviral-naive patients in the Canadian Observational Cohort Collaboration: implications for PrEP", Antiviral therapy, vol. 24, no. 3, pp. 211–220, 2019.
Liu, L., J. Chen, G. Zhao, P. Fieguth, X. Chen, and M. Pietikäinen, "Texture classification in extreme scale variations using GANet", IEEE Transactions on Image Processing, vol. 28, no. 8: IEEE, pp. 3910–3922, 2019.
Cooper, C., M-L. Vachon, B. Conway, A. Wong, A. Ramji, S. Borgia, E. Tam, L. Barrett, D. Smyth, H. Morales, et al., "THU-393-HCV infection in Canadian immigrants: Characteristics and treatment outcomes of the CANUHC cohort", Journal of Hepatology, vol. 70, no. 1: Elsevier, pp. e328, 2019.
Pfisterer, K. J., R. Amelard, B. Syrnyk, and A. Wong, "Towards computer vision powered color-nutrient assessment of puréed food", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Bidart, R., and A. Wong, "TriResNet: A Deep Triple-Stream Residual Network for Histopathology Grading", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 369–382, 2019.
Vats, K., H. Neher, D. A. Clausi, and J. Zelek, "Two-stream action recognition in ice hockey using player pose sequences and optical flows", 2019 16th Conference on Computer and Robot Vision (CRV): IEEE, pp. 181–188, 2019.
Younes, G., D. Asmar, and J. Zelek, "A unified formulation for visual odometry", arXiv preprint arXiv:1903.04253, 2019.
Orumi, M. Ali Bagher, H. M Sepanj, M. Famouri, Z. Azimifar, and A. Wong, "Unsupervised Deep Shape from Template", International Conference on Image Analysis and Recognition: Springer, Cham, pp. 440–451, 2019.
Zaidan, S. M., L. Leyre, R. Bunet, E. Larouche-Anctil, I. Turcotte, M. Sylla, A. Chamberland, C. Chartrand-Lefebvre, P. Ancuta, J-P. Routy, et al., "Upregulation of IL-32 Isoforms in Virologically Suppressed HIV-Infected Individuals: Potential Role in Persistent Inflammation and Transcription From Stable HIV-1 Reservoirs", JAIDS Journal of Acquired Immune Deficiency Syndromes, vol. 82, no. 5: LWW, pp. 503–513, 2019.
Nitulescu, R., J. Young, S. Saeed, C. Cooper, J. Cox, V. Martel-Laferriere, M. Hull, S. Walmsley, M. Tyndall, A. Wong, et al., "Variation in hepatitis C virus treatment uptake between Canadian centres in the era of direct-acting antivirals", International Journal of Drug Policy, vol. 65: Elsevier, pp. 41–49, 2019.
Qi, Z., S. Khorram, and F. Li, "Visualizing Deep Networks by Optimizing with Integrated Gradients.", CVPR Workshops, vol. 2, 2019.
Michalopoulos, G., H. H. Chen, Y. Yang, S. Subendran, R. R. Quinn, M. J. Oliver, Z. Butt, and A. Wong, "Why Do I Trust Your Model? Building and Explaining Predictive Models for Peritoneal Dialysis Eligibility", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 1–1, 2019.
Wong, A., M. Famuori, M. Javad Shafiee, F. Li, B. Chwyl, and J. Chung, "YOLO nano: A highly compact you only look once convolutional neural network for object detection", arXiv preprint arXiv:1910.01271, 2019.
Wang, L., C. Dulhanty, A. Chung, F. Khalvati, M. A. Haider, and A. Wong, "Zone-DR: Discovery Radiomics via Zone-level Deep Radiomic Sequencer Discovery for Zone-based Prostate Cancer Grading using Diffusion Weighted Imaging", Journal of Computational Vision and Imaging Systems, vol. 5, no. 1, pp. 1–1, 2019.
2018
Ma, A., A. Gawish, M. Lamm, A. Wong, and P. Fieguth, "63-3: Real-time Spatial-based Projector Resolution Enhancement", SID Symposium Digest of Technical Papers, vol. 49, no. 1, pp. 831–834, 2018.
Saeed, S., E. Strumpf, S. Walmsley, C. Cooper, B. Conway, V. Laferriere, N. Pick, A. Wong, and MB. Klein, "A163 DIRECT ACTING ANTIVIRAL UPTAKE DISPARITIES IN HIV-HEPATITIS C CO-INFECTED POPULATIONS IN CANADA", Journal of the Canadian Association of Gastroenterology, vol. 1, no. suppl_1: Oxford University Press US, pp. 282–283, 2018.
McNally, W., A. Wong, and J. McPhee, "Action recognition using deep convolutional neural networks and compressed spatio-temporal pose encodings", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Roy, P., P. Gholami, M. Kuppuswamy Parthasarathy, J. Zelek, and V. Lakshminarayanan, "Automated intraretinal layer segmentation of optical coherence tomography images using graph-theoretical methods", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII, vol. 10483: International Society for Optics and Photonics, pp. 104832U, 2018.
Roy, P., M. Kuppuswamy Parthasarathy, J. S. Zelek, and V. Lakshminarayanan, "Automated Retinal Layer Segmentation Algorithm for OCT Images: A Validation Study", Investigative Ophthalmology & Visual Science, vol. 59, no. 9: The Association for Research in Vision and Ophthalmology, pp. 1678–1678, 2018.
Boroomand, A., G. Shaker, P. P. Morita, A. Wong, and J. Boger, "Autonomous gait speed estimation using 24GHz FMCW radar technology", 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI): IEEE, pp. 66–69, 2018.
LEUNG, ALEXANDER. K. C., K. L. Hon, A. H. C. Wong, and ANDREW. S. WONG, "Bacterial conjunctivitis in childhood: etiology, clinical manifestations, diagnosis, and management", Recent patents on inflammation & allergy drug discovery, vol. 12, no. 2: Bentham Science Publishers, pp. 120–127, 2018.
Li, R. A., W. Keung, T. J. Cashman, P. C. Backeris, B. V. Johnson, E. S. Bardot, A. O. T. Wong, P. K. W. Chan, C. W. Y. Chan, and K. D. Costa, "Bioengineering an electro-mechanically functional miniature ventricular heart chamber from human pluripotent stem cells", Biomaterials, vol. 163: Elsevier, pp. 116–127, 2018.
Hartman, M., D. Lasry, A. U. Khan, H. Wu, S. Kassam, A. Wong, O. Litwin, H. Khan, J. Siddall, I. Sharma, et al., Canadian Federation of Medical Students Position Statement on Recreational Cannabis Legalization, 2018.
Gholami, P., M. Sheikh Hassani, M. Kuppuswamy Parthasarathy, J. S. Zelek, and V. Lakshminarayanan, "Classification of optical coherence tomography images for diagnosing different ocular diseases", Multimodal Biomedical Imaging XIII, vol. 10487: International Society for Optics and Photonics, pp. 1048705, 2018.
Wang, X., P-H. Ho, A. Wong, and L. Peng, "Cognitive-Empowered Femtocells: An intelligent paradigm for femtocell networks", Wireless Communications and Mobile Computing, vol. 2018: Hindawi, 2018.
Roy, P., M. Kuppuswamy Parthasarathy, J. Zelek, and V. Lakshminarayanan, "Comparison of Gaussian filter versus wavelet-based denoising on graph-based segmentation of retinal OCT images", Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 10578: International Society for Optics and Photonics, pp. 105782N, 2018.
Haider, S. A., M. Y. Tran, and A. Wong, "Computational circular dichroism estimation for point-of-care diagnostics via vortex half-wave retarders", Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, vol. 10501: International Society for Optics and Photonics, pp. 1050108, 2018.
Cardenas, C. E., R. E. McCarroll, L. E. Court, B. A. Elgohari, H. Elhalawani, C. D. Fuller, M. J. Kamal, M. A. M. Meheissen, A. Mohamed, SR, A. Rao, et al., "Deep learning algorithm for auto-delineation of high-risk oropharyngeal clinical target volumes with built-in dice similarity coefficient parameter optimization function", International Journal of Radiation Oncology* Biology* Physics, vol. 101, no. 2: Elsevier, pp. 468–478, 2018.
Lunscher, N., and J. Zelek, "Deep learning whole body point cloud scans from a single depth map", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1095–1102, 2018.
Shafiee, M. Javad, A. Mishra, and A. Wong, "Deep learning with Darwin: Evolutionary synthesis of deep neural networks", Neural Processing Letters, vol. 48, no. 1: Springer US, pp. 603–613, 2018.
Ma, A., A. Wong, and D. A. Clausi, "Deep Learning-Driven Depth from Defocus via Active Multispectral Quasi-Random Projections with Complex Subpatterns", 2018 15th Conference on Computer and Robot Vision (CRV): IEEE, pp. 292–296, 2018.
Khodadad, I., J. Shafiee, A. Wong, F. Kazemzadeh, and J. Arlette, "Deep tissue sequencing using hypodermoscopy and augmented intelligence to analyze atypical pigmented lesions", Journal of cutaneous medicine and surgery, vol. 22, no. 6: SAGE Publications Sage CA: Los Angeles, CA, pp. 583–590, 2018.
Pfisterer, K. J., R. Amelard, and A. Wong, "Differential color space analysis for investigating nutrient content in a pureed food dilution-flavor matrix: a step toward objective malnutrition risk assessment", Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, vol. 10501: International Society for Optics and Photonics, pp. 105010J, 2018.
Lang, R., J. Minion, S. Skinner, and A. Wong, "Disseminated Exophiala dermatitidis causing septic arthritis and osteomyelitis", BMC infectious diseases, vol. 18, no. 1: BioMed Central, pp. 1–5, 2018.
Lin, Z. Qiu, A. G. Chung, and A. Wong, "Edgespeechnets: Highly efficient deep neural networks for speech recognition on the edge", arXiv preprint arXiv:1810.08559, 2018.
Haines, L., O. Kralj, S. Marschall, A. Gawish, P. Fieguth, N. Singal, H. Chew, D. Rootman, A. Slomovic, W. Hatch, et al., "Effect of age and pre-operative corneal topography on epithelial thickness changes after corneal crosslinking and intrastromal corneal ring segment implantation.", Investigative Ophthalmology & Visual Science, vol. 59, no. 9: The Association for Research in Vision and Ophthalmology, pp. 1338–1338, 2018.
Shafiee, M. Saeed, M. Javad Shafiee, and A. Wong, Efficient inference on deep neural networks by dynamic representations and decision gates, 2018.
Kasiri, K., M. Javad Shafiee, A. Wong, and J. Eichel, Efficient Network Structure via Ensemble Deep Evolutionary Synthesis, 2018.
Wong, A. Xing Fah, Elucidating the role of metabolic changes in modulating cell fate following treatment with anti-mitotic drugs, 2018.
Beltrame, T., R. Amelard, A. Wong, and R. L. Hughson, "Emerging Wearable Physiological Monitoring Technologies & Decision Aids for Health & Performance: Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models", Journal of Applied Physiology, vol. 124, no. 2: American Physiological Society, pp. 473, 2018.
Tan, B., A. Wong, and K. Bizheva, "Enhancement of morphological and vascular features in OCT images using a modified Bayesian residual transform", Biomedical optics express, vol. 9, no. 5: Optical Society of America, pp. 2394–2406, 2018.
Brumme, Z. L., N. N. Kinloch, S. Sanche, A. Wong, E. Martin, K. D. Cobarrubias, P. Sandstrom, P. N. Levett, R. P Harrigan, and J. B. Joy, "Extensive host immune adaptation in a concentrated North American HIV epidemic", AIDS (London, England), vol. 32, no. 14: Wolters Kluwer Health, pp. 1927, 2018.
Beltrame, T., R. Amelard, A. Wong, and R. L. Hughson, "Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models", Journal of Applied Physiology, vol. 124, no. 2: American Physiological Society Bethesda, MD, pp. 473–481, 2018.
Post, M., P. Fieguth, M. A. Naiel, Z. Azimifar, and M. Lamm, "Fast radiometric compensation for nonlinear projectors", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Younes, G., D. Asmar, and J. Zelek, "FDMO: feature assisted direct monocular odometry", arXiv preprint arXiv:1804.05422, 2018.
Deglint, J. L., C. Jin, A. Chao, and A. Wong, "The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features", arXiv preprint arXiv:1805.01093, 2018.
Deglint, J. L., C. Jin, A. Chao, and A. Wong, "The feasibility of automated identification of six algae types using feed-forward neural networks and fluorescence-based spectral-morphological features", IEEE Access, vol. 7: IEEE, pp. 7041–7053, 2018.
Boroomand, A., K. J. Pfisterer, A. Wong, and others, "FEELS: a full-spectrum enhanced emotion learning system for assisting individuals with autism spectrum disorder", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Wong, A., M. Javad Shafiee, B. Chwyl, and F. Li, "Ferminets: Learning generative machines to generate efficient neural networks via generative synthesis", arXiv preprint arXiv:1809.05989, 2018.
Khan, S., A. Wong, and B. Tripp, "Guarding Against Adversarial Attacks using Biologically Inspired Contour Integration", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Ramji, A., C. Coffin, HH. Ko, A. Wong, AA. Shaheen, and C. Cooper, "Hepatitis B virus therapy with nucleos (t) ide analogues significantly reduces fibrosis in a'Real-world'Canadian cohort", JOURNAL OF VIRAL HEPATITIS, vol. 25: WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 48–48, 2018.
Saeed, S., L. Wong, C. Cooper, A. Wong, L. Barrett, J. Cohen, B. Conway, P. Cote, J. Cox, MJ. Gill, et al., "Is hepatitis C elimination possible among HIV-infected population in Canada?", JOURNAL OF VIRAL HEPATITIS, vol. 25: WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 10–11, 2018.
Foo, K. S., M. L. Lehtinen, C. Yan Leung, X. Lian, J. Xu, W. Keung, L. Geng, T. R. S. Kolstad, S. Thams, A. On- Tik Wong, et al., "Human ISL1+ ventricular progenitors self-assemble into an in vivo functional heart patch and preserve cardiac function post infarction", Molecular Therapy, vol. 26, no. 7: Cell Press, pp. 1644–1659, 2018.
Nazemi, A., S. Kamyab, Z. Azimifar, and P. Fieguth, "Human Perception-based Image Enhancement Using a Deep Generative Model", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Neher, H., K. Vats, A. Wong, and D. A. Clausi, "Hyperstacknet: A hyper stacked hourglass deep convolutional neural network architecture for joint player and stick pose estimation in hockey", 2018 15th Conference on Computer and Robot Vision (CRV): IEEE, pp. 313–320, 2018.
Cardenas, C. E., S. Pereira, R. E. McCarroll, L. Bodgi, M. Duclos, B. A. Elgohari, A. Canet, H. Elhalawani, M. L. Ferlazzo, C. D. Fuller, et al., "In Reply to Azria et al", INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, vol. 101, no. 2: Elsevier, pp. 491–492, 2018.
Gholami, P., P. Roy, M. Kuppuswamy Parthasarathy, A. Ommani, J. Zelek, and V. Lakshminarayanan, "Intra-retinal segmentation of optical coherence tomography images using active contours with a dynamic programming initialization and an adaptive weighting strategy", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXII, vol. 10483: International Society for Optics and Photonics, pp. 104832M, 2018.
Pfisterer, K. J., R. Amelard, and A. Wong, "Intuitive Data-Driven Visualization of Food Relatedness via t-Distributed Stochastic Neighbor Embedding", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Deglint, J. L., C. Jin, and A. Wong, "Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning", arXiv preprint arXiv:1810.10889, 2018.
Head, MD. Anderson C., N. Quantitati Group, and others, "Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients", Scientific reports, vol. 8: Nature Publishing Group, 2018.
Bello-Cerezo, R., P. Fieguth, and F. Bianconi, "LBP-motivated colour texture classification", Proceedings of the European Conference on Computer Vision (ECCV), pp. 0–0, 2018.
Wong, A., S. Chen, L. Kien Yang, Y. Kanagasundaram, and K. Crasta, "Lipid accumulation facilitates mitotic slippage-induced adaptation to anti-mitotic drug treatment", Cell death discovery, vol. 4, no. 1: Nature Publishing Group, pp. 1–15, 2018.
Elhalawani, H., T. A. Lin, S. Volpe, A. Mohamed, SR, A. L. White, J. Zafereo, A. J. Wong, J. E. Berends, S. AboHashem, B. Williams, et al., "Machine learning applications in head and neck radiation oncology: lessons from open-source radiomics challenges", Frontiers in oncology, vol. 8: Frontiers, pp. 294, 2018.
Carrington, A., P. Fieguth, and H. Chen, "Measures of model interpretability for model selection", International Cross-Domain Conference for Machine Learning and Knowledge Extraction: Springer, Cham, pp. 329–349, 2018.
Almeida-Brasil, C. C., E. E. M. Moodie, T. McLinden, A-M. Hamelin, S. L. Walmsley, S. B. Rourke, A. Wong, M. B. Klein, and J. Cox, "Medication nonadherence, multitablet regimens, and food insecurity are key experiences in the pathway to incomplete HIV suppression", Aids, vol. 32, no. 10: LWW, pp. 1323–1332, 2018.
Wong, A. Sheung Lai, Y. Fu, B. James Chwyl, A. Gina Chung, and M. Javad Shafiee, Method and apparatus for automatic event prediction, 2018.
Wong, A., M. Javad Shafiee, and M. St Jules, "Micronnet: A highly compact deep convolutional neural network architecture for real-time embedded traffic sign classification", IEEE Access, vol. 6: IEEE, pp. 59803–59810, 2018.
Chung, A., P. Fieguth, and A. Wong, "Mitigating architectural mismatch during the evolutionary synthesis of deep neural networks", arXiv preprint arXiv:1811.07966, 2018.
Dibra, E., S. Melchior, A. Balkis, T. Wolf, C. Oztireli, and M. Gross, "Monocular RGB hand pose inference from unsupervised refinable nets", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1075–1085, 2018.
Bidart, R., and A. Wong, "MonolithNet: Training monolithic deep neural networks via a partitioned training strategy", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Khalvati, F., J. Zhang, A. G. Chung, M. Javad Shafiee, A. Wong, and M. A. Haider, "MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection", BMC medical imaging, vol. 18, no. 1: BioMed Central, pp. 16, 2018.
Hryniowski, A., Z. Azimifar, P. Fieguth, A. Wong, and others, "Multi-Projector Content Preservation with Linear Filters", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Hryniowski, A., I. Ben Daya, A. Gawish, M. Lamm, A. Wong, and P. Fieguth, "Multi-projector resolution enhancement through biased interpolation", 2018 15th Conference on Computer and Robot Vision (CRV): IEEE, pp. 190–197, 2018.
Cooper, C., D. K. H. Wong, S. Hayock-Jacobs, S. K. Fung, L. Barrett, B. Conway, A. Wong, A. Ramji, K. E. Doucette, and C. S. Coffin, "A Multisite Nationwide Descriptive Analysis of HBV-HIV Co-Infection in Canada", HEPATOLOGY, vol. 68: WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 1232A–1233A, 2018.
Chacra, D. Abou, and J. Zelek, "Municipal Infrastructure Anomaly and Defect Detection", 2018 26th European Signal Processing Conference (EUSIPCO): IEEE, pp. 2125–2129, 2018.
Chung, A., P. Fieguth, and A. Wong, "Nature vs. nurture: The role of environmental resources in evolutionary deep intelligence", 2018 15th Conference on Computer and Robot Vision (CRV): IEEE, pp. 368–374, 2018.
Wong, A., "NetScore: Towards universal metrics for large-scale performance analysis of deep neural networks for practical usage", arXiv preprint arXiv:1806.05512, vol. 4, 2018.
Pfisterer, K. J., R. Amelard, A. G. Chung, and A. Wong, "A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared puréed food concentrations", Journal of food engineering, vol. 223: Elsevier, pp. 220–235, 2018.
Amelard, R., K. J. Pfisterer, S. Jagani, D. A. Clausi, and A. Wong, "Non-contact assessment of obstructive sleep apnea cardiovascular biomarkers using photoplethysmography imaging", Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, vol. 10501: International Society for Optics and Photonics, pp. 1050113, 2018.
Famouri, M., Z. Azimifar, and A. Wong, "A novel motion plane-based approach to vehicle speed estimation", IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 4: IEEE, pp. 1237–1246, 2018.
Wang, L., A. Patnik, E. Wong, J. Wong, and A. Wong, "OLIV: An Artificial Intelligence-Powered Assistant for Object Localization for Impaired Vision", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Hryniowski, A., and A. Wong, "PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations", arXiv preprint arXiv:1811.04303, 2018.
Ramji, A., E. Tam, J. Feld, C. Cooper, and A. Wong, "Prevalence of baseline NS5A resistance associated substitutions in treatment naive patients with genotype 1a or 3", Journal of Hepatology, vol. 68: Elsevier, pp. S291–S292, 2018.
Kronfli, N., R. Nitulescu, J. Cox, E. E. M. Moodie, A. Wong, C. Cooper, J. Gill, S. Walmsley, V. Martel-Laferriere, M. W. Hull, et al., "Previous incarceration impacts access to hepatitis C virus (HCV) treatment among HIV-HCV co-infected patients in Canada", Journal of the International AIDS Society, vol. 21, no. 11, pp. e25197, 2018.
Geng, L., C-W. Kong, A. O. T. Wong, A. Man- Yee Shum, M. Z. Y. Chow, H. Che, C. Zhang, K-L. Yau, C. W. Chan, W. Keung, et al., "Probing flecainide block of INa using human pluripotent stem cell-derived ventricular cardiomyocytes adapted to automated patch-clamping and 2D monolayers", Toxicology Letters, vol. 294: Elsevier, pp. 61–72, 2018.
Hu, X., A. G. Chung, P. Fieguth, F. Khalvati, M. A. Haider, and A. Wong, "Prostategan: Mitigating data bias via prostate diffusion imaging synthesis with generative adversarial networks", arXiv preprint arXiv:1811.05817, 2018.
Hu, X., A. Chung, A. Wong, and P. Fieguth, "ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks", Conference on Neural Information Processing Systems Workshop, 2018.
Jin, C., M. M. F. Mesquita, J. L. Deglint, M. B. Emelko, and A. Wong, "Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature", Scientific reports, vol. 8, no. 1: Nature Publishing Group, pp. 1–12, 2018.
Howe, A., V. Cento, N. Knight, J. Dietz, V. Chiara Di Maio, A. De Salazar, S. Popping, S. Fourati, E. Knops, M. Kjellin, et al., "A real world resistance profile of virologic failures collected from an international collaboration (SHARED)", Hepatology, vol. 68, no. 1: John Wiley & Sons, pp. 128A, 2018.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Real-time embedded motion detection via neural response mixture modeling", Journal of Signal Processing Systems, vol. 90, no. 6: Springer US, pp. 931–946, 2018.
Ma, B., A. Gawish, A. Wong, P. Fieguth, and M. Lamm, Real-time spatial-based resolution enhancement using shifted superposition, 2018.
Saeed, S., E. E. M. Moodie, E. Strumpf, J. Gill, A. Wong, C. Cooper, S. Walmsley, M. Hull, V. Martel-Laferriere, M. B. Klein, et al., "Real-world impact of direct acting antiviral therapy on health-related quality of life in HIV/Hepatitis C co-infected individuals", Journal of viral hepatitis, vol. 25, no. 12, pp. 1507–1514, 2018.
Wong, A., C. Tsien, S. Mansour, and C. Cooper, "Remaining clinical issues in hepatitis C treatment", Canadian Liver Journal, vol. 1, no. 2: University of Toronto Press, pp. 66–77, 2018.
Driedger, M., D. Wiercigroch, M. Downer MUN, A. Franklyn, J. Milden, A. Sharp, and A. Wong, "Responding to Canada’s opioid crisis", Ottawa (ON): Canadian Federation of Medical Students (CFMS), 2018.
Fang, Y., L. Xu, J. Peng, H. Wang, A. Wong, and D. A. Clausi, "RETRIEVAL AND MAPPING OF HEAVY METAL CONCENTRATION IN SOIL USING TIME SERIES LANDSAT 8 IMAGERY.", International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, vol. 42, no. 3, 2018.
Ben Daya, I., M. Javad Shaifee, M. Karg, C. Scharfenderger, and A. Wong, "On Robustness of deep neural networks: a comprehensive study on the effect of architecture and weight initialization to susceptibility and transferability of adversarial attacks", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Wong, A., D. Goldstein, J. Mallolas, E. DeJesus, M. Johnson, J. Molina, A. Pozniak, A. Rodgers, V. Teal, D. Hepler, et al., "Safety and efficacy of doravirine/lamivudine/tenofovir disoproxil fumarate (DOR/3TC/TDF) in treatment-naïve HIV-1 infected adults with transmitted NNRTI resistance mutations", JOURNAL OF THE INTERNATIONAL AIDS SOCIETY, vol. 21: JOHN WILEY & SONS LTD THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W …, 2018.
Deglint, J. L., L. Tang, Y. Wang, C. Jin, and A. Wong, "Samson: Spectral absorption-fluorescence microscopy system for on-site-imaging of algae", arXiv preprint arXiv:1810.09838, 2018.
Tang, L., Y. Wang, C. Jin, A. Wong, and others, "SAMSON: Spectral Absorption-fluorescence Microscopy System for ON-site-imaging of algae", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Medeiros, R. Sachett, A. Wong, and J. Scharcanski, "Scalable image segmentation via decoupled sub-graph compression", Pattern Recognition, vol. 78: Pergamon, pp. 228–241, 2018.
Wang, J., C. R. Duguay, D. A. Clausi, V. Pinard, and S. E. L. Howell, "Semi-automated classification of lake ice cover using dual polarization RADARSAT-2 imagery", Remote Sensing, vol. 10, no. 11: Multidisciplinary Digital Publishing Institute, pp. 1727, 2018.
Karimi, A-H., A. Wong, and A. Ghodsi, "SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections", arXiv preprint arXiv:1811.03166, 2018.
Shafiee, M. Javad, B. Chwyl, F. Li, R. Chen, M. Karg, C. Scharfenberger, and A. Wong, "StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks", arXiv, pp. arXiv–1801, 2018.
Liu, L., J. Chen, P. Fieguth, G. Zhao, R. Chellappa, and M. Pietikäinen, "A survey of recent advances in texture representation", arXiv preprint arXiv:1801.10324, vol. 3: vol, 2018.
Wong, A. Sheung Lai, and M. Javad Shafiee, System and method for building artificial neural network architectures, 2018.
Wong, A. Sheung Lai, and F. Kazemzadeh, System, method and apparatus for improving the spectral resolution and signal-to-noise ratio of optical spectrometer using digital beam refocusing, reforming, slicing, and multiplexing, 2018.
"Text Enhancement in Projected Imagery", Conference on Vision and Imaging Systems, 2018.
Hu, X., M. A. Naiel, Z. Azimifar, I. Ben Daya, M. Lamm, and P. Fieguth, "Text enhancement in projected imagery", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Womg, A., M. Javad Shafiee, F. Li, and B. Chwyl, "Tiny SSD: A tiny single-shot detection deep convolutional neural network for real-time embedded object detection", 2018 15th Conference on Computer and Robot Vision (CRV): IEEE, pp. 95–101, 2018.
Sankar, V., A. Gawish, P. Fieguth, and M. Lamm, "Understanding Blur and Model Learning in Projector Compensation", Journal of Computational Vision and Imaging Systems, vol. 4, no. 1, pp. 3–3, 2018.
Fang, Y., L. Xu, J. Peng, H. Yang, A. Wong, and D. A. Clausi, "Unsupervised bayesian classification of a hyperspectral image based on the spectral mixture model and markov random field", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 9: IEEE, pp. 3325–3337, 2018.
Nazemi, A., M. Javad Shafiee, Z. Azimifar, and A. Wong, "Unsupervised feature learning toward a real-time vehicle make and model recognition", arXiv preprint arXiv:1806.03028, 2018.
Saffih, F., and P. Fieguth, "Vehicle Longitudinal Acceleration Determination from Mobile Phone Sensor: An IoT System Solution for Intelligent Transportation", 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT): IEEE, pp. 706–710, 2018.
Wong, A., M. Javad Shafiee, and M. St Jules, "μnet: A highly compact deep convolutional neural network architecture for real-time embedded traffic sign classification", arXiv preprint arXiv:1804.00497, 2018.
2017
Rob, D., R. Špunda, J. Lindner, J. Šmalcová, O. Šmíd, T. Kovárník, A. Linhart, J. B\`\ilohlávek, MM. Marinoni, G. Cianchi, et al., "37th International Symposium on Intensive Care and Emergency Medicine (part 2 of 3)", Critical Care, vol. 21, no. 1: BioMed Central, pp. 1–68, 2017.
Amelard, R., R. L. Hughson, D. K. Greaves, D. A. Clausi, and A. Wong, "Assessing photoplethysmographic imaging performance beyond facial perfusion analysis", Optical Diagnostics and Sensing XVII: Toward Point-of-Care Diagnostics, vol. 10072: International Society for Optics and Photonics, pp. 100720Q, 2017.
Lunscher, N., M. Lin Chen, N. Jiang, and J. Zelek, "Automated screening for diabetic retinopathy using compact deep networks", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Durand, M., C. Chartrand-Lefebvre, J-G. Baril, S. Trottier, B. Trottier, M. Harris, S. Walmsley, B. Conway, A. Wong, J-P. Routy, et al., "The Canadian HIV and aging cohort study-determinants of increased risk of cardio-vascular diseases in HIV-infected individuals: rationale and study protocol", BMC infectious diseases, vol. 17, no. 1: BioMed Central, pp. 611, 2017.
Antoniou, T., L. Szadkowski, S. Walmsley, C. Cooper, A. N. Burchell, A. M. Bayoumi, J. S. G. Montaner, M. Loutfy, M. B. Klein, N. Machouf, et al., "Comparison of atazanavir/ritonavir and darunavir/ritonavir based antiretroviral therapy for antiretroviral naïve patients", BMC Infectious Diseases, vol. 17, no. 1: BioMed Central, pp. 266, 2017.
Haines, L., O. Kralj, S. Marschall, A. Gawish, P. Fieguth, N. Singal, H. Chew, D. Rootman, A. Slomovic, W. Hatch, et al., "Comparison of corneal epithelial thickness before and after corneal cross-linking surgery with and without intracorneal ring segments using optical coherence tomography", Investigative Ophthalmology & Visual Science, vol. 58, no. 8: The Association for Research in Vision and Ophthalmology, pp. 3524–3524, 2017.
Wong, A. Sheung Lai, Compensated magnetic resonance imaging system and method for improved magnetic resonance imaging and diffusion imaging, 2017.
Ben Daya, I., A. I. H. Chen, M. Javad Shafiee, J. T. W. Yeow, and A. Wong, "Compensated Row-Column Ultrasound Imaging System Using Edge-Guided Three Dimensional Random Fields", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Ben Daya, I., A. I. H. Chen, M. Javad Shafiee, A. Wong, and J. T. W. Yeow, "Compensated row-column ultrasound imaging system using multilayered edge guided stochastically fully connected random fields", Scientific reports, vol. 7, no. 1: Nature Publishing Group, pp. 1–18, 2017.
Ben Daya, I., A. I. H. Chen, M. Javad Shafiee, A. Wong, and J. T. W. Yeow, "Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields", International Conference Image Analysis and Recognition: Springer, Cham, pp. 107–116, 2017.
Wong, A., and J. T. W. Yeow, "Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields", Image Analysis and Recognition: 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings, vol. 10317: Springer, pp. 107, 2017.
Fieguth, P., "Complex Systems", An Introduction to Complex Systems: Springer, Cham, pp. 245–269, 2017.
Haider, S. A., F. Kazemzadeh, and A. Wong, "Computational laser intensity stabilisation for organic molecule concentration estimation in low-resource settings", Optics and Biophotonics in Low-Resource Settings III, vol. 10055: International Society for Optics and Photonics, pp. 100550W, 2017.
Kumar, D., H. Neher, A. Das, D. A. Clausi, and S. L. Waslander, "Condition and viewpoint invariant omni-directional place recognition using cnn", 2017 14th Conference on Computer and Robot Vision (CRV): IEEE, pp. 32–39, 2017.
Wong, A. Sheung Lai, Correlated diffusion imaging system and method for identification of biological tissue of interest, 2017.
Lunscher, N., and J. Zelek, "Deep learning anthropomorphic 3d point clouds from a single depth map camera viewpoint", Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 689–696, 2017.
Cardenas, C., R. McCarroll, B. Elgohari, H. Elhalawani, C. Fuller, M. Jomaa, M. Meheissen, A. Mohamed, A. Rao, B. Williams, et al., "Deep Learning On Clinically-Clustered Patients Improves Auto-Delineation of Oropharyngeal High-Risk Clinical Target Volumes: MO-L-GePD-J (B)-03", Medical Physics, vol. 44, no. 6, 2017.
Arlette, J., A. Wong, I. Khodadad, and F. Kazemzadeh, "Deep tissue sequencing using augmented intelligence to probe melanocytic lesions", Journal of Cutaneous Medicine and Surgery, vol. 21, no. 6: SAGE Publications Sage CA: Los Angeles, CA, pp. 572–572, 2017.
Chwyl, B., A. G. Chung, M. Javad Shafiee, Y. Fu, and A. Wong, "DeepPredict: A deep predictive intelligence platform for patient monitoring", 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): IEEE, pp. 4309–4312, 2017.
Ma, A., A. Wong, and D. Clausi, "Depth from defocus via active multispectral quasi-random point projections using deep learning", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Ma, A., A. Wong, and D. Clausi, "Depth from defocus via active quasi-random point projections: A deep learning approach", International Conference Image Analysis and Recognition: Springer, Cham, pp. 35–42, 2017.
Wong, A., Y. Li, M. Lamm, and H. Sekkati, Device, system and method for content-adaptive resolution-enhancement, 2017.
Brzozowska, N. I., E. J. de Tonnerre, K. M. Li, X. Suo Wang, A. A. Boucher, P. D. Callaghan, M. Kuligowski, A. Wong, and J. C. Arnold, "The differential binding of antipsychotic drugs to the ABC transporter p-glycoprotein predicts cannabinoid–antipsychotic drug interactions", Neuropsychopharmacology, vol. 42, no. 11: Nature Publishing Group, pp. 2222–2231, 2017.
Arnold, J., A. Alexandra Boucher, N. Brzozowska, P. Callaghan, E. de Tonnerre, M. Kuligowski, K. Li, X. Wang, and A. Wong, The Differential Binding of Antipsychotic Drugs to the ABC Transporter P-Glycoprotein Predicts Cannabinoid-Antipsychotic Drug Interactions: Nature Publishing Group, 2017.
Kumar, D., A. G. Chung, M. J. Shaifee, F. Khalvati, M. A. Haider, and A. Wong, "Discovery radiomics for pathologically-proven computed tomography lung cancer prediction", International Conference Image Analysis and Recognition: Springer, Cham, pp. 54–62, 2017.
Khalvati, F., M. A. Haider, A. Ghodsi, and A. Wong, "Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification", Image Analysis and Recognition: 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings, vol. 10317: Springer, pp. 45, 2017.
Karimi, A-H., A. G. Chung, M. Javad Shafiee, F. Khalvati, M. A. Haider, A. Ghodsi, and A. Wong, "Discovery radiomics via a mixture of deep convnet sequencers for multi-parametric MRI prostate cancer classification", International Conference Image Analysis and Recognition: Springer, Cham, pp. 45–53, 2017.
Shafiee, M. Javad, and A. Wong, "Discovery radiomics via deep multi-column radiomic sequencers for skin cancer detection", arXiv preprint arXiv:1709.08248, 2017.
Shafiee, M. Javad, and A. Wong, "Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection", arXiv, pp. arXiv–1709, 2017.
Shafiee, M. Javad, A. G. Chung, F. Khalvati, M. A. Haider, and A. Wong, "Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection", Journal of medical imaging, vol. 4, no. 4: International Society for Optics and Photonics, pp. 041305, 2017.
Shafiee, M. Javad, A. G. Chung, F. Khalvati, M. A. Haider, and A. Wong, "Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection", arXiv, pp. arXiv–1705, 2017.
Saeed, S., E. C. Strumpf, E. E. M. Moodie, J. Young, R. Nitulescu, J. Cox, A. Wong, S. Walmsely, C. Cooper, M-L. Vachon, et al., "Disparities in direct acting antivirals uptake in HIV-hepatitis C co-infected populations in Canada", Journal of the International AIDS Society, vol. 20, no. 3, pp. e25013, 2017.
Fieguth, P., "Dynamic Systems", An Introduction to Complex Systems: Springer, Cham, pp. 41–65, 2017.
Abou-Chacra, D., and J. Zelek, "Effects of Spatial Transformer Location on Segmentation Performance of a Dense Transformer Network", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Kasiri, K., M. Javad Shafiee, F. Li, A. Wong, and J. Eichel, "Efficient Deep Network Architecture for Vision-Based Vehicle Detection Keyvan Kasiri", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Ma, A., and A. Wong, "Enhanced depth from defocus via active quasi-random colored point projections", 9th International Conference on Inverse Problem in Engineering, 2017.
Karimi, A. Hossein, M. Javad Shafiee, A. Ghodsi, and A. Wong, "Ensembles of Random Projections for Nonlinear Dimensionality Reduction", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Shafiee, M. Javad, E. Barshan, and A. Wong, "Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks", arXiv, pp. arXiv–1704, 2017.
Shafiee, M. Javad, E. Barshan, and A. Wong, "Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks", arXiv preprint arXiv:1704.02081, 2017.
Kumar, D., A. Wong, and G. W. Taylor, "Explaining the unexplained: A class-enhanced attentive response (clear) approach to understanding deep neural networks", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 36–44, 2017.
Shafiee, M. Javad, F. Li, and A. Wong, "Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks", arXiv, pp. arXiv–1707, 2017.
Shafiee, M. Javad, F. Li, and A. Wong, "Exploring the imposition of synaptic precision restrictions for evolutionary synthesis of deep neural networks", arXiv preprint arXiv:1707.00095, 2017.
Cao, Y., L. Xu, and D. Clausi, "Exploring the Potential of Active Learning for Automatic Identification of Marine Oil Spills Using 10-Year (2004–2013) RADARSAT Data", Remote Sensing, vol. 9, no. 10: Multidisciplinary Digital Publishing Institute, pp. 1041, 2017.
Shafiee, M. Javad, B. Chywl, F. Li, and A. Wong, "Fast YOLO: A fast you only look once system for real-time embedded object detection in video", arXiv preprint arXiv:1709.05943, 2017.
Lunscher, N., and J. Zelek, "Foot depth map point cloud completion using deep learning with residual blocks", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Chacra, D. B. Abou, and J. S. Zelek, "Fully automated road defect detection using street view images", 2017 14th Conference on Computer and Robot Vision (CRV): IEEE, pp. 353–360, 2017.
Clark, T., J. Zhang, S. Baig, A. Wong, M. A. Haider, and F. Khalvati, "Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural networks", Journal of Medical Imaging, vol. 4, no. 4: International Society for Optics and Photonics, pp. 041307, 2017.
Clark, T., A. Wong, M. A. Haider, and F. Khalvati, "Fully deep convolutional neural networks for segmentation of the prostate gland in diffusion-weighted MR images", International Conference Image Analysis and Recognition: Springer, Cham, pp. 97–104, 2017.
Kumar, AN., and NS. Upadhye, "On Generalizations of ($ k_1, k_2 $)-runs", arXiv preprint arXiv:1707.08367, 2017.
Furfari, A., B. Angela Wan, K. Ding, A. Wong, L. Zhu, A. Bezjak, R. Wong, C. F. Wilson, C. DeAngelis, A. Azad, et al., "Genetic biomarkers associated with changes in quality of life and pain following palliative radiotherapy in patients with bone metastases.", Annals of palliative medicine, vol. 6, no. Suppl 2, pp. S248–S256, 2017.
Furfari, A., B. Angela Wan, K. Ding, A. Wong, L. Zhu, A. Bezjak, R. Wong, C. F. Wilson, C. DeAngelis, A. Azad, et al., "Genetic biomarkers associated with pain flare and dexamethasone response following palliative radiotherapy in patients with painful bone metastases.", Annals of palliative medicine, vol. 6, no. Suppl 2, pp. S240–S247, 2017.
Furfari, A., B. Angela Wan, K. Ding, A. Wong, L. Zhu, A. Bezjak, R. Wong, C. F. Wilson, C. DeAngelis, A. Azad, et al., "Genetic biomarkers associated with response to palliative radiotherapy in patients with painful bone metastases.", Annals of palliative medicine, vol. 6, no. Suppl 2, pp. S233–S239, 2017.
Fieguth, P., "Global warming and climate change", An Introduction to Complex Systems: Springer, Cham, pp. 5–12, 2017.
MacLean, A., K. Pfisterer, R. Amelard, A. G. Chung, D. Kumar, and A. Wong, "Goldilocks and the Three Parameters: Empirically Finding the" Just Right" for Segmenting Food Images for the AFINI-T System", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Lang, R., J. Minion, and A. Wong, "Hematospermia in a returned traveler", Canadian Urological Association Journal, vol. 11, no. 1-2: Canadian Medical Association, pp. E41, 2017.
Garcia, G. H., J. N. Liu, R. M. Degen, C. C. Johnson, A. Wong, D. M. Dines, L. V. Gulotta, and J. S. Dines, "Higher critical shoulder angle increases the risk of retear after rotator cuff repair", Journal of shoulder and elbow surgery, vol. 26, no. 2: Mosby, pp. 241–245, 2017.
Fani, M., H. Neher, D. A. Clausi, A. Wong, and J. Zelek, "Hockey action recognition via integrated stacked hourglass network", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 29–37, 2017.
Wang, L., A. K Scott, D. A. Clausi, and Y. Xu, "Ice concentration estimation in the gulf of St. Lawrence using fully convolutional neural network", 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): IEEE, pp. 4991–4994, 2017.
Sankar, V., A. Gawish, and P. Fieguth, "Impact of training images on radiometric compensation", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Tran, M. Y. Y., R. Amelard, and A. Wong, "Integrating Multispectral Hemodynamic Imaging for Bulk Tissue Oxygenation Analysis", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Gunn, G. E., C. R. Duguay, C. Derksen, D. A. Clausi, and P. Toose, "Investigating the Influence of Variable Freshwater Ice Types on Passive and Active Microwave Observations", Remote Sensing, vol. 9, no. 12: Multidisciplinary Digital Publishing Institute, pp. 1242, 2017.
Durand, M., C. Chartrand-Lefebvre, JG. Baril, and others, "Investigators of the Canadian HIV and Aging Cohort Study. The Canadian HIV and Aging Cohort Study—determinants of increased risk of cardio-vascular diseases in HIV-infected individuals: rationale and study protocol", BMC Infect Dis, vol. 17, pp. 611, 2017.
Banijamali, E., A-H. Karimi, A. Wong, and A. Ghodsi, "Jade: Joint autoencoders for dis-entanglement", arXiv preprint arXiv:1711.09163, 2017.
Younes, G., D. Asmar, E. Shammas, and J. Zelek, "Keyframe-based monocular SLAM: design, survey, and future directions", Robotics and Autonomous Systems, vol. 98: North-Holland, pp. 67–88, 2017.
Shafiee, M. J., E. Barshan, F. Li, B. Chwyl, M. Karg, C. Scharfenberger, and A. Wong, "Learning efficient deep feature representations via transgenerational genetic transmission of environmental information during evolutionary synthesis of deep neural networks", Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 979–986, 2017.
Fieguth, P., "Linear Systems", An Introduction to Complex Systems: Springer, Cham, pp. 67–96, 2017.
Liu, L., P. Fieguth, Y. Guo, X. Wang, and M. Pietikäinen, "Local binary features for texture classification: Taxonomy and experimental study", Pattern Recognition, vol. 62: Pergamon, pp. 135–160, 2017.
Toft, C., C. Olsson, and F. Kahl, "Long-term 3d localization and pose from semantic labellings", Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 650–659, 2017.
Cho, D. S., F. Khalvati, D. A. Clausi, and A. Wong, "A machine learning-driven approach to computational physiological modeling of skin cancer", International Conference Image Analysis and Recognition: Springer, Cham, pp. 79–86, 2017.
Wong, A., "A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer", Image Analysis and Recognition: 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings, vol. 10317: Springer, pp. 79, 2017.
Elhalawani, H., A. Mohamed, SR, A. L. White, J. Zafereo, A. J. Wong, J. E. Berends, S. AboHashem, B. Williams, J. M. Aymard, A. Kanwar, et al., "Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges", Scientific data, vol. 4: Nature Publishing Group, pp. 170077, 2017.
Chung, A. G., M. Javad Shafiee, P. Fieguth, and A. Wong, "The mating rituals of deep neural networks: Learning compact feature representations through sexual evolutionary synthesis", Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 1220–1227, 2017.
Shum, A. M. Y., H. Che, A. On- Tik Wong, C. Zhang, H. Wu, C. W. Y. Chan, K. Costa, M. Khine, C-W. Kong, and R. A. Li, "A Micropatterned Human Pluripotent Stem Cell-Based Ventricular Cardiac Anisotropic Sheet for Visualizing Drug-Induced Arrhythmogenicity", Advanced Materials, vol. 29, no. 1, pp. 1602448, 2017.
Hu, X., A. Ma, A. Gawish, M. Lamm, and P. Fieguth, "Motion Detection in High Resolution Enhancement", Conference on Vision and Imaging Systems, 2017.
Hu, X., A. Ma, A. Gawish, M. Lamm, and P. Fieguth, "Motion detection in high resolution enhancement", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Gurm, S., O. Badawy, and A. Wong, "A Multi-layer Perceptron Approach to Automatically Detect Tissue via NIR Multispectral Imaging", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Rubio, A., LL. Yu, E. Simo-Serra, and F. Moreno-Noguer, "Multi-modal embedding for main product detection in fashion", Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 2236–2242, 2017.
Greenberg, S., A. G. Chung, A. Wong, and others, "Nebula: Live Dynamic Projection Mapping via Object Saliency", Bridges 2017 Conference Proceedings: Tessellations Publishing, pp. 431–434, 2017.
Amelard, R., R. L. Hughson, D. A. Clausi, and A. Wong, "Non-contact arrhythmia assessment in natural settings: a step toward preventive cardiac care", Diagnostic and Therapeutic Applications of Light in Cardiology, vol. 10042: International Society for Optics and Photonics, pp. 1004205, 2017.
Amelard, R., R. L. Hughson, D. K. Greaves, K. J. Pfisterer, J. Leung, D. A. Clausi, and A. Wong, "Non-contact hemodynamic imaging reveals the jugular venous pulse waveform", Scientific reports, vol. 7: Nature Publishing Group, pp. 40150, 2017.
Fieguth, P., "Nonlinear Dynamic Systems: Uncoupled", An Introduction to Complex Systems: Springer, Cham, pp. 97–134, 2017.
Xu, L., A. Wong, and D. A. Clausi, "A Novel Bayesian Spatial–Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 9: IEEE, pp. 4913–4924, 2017.
Fieguth, P., "Observation and Inference", An Introduction to Complex Systems: Springer, Cham, pp. 271–308, 2017.
Kumar, D., G. W. Taylor, and A. Wong, "Opening the black box of financial ai with clear-trade: A class-enhanced attentive response approach for explaining and visualizing deep learning-driven stock market prediction", arXiv preprint arXiv:1709.01574, 2017.
Quinlan-Davidson, S. R., A. Mohamed, SR, J. N. Myers, G. B. Gunn, F. M. Johnson, H. Skinner, B. M. Beadle, A. M. Gillenwater, J. Phan, S. J. Frank, et al., "Outcomes of oral cavity cancer patients treated with surgery followed by postoperative intensity modulated radiation therapy", Oral oncology, vol. 72: Pergamon, pp. 90–97, 2017.
Mohamed, SR, A., A. J. Wong, C. D. Fuller, M. Kamal, G. B. Gunn, J. Phan, W. H. Morrison, B. M. Beadle, H. Skinner, S. Y. Lai, et al., "Patterns of locoregional failure following post-operative intensity-modulated radiotherapy to oral cavity cancer: quantitative spatial and dosimetric analysis using a deformable image registration workflow", Radiation Oncology, vol. 12, no. 1: BioMed Central, pp. 129, 2017.
Joy, J., R. Liang, T. Nguyen, R. McCloskey, B. Brenner, T. Lynch, J. Gill, J. Buller, Z. Brumme, A. Burchell, et al., "Phylodynamic insights into HIV epidemic dynamics within Canada", JOURNAL OF THE INTERNATIONAL AIDS SOCIETY, vol. 20: JOHN WILEY & SONS LTD THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W …, pp. 100–101, 2017.
Lunscher, N., and J. Zelek, "Point cloud completion of foot shape from a single depth map for fit matching using deep learning view synthesis", Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 2300–2305, 2017.
Chung, A. G., P. Fieguth, and A. Wong, "Polyploidism in deep neural networks: m-parent evolutionary synthesis of deep neural networks in varying population sizes", Journal of Computational Vision and Imaging Systems, vol. 3, no. 1, 2017.
Neher, H., M. Fani, D. A. Clausi, A. Wong, and J. Zelek, "Pose estimation of players in hockey videos using convolutional neural networks", 2017 Ottawa Hockey Analytics Conference (OTTHAC), Ottawa, Canada, 2017.
Fieguth, P., "Power Laws and Non-Gaussian Systems", An Introduction to Complex Systems: Springer, Cham, pp. 211–244, 2017.
Beltrame, T., R. Amelard, A. Wong, and R. L. Hughson, "Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living", Scientific reports, vol. 7, no. 1: Nature Publishing Group, pp. 1–8, 2017.
Cardenas, C. E., A. Mohamed, SR, R. Tao, A. Wong, JR, M. J. Awan, S. Kuruvila, M. Aristophanous, B. G Gunn, J. Phan, B. M. Beadle, et al., "Prospective qualitative and quantitative analysis of real-time peer review quality assurance rounds incorporating direct physical examination for head and neck cancer radiation therapy", International Journal of Radiation Oncology* Biology* Physics, vol. 98, no. 3: Elsevier, pp. 532–540, 2017.
Kesselring, S., A. Cescon, G. Colley, C. Osborne, W. Zhang, JM. Raboud,, AN. Burchell, C. Cooper, MB. Klein, et al., "Quality of initial HIV care in Canada: extension of a composite programmatic assessment tool for HIV therapy", Hiv Medicine, vol. 18, no. 3, pp. 151–160, 2017.
Carter, K., L. Haines, B. MacLellan, O. Kralj, A. Gawish, P. Fieguth, L. Sorbara, and K. K. Bizheva, "Quantitative Analysis of Epithelial and Total Corneal Thickness in Keratoconus using Sub-Micrometer Axial Resolution Optical Coherence Tomography", Investigative Ophthalmology & Visual Science, vol. 58, no. 8: The Association for Research in Vision and Ophthalmology, pp. 3517–3517, 2017.
Zhang, Y., A. Oikonomou, A. Wong, M. A. Haider, and F. Khalvati, "Radiomics-based prognosis analysis for non-small cell lung cancer", Scientific reports, vol. 7: Nature Publishing Group, pp. 46349, 2017.
Shafiee, M. Javad, Randomly-connected Non-Local Conditional Random Fields: University of Waterloo, 2017.
Wang, L., A. K Scott, and D. A. Clausi, "Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network", Remote Sensing, vol. 9, no. 5: Multidisciplinary Digital Publishing Institute, pp. 408, 2017.
Kasiri, K., A. Gawish, and P. Fieguth, "Seam tracking in automated welding", 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC): IEEE, pp. 22–27, 2017.
Leopold, H. A., J. Orchard, J. Zelek, and V. Lakshminarayanan, "Segmentation and feature extraction of retinal vascular morphology", Medical Imaging 2017: Image Processing, vol. 10133: International Society for Optics and Photonics, pp. 101330V, 2017.
Zhang, J., S. Baig, A. Wong, M. A. Haider, and F. Khalvati, "Segmentation of prostate in diffusion MR images via clustering", International Conference Image Analysis and Recognition: Springer, Cham, pp. 471–478, 2017.
Li, F., H. Sekkati, J. Deglint, C. Scharfenberger, M. Lamm, D. Clausi, J. Zelek, and A. Wong, "Simultaneous projector-camera self-calibration for three-dimensional reconstruction and projection mapping", IEEE Transactions on Computational Imaging, vol. 3, no. 1: IEEE, pp. 74–83, 2017.
Fani, M., M. Yazdi, D. A. Clausi, and A. Wong, "Soccer video structure analysis by parallel feature fusion network and hidden-to-observable transferring Markov model", IEEE Access, vol. 5: IEEE, pp. 27322–27336, 2017.
Fieguth, P., "Spatial Systems", An Introduction to Complex Systems: Springer, Cham, pp. 169–210, 2017.
Shafiee, M. Javad, F. Li, B. Chwyl, and A. Wong, "SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis", arXiv preprint arXiv:1711.07459, 2017.
Shafiee, M. Javad, F. Li, B. Chwyl, and A. Wong, "SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis", arXiv, pp. arXiv–1711, 2017.
Li, F., D. A. Clausi, L. Xu, and A. Wong, "ST-IRGS: A region-based self-training algorithm applied to hyperspectral image classification and segmentation", IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1: IEEE, pp. 3–16, 2017.
Boroomand, A., B. Tan, A. Wong, and K. Bizheva, "A stochastically fully connected conditional random field framework for super resolution OCT", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, vol. 10053: International Society for Optics and Photonics, pp. 100532C, 2017.
Karimi, A-H., MJ. Shafiee, A. Ghodsi, and A. Wong, "Synthesizing deep neural network architectures using biological synaptic strength distributions", arXiv preprint arXiv:1707.00081, 2017.
Fieguth, P., "Systems Theory", An Introduction to Complex Systems: Springer, Cham, pp. 13–39, 2017.
Tse, G., T. Liu, K. Hou Christ Li, V. Laxton, A. On- Tik Wong, Y. Wah Fiona Chan, W. Keung, C. W. Y. Chan, and R. A. Li, "Tachycardia-bradycardia syndrome: Electrophysiological mechanisms and future therapeutic approaches", International journal of molecular medicine, vol. 39, no. 3: Spandidos Publications, pp. 519–526, 2017.
Patterson, S., S. Jose, H. Samji, A. Cescon, E. Ding, J. Zhu, J. Anderson, AN. Burchell, C. Cooper, T. Hill, et al., "A tale of two countries: all-cause mortality among people living with HIV and receiving combination antiretroviral therapy in the UK and Canada", HIV medicine, vol. 18, no. 9, pp. 655–666, 2017.
Adel, T., H. Zhao, and A. Wong, "Unsupervised domain adaptation with a relaxed covariate shift assumption", Proceedings of the AAAI Conference on Artificial Intelligence, vol. 31, no. 1, 2017.
Leopold, H. A., J. Orchard, J. Zelek, and V. Lakshminarayanan, "Use of Gabor filters and deep networks in the segmentation of retinal vessel morphology", Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, vol. 10068: International Society for Optics and Photonics, pp. 100680R, 2017.
Dash, P. Paramita, A. Wong, and A. Mishra, "VeNICE: A very deep neural network approach to no-reference image assessment", 2017 IEEE International Conference on Industrial Technology (ICIT): IEEE, pp. 1091–1096, 2017.
2016
Bing, C., G. Ke, A. Wong, and K. Crasta, Abstract B59: Autophagy mediates senescence and supports survival upon treatment with anti-mitotic drugs: American Association for Cancer Research, 2016.
Cao, Y., L. Xu, and D. Clausi, "Active learning for identifying marine oil spills using 10-year radarsat data", 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): IEEE, pp. 7722–7725, 2016.
P Eskandary, K., A. Khajepour, A. Wong, and M. Ansari, "Analysis and optimization of air suspension system with independent height and stiffness tuning", International Journal of Automotive Technology, vol. 17, no. 5: The Korean Society of Automotive Engineers, pp. 807–816, 2016.
Greenberg, S., and A. Wong, "Art from Algorithms: Saliency-Guided Digital Projections", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Deglint, J., A. Cameron, C. Scharfenberger, H. Sekkati, M. Lamm, A. Wong, and D. A. Clausi, "Auto-calibration of a projector–camera stereo system for projection mapping", Journal of the Society for Information Display, vol. 24, no. 8, pp. 510–520, 2016.
Jin, C., M. Mesquita, M. Emelko, and A. Wong, "Automated enumeration and size distribution analysis of Microcystis aeruginosa via fluorescence imaging", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Ben Daya, I., M. Noguchi, J. P. Callaghan, and A. Wong, Automated Histological Analysis System for Quantifying Microstructural Damage Accumulation to the Annulus Fibrosus: Kitchener-Waterloo Vision and Imaging Society, 2016.
Hoekstra, M., C. R. Duguay, and D. A. Clausi, "Automated Lake Ice Classification of Dual Polarization RADARSAT-2 SAR Imagery with the Iterative Region Growing using Semantics Algorithm", AGUFM, vol. 2016, pp. C33B–0819, 2016.
Liu, J., A. K Scott, A. Gawish, and P. Fieguth, "Automatic detection of the ice edge in SAR imagery using curvelet transform and active contour", Remote Sensing, vol. 8, no. 6: Multidisciplinary Digital Publishing Institute, pp. 480, 2016.
Liu, C., A. Wong, A. Akhlagh Moayed, P. Fieguth, H. Bie, and K. Bizheva, "Automatic tracking of pupillary dynamics from in vivo functional optical coherence tomography images", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 4, no. 5: Taylor & Francis, pp. 306–316, 2016.
Khalvati, F., J. Zhang, A. Wong, and M. A. Haider, "Bag of bags: Nested multi instance classification for prostate cancer detection", 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA): IEEE, pp. 146–151, 2016.
Boroomand, A., J. Deglint, and A. Wong, "Bayesian Compensated Microscopy", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Chwyl, B., R. Amelard, D. Clausi, and A. Wong, "A Bayesian multi-scale framework for photoplethysmogram imaging waveform processing", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Hull, M., S. Shafran, A. Wong, A. Tseng, P. Giguère, L. Barrett, S. Haider, B. Conway, M. Klein, and C. Cooper, "CIHR Canadian HIV trials network coinfection and concurrent diseases core research group: 2016 updated Canadian HIV/hepatitis C adult guidelines for management and treatment", Canadian Journal of Infectious Diseases and Medical Microbiology, vol. 2016: Hindawi, 2016.
Wilson, M., R. Amelard, D. Clausi, and A. Wong, "Co-integrating thermal and hemodynamic imaging for physiological monitoring", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Wong, A. O., L. Geng, M. Z. Chow, A. Shum, E. K. Lee, R. Tu, B. Shen, H. Wu, M. Kong, W. Keung, et al., "Combined Treatment of Microgroove-Induced Alignment, Triiodothyronine and Electrical Conditioning Promotes Functional Maturation of Human Pluripotent Stem Cell-Derived Cardiomyocytes in Engineered Cardiac Monolayers", Circulation, vol. 134, no. suppl_1: Lippincott Williams & Wilkins Hagerstown, MD, pp. A20622–A20622, 2016.
Deglint, J. L., K. Schoneveld, F. Kazemzadeh, and A. Wong, "A Compact Field-portable Computational Multispectral Microscope using Integrated Raspberry Pi", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Kazemzadeh, F., E. Kuang, and A. Wong, "Compact, Field-Portable Lens-free Microscope using Superresolution Spatio-Spectral Light-field Fusion", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Haider, S. A., F. Kazemzadeh, and A. Wong, "Compact, Field-Portable Smartphone Chiral Molecule Concentration Estimation System via Multi-sensor Computational Polarimetry", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Jin, C., M. Mesquita, M. Emelko, and A. Wong, "Computerized Enumeration and Bio-volume Estimation of the Cyanobacteria Anabaena flos-aquae", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Koch, C., K. Doycheva, V. Kasireddy, B. Akinci, and P. Fieguth, "Corrigendum to “A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure”[Advanced Engineering Informatics 29 (2)(2015) 196–210]", Advanced Engineering Informatics, vol. 30, no. 2: Elsevier, pp. 208–210, 2016.
Kasiri, K., P. Fieguth, and D. A. Clausi, "Cross modality label fusion in multi-atlas segmentation of brain MRI", Imaging Network Ontario-ImNO, 2016.
Dash, P. Paramita, A. Mishra, and A. Wong, "Deep Quality: A Deep No-reference Quality Assessment System", arXiv preprint arXiv:1609.07170, 2016.
Shafiee, M. Javad, A. Wong, and P. Fieguth, "Deep randomly-connected conditional random fields for image segmentation", IEEE Access, vol. 5: IEEE, pp. 366–378, 2016.
Ma, A., F. Li, and A. Wong, "Depth from defocus via active quasi-random point projections", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Chung, A., M. J. Shafiee, D. Kumar, F. Khalvati, M. A. Haider, and A. Wong, "Discovery Radiomics via Layered Random Projection (LaRP) Sequencers for Prostate Cancer Classification", Annual Meeting of the Imaging Network of Ontario, 2016.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Efficient deep feature learning and extraction via StochasticNets", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 28–36, 2016.
Shafiee, M. J., P. Siva, P. Fieguth, and A. Wong, "Efficient Feature Learning and Extraction via StochasticNets", IEEE Computer Vision and Pattern Recognition Workshops, 2016.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Embedded motion detection via neural response mixture background modeling", 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW): IEEE, pp. 837–844, 2016.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Embedded motion detection via neural response mixture background modeling", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 19–26, 2016.
Shafiee, M. J., P. Siva, P. Fieguth, and A. Wong, "Embedded Motion Detection via Neural Response Mixture Background Modeling", IEEE Computer Vision and Pattern Recognition Workshops (IEEE CVPRW), 2016.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Embedded Motion Detection via Neural Response Mixture Background Modeling", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016.
Khalvati, F., J. Zhang, M. A. Haider, and A. Wong, "Enhanced dual-stage correlated diffusion imaging", 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): IEEE, pp. 5537–5540, 2016.
Khalvati, F., J. Zhang, M. Haider, and A. Wong, "Enhanced Dual-Stage Correlated Diffusion Imaging", Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), 2016.
Xu, L., A. Wong, and D. A. Clausi, "An enhanced probabilistic posterior sampling approach for synthesizing sar imagery with sea ice and oil spills", IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 2: IEEE, pp. 188–192, 2016.
Kuang, E., F. Kazemzadeh, and A. Wong, "Enhanced Smartphone Spectroscopy via High-throughput Computational Slit", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Bos, L., L. Schouten, L. van Vught, M. Wiewel, D. Ong, O. Cremer, A. Artigas, I. Martin-Loeches, A. Hoogendijk, T. van der Poll, et al., "ESICM LIVES 2016: part one", Intensive Care Medicine Experimental, vol. 4, no. 1: SpringerOpen, pp. 1–203, 2016.
Beltrame, T., R. Amelard, R. Villar, M. J. Shafiee, A. Wong, and R. L. Hughson, "Estimating oxygen uptake and energy expenditure during treadmill walking by neural network analysis of easy-to-obtain inputs", Journal of Applied Physiology, vol. 121, no. 5: American Physiological Society Bethesda, MD, pp. 1226–1233, 2016.
Liu, L., P. Fieguth, X. Wang, M. Pietikäinen, and D. Hu, "Evaluation of LBP and deep texture descriptors with a new robustness benchmark", European Conference on Computer Vision: Springer, Cham, pp. 69–86, 2016.
Shafiee, M. Javad, and A. Wong, "Evolutionary synthesis of deep neural networks via synaptic cluster-driven genetic encoding", arXiv preprint arXiv:1609.01360, 2016.
Shafiee, M. Javad, and A. Wong, "Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding", arXiv, pp. arXiv–1609, 2016.
Shafiee, M. Javad, A. Mishra, and A. Wong, "EvoNet: Evolutionary Synthesis of Deep Neural Networks", CoRR, 2016.
Liu, L., P. Fieguth, G. Zhao, M. Pietikäinen, and D. Hu, "Extended local binary patterns for face recognition", Information Sciences, vol. 358: Elsevier, pp. 56–72, 2016.
Azzi, C., D. C. Asmar, A. H. Fakih, and J. S. Zelek, "Filtering 3D Keypoints Using GIST For Accurate Image-Based Localization.", BMVC, 2016.
Haider, S., A. Cameron, P. Siva, D. Lui, M. J. Shafiee, A. Boroomand, N. Haider, and A. Wong, "Fluorescence microscopy image noise reduction using a stochastically-connected random field model", Nature Scientific Reports, 2016.
Haider, SA., A. Cameron, P. Siva, D. Lui, MJ. Shafiee, A. Boroomand, N. Haider, and A. Wong, "Fluorescence microscopy image noise reduction using a stochastically-connected random field model", Scientific reports, vol. 6: Nature Publishing Group, pp. 20640, 2016.
Xu, L., M. Javad Shafiee, A. Wong, and D. A. Clausi, "Fully connected continuous conditional random field with stochastic cliques for dark-spot detection in SAR imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 7: IEEE, pp. 2882–2890, 2016.
Xu, L., J. M. Shafiee, A. Wong, and D. A. Clausi, "Fully-Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-spot Detection In SAR Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016. PDF icon sfcrf_for_oil_spill_detection.pdf (2.91 MB)
Wang, J., C. R. Duguay, and D. A. Clausi, "Great Lakes Ice Classification Using Dual Polarization Sentinel-1 SAR Imagery", AGUFM, vol. 2016, pp. C33B–0820, 2016.
Li, F., J. Zelek, and A. Wong, "Hierarchical Grouping Approach for Fast Approximate RGBD Scene Flow", Conference on Computer and Robot Vision (CRV), 2016.
Li, F., A. Wong, and J. Zelek, "Hierarchical grouping approach for fast approximate rgb-d scene flow", 2016 13th Conference on Computer and Robot Vision (CRV): IEEE, pp. 140–147, 2016.
Chung, A., M. Shafiee, and A. Wong, "Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions", Conference on Computer and Robot Vision (CRV), 2016.
Chung, A. G., M. Javad Shafiee, and A. Wong, "Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions", 2016 13th Conference on Computer and Robot Vision (CRV): IEEE, pp. 194–200, 2016.
Medeiros, RS., J. Scharcanski, and A. Wong, "Image segmentation via multi-scale stochastic regional texture appearance models", Computer Vision and Image Understanding, vol. 142: Academic Press, pp. 23–36, 2016.
Gawish, A., L. Haines, S. Marschall, A. Wong, L. Sorbara, K. Bizheva, and P. Fieguth, "Improved OCT Human Corneal segmentation Using Bayesian Residual Transform", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Wang, L., K. S. Scott, and D. A. Clausi, "Improved sea ice concentration estimation through fusing classified SAR imagery and AMRS-E data", Canadian Journal of Remote Sensing, 01/2016.
Wang, L., A. K Scott, and D. A. Clausi, "Improved sea ice concentration estimation through fusing classified SAR imagery and AMSR-E data", Canadian Journal of Remote Sensing, vol. 42, no. 1: Taylor & Francis, pp. 41–52, 2016.
Wong, A., D. Kasinathan, A. Khajepour, S-K. Chen, and B. Litkouhi, "Integrated torque vectoring and power management framework for electric vehicles", Control Engineering Practice, vol. 48: Pergamon, pp. 22–36, 2016.
Lunscher, N., G. Younes, D. Abou Chacra, H. Leopold, J. Pinto, and J. Zelek, "IR Shape From Shading Enhanced RGBD for 3D Scanning", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Jeya, L., and J. Zelek, "KinectScenes: Robust Real-Time RGB-D Fusion for Animal Behavioural Monitoring", 2016 13th Conference on Computer and Robot Vision (CRV): IEEE, pp. 383–390, 2016.
Kazemzadeh, F., and A. Wong, "Laser light-field fusion for wide-field lensfree on-chip phase contrast nanoscopy", arXiv preprint arXiv:1604.08145, 2016.
Kazemzadeh, F., and A. Wong, "Laser light-field fusion for wide-field lensfree on-chip phase contrast microscopy of nanoparticles", Scientific reports, vol. 6, no. 1: Nature Publishing Group, pp. 1–6, 2016.
Zhang, J., S. Baig, A. Wong, M. A. Haider, and F. Khalvati, "A local ROI-specific atlas-based segmentation of prostate gland and transitional zone in diffusion MRI", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Liu, L., S. Lao, P. W. Fieguth, Y. Guo, X. Wang, and M. Pietikäinen, "Median robust extended local binary pattern for texture classification", IEEE Transactions on Image Processing, vol. 25, no. 3: IEEE, pp. 1368–1381, 2016.
Shafiee, M. Javad, P. Siva, C. Scharfenberger, P. Fieguth, and A. Wong, "Nerd: A neural response divergence approach to visual saliency detection", IEEE Signal Processing Letters, vol. 23, no. 10: IEEE, pp. 1404–1408, 2016.
Chung, A. G., and A. Wong, "Noise Suppression and Contrast Enhancement via Bayesian Residual Transform (BRT) in Low-Light Conditions", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Boroomand, A., M. Javad Shafiee, F. Khalvati, M. A. Haider, and A. Wong, "Noise-compensated, bias-corrected diffusion weighted endorectal magnetic resonance imaging via a stochastically fully-connected joint conditional random field model", IEEE transactions on medical imaging, vol. 35, no. 12: IEEE, pp. 2587–2597, 2016.
Haider, S., A. Cameron, P. Siva, N. Haider, A. Boroomand, D. Lui, M. J. Shafiee, and A. Wong, "Noise-compensated fluoroscopy imaging using a stochastically-connected random field model", Nature Scientific Reports, 2016.
Keung, W., L. Ren, S. Li, A. On- Tik Wong, A. Chopra, C-W. Kong, G. F. Tomaselli, C. S. Chen, and R. A. Li, "Non-cell autonomous cues for enhanced functionality of human embryonic stem cell-derived cardiomyocytes via maturation of sarcolemmal and mitochondrial K ATP channels", Scientific reports, vol. 6, no. 1: Nature Publishing Group, pp. 1–13, 2016.
Amelard, R., K. J. Pfisterer, D. A. Clausi, and A. Wong, "Non-contact hematoma damage and healing assessment using reflectance photoplethysmographic imaging", Multimodal Biomedical Imaging XI, vol. 9701: International Society for Optics and Photonics, pp. 970112, 2016.
Amelard, R., K. J. Pfisterer, J. Leung, A. Wong, D. A. Clausi, D. K. Greaves, and R. L. Hughson, Non-contact wide-field hemodynamic imaging reveals the inverted jugular venous pulse waveform, 2016.
Deglint, J., F. Kazemzadeh, D. Cho, D. A. Clausi, and A. Wong, "Numerical demultiplexing of color image sensor measurements via non-linear random forest modeling", Scientific reports, vol. 6, no. 1: Nature Publishing Group, pp. 1–9, 2016.
Zhang, J., A. Eilaghi, M. A. Haider, A. Wong, and F. Khalvati, "Optimized Correlated Diffusion Imaging for Prostate Cancer Detection", Imaging Network Ontario (ImNO), pp. 37, 2016.
Deglint, J., A. G. Chung, B. Chwyl, R. Amelard, F. Kazemzadeh, X. Yu Wang, D. A. Clausi, and A. Wong, "Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring", Multimodal Biomedical Imaging XI, vol. 9701: International Society for Optics and Photonics, pp. 970111, 2016.
Zuj, K., J. Deglint, A. Gawish, A. Wong, DA. Clausi, and RL. Hughson, "PO-27 A NEW SOFTWARE FOR DETERMINING CHANGES IN ARTERIAL DIAMETER OVER TIME", Artery Research, vol. 16: Atlantis Press, pp. 97–97, 2016.
Kasiri, K., H. Sekkati, and D. A. Clausi, "Quality assessment in digital pathology images", Imaging Network Ontario-ImNO, 2016.
Greenberg, S., J. McPhee, and A. Wong, "Quasi-Monte and Data-Driven Monte Carlo Methods for Efficient Human Joint Model Fitting", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Wong, A. J., A. Kanwar, A. S. Mohamed, and C. D. Fuller, "Radiomics in head and neck cancer: from exploration to application", Translational cancer research, vol. 5, no. 4: NIH Public Access, pp. 371, 2016.
Chung, A., M. J. Shafiee, and A. Wong, "Random feature maps via a layered random projection (LARP) framework for classification", IEEE Conference on Image Processing (IEEE ICIP), 2016.
Chung, A. G., M. Javad Shafiee, and A. Wong, "Random feature maps via a Layered Random Projection (LARP) framework for object classification", 2016 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 246–250, 2016.
Liu, L., L. Wang, L. Zhao, and P. Fieguth, "Random projections and Single BoW for fast and Robust texture segmentation", Information Sciences, vol. 370: Elsevier, pp. 428–445, 2016.
Siva, P., M. Javad Shafiee, M. Jamieson, and A. Wong, "Real-time, embedded scene invariant crowd counting using scale-normalized histogram of moving gradients (homg)", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 67–74, 2016.
Kazemzadeh, F., and A. Wong, "Resolution-and throughput-enhanced spectroscopy using a high-throughput computational slit", Optics letters, vol. 41, no. 18: Optical Society of America, pp. 4352–4355, 2016.
Chacra, D. Abou, H. Leopold, J. Pinto, N. Lunscher, G. Younes, and J. Zelek, "Road Defect Detection in Street View Images using Texture Descriptors and Contour Maps", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Chacra, D. Abou, and J. Zelek, "Road segmentation in street view images using texture information", 2016 13th Conference on Computer and Robot Vision (CRV): IEEE, pp. 424–431, 2016.
Gawish, A., C. Scharfenberger, H. Bi, A. Wong, P. Fieguth, and D. A. Clausi, "Robust Non-Saliency Guided Watermarking", Conference on Computer and Robot Vision, 03/2016.
Gawish, A., C. Scharfenberger, H. Bi, A. Wong, P. Fieguth, and D. Clausi, "Robust Non-saliency guided watermarking", 2016 13th Conference on Computer and Robot Vision (CRV): IEEE, pp. 32–36, 2016.
Wang, G., "Robust Structure from Motion in the Presence of Outliers and Missing Data", arXiv preprint arXiv:1609.02638, 2016.
Boroomand, A., H. Sekkati, M. Lamm, D. A. Clausi, and A. Wong, "Saliency-guided projection geometric correction using a projector-camera system", 2016 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2951–2955, 2016.
Boroomand, A., H. Sekkati, M. Lamm, D. A. Clausi, and A. Wong, "Saliency-guided projection geometric correction using a projector-camera system", International Conference on Image Processing (ICIP), Phoenix, AZ, 09/2016.
Scharfenberger, C., A. Chung, A. Wong, and D. A. Clausi, "Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images", IEEE Access, vol. 4, pp. 48-60, 2016.
Chwyl, B., A. G. Chung, R. Amelard, J. Deglint, D. A. Clausi, and A. Wong, "SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments", 2016 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 1230–1234, 2016.
Chwyl, B., A. Chung, R. Amelard, J. Deglint, D. A. Clausi, and A. Wong, "SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments.", International Conference on Image Processing (ICIP), Phoenix, AZ, 09/2016.
Younes, G., D. Asmar, J. Zelek, D. Abou Chacra, H. Leopold, J. Pinto, and N. Lunscher, "Scaled Monocular Visual SLAM", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Siva, P., M. Shafiee, M. Jamieson, and A. Wong, "Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)", IEEE Computer Vision and Pattern Recognition Workshops IEEE CVPRW, 2016.
Siva, P., M. Javad Shafiee, M. Jamieson, and A. Wong, "Scene invariant crowd segmentation and counting using scale-normalized histogram of moving gradients (HOMG)", arXiv preprint arXiv:1602.00386, 2016.
asdasda, sdadsad, 5, vol. 4, no. 5, shghdh, sfdsf, pp. 24, 2016. PDF icon testtest (64 KB)
Wang, L., A. K Scott, L. Xu, and D. A. Clausi, "Sea ice concentration estimation during melt from dual-pol SAR scenes using deep convolutional neural networks: A case study", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 8: IEEE, pp. 4524–4533, 2016.
Wang, L., K.S. Scott, L. Xu, and D. A. Clausi, "Sea ice concentration estimation during melt from dual-polarized SAR images using deep convolutional networks: A case study.", IEEE Trans. Geosci. Rem. Sensing, 03/2016.
Kasiri, K., P. Fieguth, and D. A. Clausi, "Self-similarity measure for multi-modal image registration", IEEE International Conference on Image Processing (ICIP), 09/2016.
Kasiri, K., P. Fieguth, and D. A. Clausi, "Self-similarity measure for multi-modal image registration", 2016 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 4498–4502, 2016.
Kasiri, K., P. Fieguth, and D. A. Clausi, "Sorted self-similarity for multi-modal image registration", 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): IEEE, pp. 1151–1154, 2016.
Kasiri, K., P. Fieguth, and D. A. Clausi, "Sorted self-similarity for multi-modal image registration", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 08/2016.
Khalvati, F., J. Zhang, S. Baig, M. A. Haider, and A. Wong, "Sparse Correlated Diffusion Imaging: A New Computational Diffusion MRI Modality for Prostate Cancer Detection", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Li, E., F. Khalvati, M. Javad Shafiee, M. A. Haider, and A. Wong, "Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields", BMC medical imaging, vol. 16, no. 1: BioMed Central, pp. 1–12, 2016.
Li, E., M. Javad Shafiee, F. Kazemzadeh, and A. Wong, "Sparse reconstruction of compressive sensing multi-spectral data using an inter-spectral multi-layered conditional random field model", IEEE Access, vol. 4: IEEE, pp. 5540–5554, 2016.
Pinto, J., N. Lunscher, G. Younes, D. Abou Chacra, H. Leopold, and J. Zelek, "Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Amelard, R., D. A. Clausi, and A. Wong, "Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems", Journal of biomedical optics, vol. 21, no. 11: International Society for Optics and Photonics, pp. 116010, 2016.
Bai, L., L. Jiang, H. Wang, and Q. Sun, "Spatiotemporal characterization of land subsidence and uplift (2009–2010) over wuhan in central china revealed by terrasar-X insar analysis", Remote Sensing, vol. 8, no. 4: Multidisciplinary Digital Publishing Institute, pp. 350, 2016.
Karimi, A-H., J. M. Shafiee, C. Scharfenberger, I. B. Daya, S. Haider, N. Talukdar, D. A. Clausi, and A. Wong, "Spatio-Temporal Saliency Detection Using Abstracted Fully-Connected Graphical Models", International Conference on Image Processing, 09/2016.
Karimi, A. H., M. Javad Shafiee, C. Scharfenberger, I. BenDaya, S. Haider, N. Talukdar, D. A. Clausi, and A. Wong, "Spatio-temporal saliency detection using abstracted fully-connected graphical models", 2016 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 694–698, 2016.
Amelard, R., D. A. Clausi, and A. Wong, "Spectral photoplethysmographic imaging sensor fusion for enhanced heart rate detection", Multimodal Biomedical Imaging XI, vol. 9701: International Society for Optics and Photonics, pp. 970113, 2016.
Amelard, R., D. A. Clausi, and A. Wong, "Spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging", Biomedical optics express, vol. 7, no. 12: Optical Society of America, pp. 4874–4885, 2016.
Shafiee, M. J., P. Siva, and A. Wong, "StochasticNet: Forming Deep Neural networks via Stochastic Connectivity", IEEE Access Journal, vol. 4, 04/2016.
Shafiee, M. Javad, P. Siva, and A. Wong, "Stochasticnet: Forming deep neural networks via stochastic connectivity", IEEE Access, vol. 4: IEEE, pp. 1915–1924, 2016.
Shafiee, M. Javad, P. Fieguth, and A. Wong, "StochasticNet in StochasticNet", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Bizheva, K. K., B. Tan, E. Mason, B. MacLellan, L. Haines, A. Boroomand, A. Wong, and L. Sorbara, "Structure and vasculature of the human corneo-scleral limbus as imaged in-vivo with sub-micrometer axial resolution OCT", Investigative Ophthalmology & Visual Science, vol. 57, no. 12: The Association for Research in Vision and Ophthalmology, pp. 436–436, 2016.
Cardenas, C., A. Wong, A. Mohamed, J. Yang, L. Court, A. Rao, C. Fuller, and M. Aristophanous, "SU-C-BRA-05: Delineating High-Dose Clinical Target Volumes for Head and Neck Tumors Using Machine Learning Algorithms", Medical physics, vol. 43, no. 6Part2: American Association of Physicists in Medicine, pp. 3321–3322, 2016.
Fakih, A., and J. Zelek, Systems and methods for generating data indicative of a three-dimensional representation of a scene, 2016.
Greenberg, S., A. G. Chung, B. Chwyl, and A. Wong, "TIGGER: A texture-illumination guided global energy response model for illumination robust object saliency", 2016 13th Conference on Computer and Robot Vision (CRV): IEEE, pp. 296–302, 2016.
Greenberg, S., A. Chung, B. Chwyl, and A. Wong, "TIGGER: A Texture-Illumination Guided Global Energy Response Model for Illumination Robust Object Saliency", Conference on Computer and Robot Vision (CRV), 2016.
Chwyl, B., A. G. Chung, R. Amelard, J. Deglint, D. A. Clausi, and A. Wong, "Time-frequency domain analysis via pulselets for non-contact heart rate estimation from remotely acquired photoplethysmograms", 2016 13th Conference on Computer and Robot Vision (CRV): IEEE, pp. 201–207, 2016.
Chwyl, B., A. Chung, R. Amelard, J. Deglint, D. A. Clausi, and A. Wong, "Time-Frequency Domain Analysis via Pulselets for Non-Contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms", Conference on Computer and Robot Vision (CRV), 2016.
Blanchard, P., A. J. Wong, B. G Gunn, A. S. Garden, A. Mohamed, SR, D. I. Rosenthal, J. Crutison, R. Wu, X. Zhang, R. X Zhu, et al., "Toward a model-based patient selection strategy for proton therapy: external validation of photon-derived normal tissue complication probability models in a head and neck proton therapy cohort", Radiotherapy and Oncology, vol. 121, no. 3: Elsevier, pp. 381–386, 2016.
Blanchard, P., AJ. Wong, GB. Gunn, AS. Garden, ASR. Mohamed, DI. Rosenthal, WH. Morrison, HD. Skinner, J. Phan, BM. Beadle, et al., "Toward a Model-Based Strategy for Patient Selection for Proton Therapy—External Validation of Normal Tissue Complication Probability Models on a Head and Neck Proton Cohort", International Journal of Radiation Oncology• Biology• Physics, vol. 96, no. 2: Elsevier, pp. S223, 2016.
Azzi, C., D. Asmar, A. Fakih, and J. Zelek, "Towards Global Localization Using Global Descriptors", Journal of Computational Vision and Imaging Systems, vol. 2, no. 1, 2016.
Kumar, D., V. Menkovski, G. W. Taylor, and A. Wong, "Understanding Anatomy Classification Through Attentive Response Maps", arXiv preprint arXiv:1611.06284, 2016.
Boroomand, A., E. Li, M. Javad Shafiee, M. A. Haider, F. Khalvati, and A. Wong, "A unified Bayesian-based compensated magnetic resonance imaging", 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): IEEE, pp. 1192–1195, 2016.
Boroomand, A., E. Li, M. J. Shafiee, M. A. Haider, F. Khalvati, and A. Wong, "A Unified Bayesian-Based Compensated Magnetic Resonance Imaging", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.
Parrington, L., E. Phillips, A. Wong, M. Finch, E. Wain, and C. MacMahon, "Validation of inertial measurement units for tracking 100m sprint data", ISBS-Conference Proceedings Archive, 2016.
Brice, S., M. Hurley, E. Phillips, and A. Wong, Validation of inertial sensor use for measurement of thorax-pelvis separation angle in the discus throw: a work in progress: University of Melbourne, 2016.
Xu, L., D. A. Clausi, F. Li, and A. Wong, "Weakly supervised classification of remotely sensed imagery using label constraint and edge penalty", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 3: IEEE, pp. 1424–1436, 2016.
2015
Hart, T., D. Tan, R. Harrigan, C. Kaushic, J. Brophy, C. Tremblay, G. Bauer, S. Mishra, M. Blais, D. Grace, et al., "24th ANNUAL CANADIAN CONFERENCE ON HIV/AIDS RESEARCH 24e CONGRèS ANNUEL CANADIEN DE RECHERCHE SUR LE VIH/SIDA", Can J Infect Dis Med Microbiol, vol. 26, pp. 4B, 2015.
Deglint, J., A. Cameron, C. Scharfenberger, M. Lamm, A. Wong, and D. Clausi, "35.1: Distinguished Paper: Auto-Calibration for Screen Correction and Point Cloud Generation", SID Symposium Digest of Technical Papers, vol. 46, no. 1, pp. 507–510, 2015.
Barshan, E., M. Lamm, C. Scharfenberger, and P. Fieguth, "35.3: Resolution enhancement based on shifted superposition", SID Symposium Digest of Technical Papers, vol. 46, no. 1, pp. 514–517, 2015.
Deglint, J., A. Gawish, K. Zuj, A. Wong, D. Clausi, and R. L. Hughson, "Active Contours for Measuring Arterial Wall Diameter of Astronauts from Ultrasound Images", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Deglint, J., A. Gawish, K. Zuj, A. Wong, D. A. Clausi, and R. Hughson, "Active Countours for Measuring Arterial Wall Diameter of Astronauts from Ultrasound Images", Vision Letters, 2015. PDF icon Active Countours for Measuring Arterial Wall Diameter of Astronauts from Ultrasound Images (174.9 KB)
Shafiee, M. J., S. Haider, A. Wong, D. Lui, A. Cameron, A. Modhafar, P. Fieguth, and M. A. Haider, "Apparent Ultra-High b-value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields", TRANSACTIONS ON MEDICAL IMAGING, vol. 34, 2015.
J, D., A. Cameron, C. Scharfenberger, M. Lamm, A. Wong, and D. A. Clausi, "Auto-Calibration for Screen Correction and Point Cloud Generation", Society for Information Display's Week, 06/2015. PDF icon 201506_auto-calibration_for_screen_correction_and_point_cloud_generation_paper.pdf (1.34 MB)PDF icon 201506_auto-calibration_for_screen_correction_and_point_cloud_generation_slides.pdf (1.93 MB)
Khalvati, F., A. Wong, and M. Haider, "Automated Prostate Cancer Detection via Comprehensive Multi-Parametric Magnetic Resonance Imaging Texture Feature Models", BMC Medical Imaging, 2015.
Khalvati, F., A. Wong, and M. A. Haider, "Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models", BMC medical imaging, vol. 15, no. 1: BioMed Central, pp. 27, 2015.
Vásquez, D., J. Scharcanski, and A. Wong, "Automatic Framework for Extraction and Characterization of Wetting Front Propagation Using Tomographic Image Sequences of Water Infiltrated Soils", PLoS ONE, vol. 10, no. 1: Public Library of Science, pp. 12, 2015.
Song, S., A. Wong, J. Huissoon, and S. L. Waslander, "Autonomous vehicle control near the limit of friction", 2015 IEEE 18th International Conference on Intelligent Transportation Systems: IEEE, pp. 1008–1013, 2015.
Borooman, A., B. Tan, A. Wong, and K. Bizheva, "Axial resolution improvement in spectral domain optical coherence tomography using a depth-adaptive maximum-a-posterior framework", SPIE Photonics West (BiOS), San Francisco, USA, 2015.
Boroomand, A., B. Tan, A. Wong, and K. Bizheva, "Axial resolution improvement in spectral domain optical coherence tomography using a depth-adaptive maximum-a-posterior framework", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX, vol. 9312: International Society for Optics and Photonics, pp. 931241, 2015.
Wang, CF., L. Xu, D. Clausi, and A. Wong, "A Bayesian Joint Decorrelation and Despeckling approach for speckle reduction of SAR Images", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Wang, C., L. Xu, D. A. Clausi, and A. Wong, "A Bayesian Joint Decorrelation and Despeckling approach for speckle reduction of SAR Images", Vision Letters, vol. 1, issue 1, 2015. PDF icon 59-103-1-sm.pdf (161.2 KB)
Wong, A., and X. Wang, "Bayesian Residual Transform for Signal Processing", IEEE Access Journal, 2015.
Wong, A., and X. Yu Wang, "A bayesian residual transform for signal processing", IEEE Access, vol. 3: IEEE, pp. 709–717, 2015.
Wong, A., F. Kazemzadeh, C. Jin, and Z. Wang, "Bayesian-based aberration corection and numerical diffraction for improved lensfree on-chip microscopy of biological specimens", Optics Letters, 2015.
Wong, A., F. Kazemzadeh, C. Jin, and X. Yu Wang, "Bayesian-based aberration correction and numerical diffraction for improved lensfree on-chip microscopy of biological specimens", Optics Letters, vol. 40, no. 10: Optical Society of America, pp. 2233–2236, 2015.
Wong, A., X. Wang, and M. Gorbet, "Bayesian-based deconvolution fluorescence microscopy using dynamically updated nonparametric nonstationary expectation estimates", Nature Scientific Reports, 2015.
Wong, A., X. Yu Wang, and M. Gorbet, "Bayesian-based deconvolution fluorescence microscopy using dynamically updated nonparametric nonstationary expectation estimates", arXiv, pp. 13, 2015.
Jang, S., BD. White, D. Yazici, AS. Wong, and MB. Maple, "Chemical substitution study on magnetism and superconductivity in Ce1-x SmxCoIn 5", APS, vol. 2015, pp. M22–010, 2015.
Li, F., D. A. Clausi, and A. Wong, "Classification of surficial material in the Umiujalik Lake region using RADARSAT-2 polarimetric, LANDSAT-7 images, and DEM data", Canadian Journal of Remote Sensing, pp. 29-39, 2015.
Kleiber, W., "Coherence for Random Fields", arXiv preprint arXiv:1505.01394, 2015.
Greenberg, S., J. Blight, and A. Wong, "Color-based gesture recognition for American Sign Language via Hidden Markov Models", Vision Letters, 2015. PDF icon 49-85-1-sm.pdf (304.18 KB)
, "Colour-based gesture recognition for American Sign Language via Hidden Markov Models", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Li, F., D. A. Clausi, and A. Wong, "Comparative study of classification methods for surficial materials in the Umiujalik Lake region using RADARSAT-2 polarimetric, Landsat-7 imagery and DEM data", Canadian Journal of Remote Sensing, vol. 41, no. 1: Taylor & Francis, pp. 29–39, 2015.
Li, F., D. A. Clausi, and A. Wong, "Comparative study of classification methods for surficial materials in the Umiujalik Lake region using RADARSAT-2 polarimetric, Landsat-7 imagery and DEM Data", Canadian Journal of Remote Sensing, 2015. PDF icon cjrs_surficial_2015.pdf (2.28 MB)
, "Compensated Diffusion Magnetic Resonance Imaging", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Li, E., J. M. Shafiee, A. Boroomand, F. Khalvati, M. Haider, and A. Wong, "Compensated Diffusion Magnetic Resonance Imaging", Vision Letters, 2015. PDF icon 47-81-1-sm.pdf (201.38 KB)
Li, E., M. Javad Shafiee, A. Boroomand, F. Khalvati, M. Haider, and A. Wong, "Compensated Diffusion Magnetic Resonance Imaging", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Yeow, J., I. Ben Daya, ALBERT. I. CHEN, M. Javad Shafiee, A. Wong, and others, Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model: PLOS, 2015.
Ben Daya, I., A. I. H. Chen, M. Javad Shafiee, A. Wong, and J. T. W. Yeow, "Compensated row-column ultrasound imaging system using fisher tippett multilayered conditional random field model", PloS one, vol. 10, no. 12: Public Library of Science San Francisco, CA USA, pp. e0142817, 2015.
Ben Daya, I., A. Chen, J. Yeow, and A. Wong, "Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model", PLoS ONE, 2015.
Kazemzadeh, F., S. Haider, C. Jin, D. A. Clausi, and A. Wong, "Concurrent fluorescence macro-imaging across multiple spectral regions in the visible and the near infrared", Novel Optical Systems Design and Optimization XVIII, vol. 9579: International Society for Optics and Photonics, pp. 957907, 2015.
Boroomand, A., A. Wong, and K. Bizheva, "A Conditional Random Field Weakly Supervised Segmentation Approach for Segmenting keratocytes Cells in Corneal Optical Coherence Tomography Images", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Boroomand, A., K. Bizehva, and A. Wong, "A Conditional Random Field Weakly Supervised Segmentation Approach for Segmenting Keratocytes Cells in Corneal Optical Coherence Tomography Images", Vision Letters, 2015. PDF icon 48-83-1-sm.pdf (182.22 KB)
Wong, A., F. Khalvati, D. Clausi, and Z. Wang, Copyright\copyright 2015 Kitchener Waterloo Vision and Imaging Society, 2015.
Liu, J., A. K Scott, and P. Fieguth, "Curvelet based feature extraction of dynamic ice from SAR imagery", 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): IEEE, pp. 3462–3465, 2015.
Shafiee, M. J., Z. Azimifar, and A. Wong, "A Deep-structured Conditional Random Field Model for Object Silhouette Tracking", PLoS ONE, 2015.
Shafiee, M. Javad, Z. Azimifar, and A. Wong, "A deep-structured conditional random field model for object silhouette tracking", PloS one, vol. 10, no. 8: Public Library of Science, pp. e0133036, 2015.
Wong, A., MOHAMMAD. SHAFIEE, P. Siva, and X. Yu Wang, "A Deep-Structured Fully Connected Random Field Model for Structured Inference", IEEE Access, vol. 3: IEEE, pp. 469–477, 2015.
Wong, A., M. Javad Shafiee, P. Siva, and X. Yu Wang, "A deep-structured fully connected random field model for structured inference", IEEE Access, vol. 3: IEEE, pp. 469–477, 2015.
Wong, A., M. Javad Shafiee, P. Siva, and X. Yu Wang, "A deep-structured fully-connected random field model for structured inference", arXiv, pp. 14, 2015.
Li, F., E. Li, M. J. Shafiee, A. Wong, and J. S. Zelek, "Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model", Computer and Robot Vision, 2015. PDF icon crv2015_depthcrf.pdf (3.63 MB)
Li, F., E. Li, M. Javad Shafiee, A. Wong, and J. Zelek, "Dense depth map reconstruction from sparse measurements using a multilayer conditional random field model", 2015 12th Conference on Computer and Robot Vision: IEEE, pp. 86–93, 2015.
Boroomand, A., B. Tan, M. Javad Shafiee, K. Bizheva, and A. Wong, "Depth Compensated Spectral Domain Optical Coherence Tomography via Digital Compensation", arXiv preprint arXiv:1507.04992, 2015.
, "Depth Compensated Spectral Domain Optical Coherence Tomography via Digital Compensation", arXiv, pp. 17, 2015.
Kazemzadeh, F., A. Wong, B. B. Behr, and A. R. Hajian, "Depth profilometry via multiplexed optical high-coherence interferometry", PloS one, vol. 10, no. 3: Public Library of Science, pp. e0121066, 2015.
Kazemzadeh, F., A. Wong, B. B. Behr, and A. R. Hajian, "Depth Profilometry via Multiplexed Optical High-Coherence Interferometry", PLoS ONE, 03/2015.
Cho, D., D. A. Clausi, and A. Wong, "Dermal Radiomics for Melanoma Screening", Vision Letters, 2015.
, "Dermal Radiomics for Melanoma Screening", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Cho, D., D. Clausi, and A. Wong, "Dermal radiomics for melanoma screening", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Mishra, A., C. Scharfenberger, P. Siva, F. Li, A. Wong, and D. A. Clausi, "DESIRe: Discontinuous Energy Seam Carving for Image Retargeting Via Structural and Textural Energy Functionals", IEEE International Conference on Image Processing (ICIP), 09/2015.
Mishra, A., C. Scharfenberger, P. Siva, F. Li, A. Wong, and D. Clausi, "DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 3685–3689, 2015.
Jeya, V. Logan, and J. Zelek, "Diagnosing Cardiac Deformations using 3d Optical Flow", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
, "Discovery Radiomics for Imaging-driven Quantitative Personalized Cancer Decision Support", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Wong, A., A. G. Chung, D. Kumar, M. Javad Shafiee, F. Khalvati, and M. Haider, "Discovery radiomics for imaging-driven quantitative personalized cancer decision support", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Chung, A. G., M. Javad Shafiee, D. Kumar, F. Khalvati, M. A. Haider, and A. Wong, "Discovery radiomics for multi-parametric MRI prostate cancer detection", arXiv preprint arXiv:1509.00111, 2015.
Shafiee, M. Javad, A. G. Chung, D. Kumar, F. Khalvati, M. Haider, and A. Wong, "Discovery Radiomics via StochasticNet Sequencers for Cancer Detection", arXiv, pp. arXiv–1511, 2015.
Shafiee, M. Javad, A. G. Chung, D. Kumar, F. Khalvati, M. Haider, and A. Wong, "Discovery radiomics via stochasticnet sequencers for cancer detection", arXiv preprint arXiv:1511.03361, 2015.
Shafiee, M. J., D. Kumar, F. Khalvati, M. A. Haider, and A. Wong, "Discovery Radiomics via StochasticNet Sequencers for Cancer Detection", CoRR, 2015.
Ahmadi, E., Z. Azimifar, M. Shams, M. Famouri, and M. Javad Shafiee, "Document image binarization using a discriminative structural classifier", Pattern recognition letters, vol. 63: North-Holland, pp. 36–42, 2015.
M. Shafiee, J., P. Siva, P. Fieguth, and A. Wong, "Domain Adaptation and Transfer Learning in Stochastic Nets", Vision Letters, vol. 1, 2015. PDF icon 44-75-1-sm.pdf (48.69 KB)
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Domain Adaptation and Transfer Learning in StochasticNets", arXiv preprint arXiv:1512.05844, 2015.
Shafiee, M. Javad, P. Siva, P. Fieguth, and A. Wong, "Domain Adaptation and Transfer Learning in StochasticNets", arXiv, pp. arXiv–1512, 2015.
Wong, A., F. Khalvati, and M. A. Haider, "Dual-stage correlated diffusion imaging", 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI): IEEE, pp. 75–78, 2015.
Medeiros, R., A. Wong, and J. Scharcanski, "Efficient and Scalable Image Segmentation Using Bag-of-Features and Stochastic Region Merging", Vision Letters, 2015. PDF icon Efficient and Scalable Image Segmentation Using Bag-of-Features and Stochastic Region Merging (2.93 MB)
, "Efficient and Scalable Image Segmentation Using Bag-of-Features and Stochastic Region Merging", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Li, E., M. Javad Shafiee, A. Chung, F. Khalvati, A. Wong, and M.A. Haider, "Enhanced Reconstruction of Compressive Sensing MRI via Cross-Domain Stochastically Fully-Connected Random Field Model", Annual Meeting of International Society for Magnetic Resonance in Medicine: http://vip.uwaterloo.ca/files/publications/ISMRM_final_withTitle.pdf, 2015.
Gawish, A., and P. Fieguth, "External forces for active contours using the undecimated wavelet transform", IEEE International Conference on Image Processing, 2015.
Gawish, A., and P. Fieguth, "External forces for active contours using the undecimated wavelet transform", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 1453–1457, 2015.
Xu, L., A. Wong, F. Li, and D. A. Clausi, "Extraction of endmembers from hyperspectral images using a weighted fuzzy purified-means clustering model", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2: IEEE, pp. 695–707, 2015.
Xu, L., A. Wong, F. Li, and D. A. Clausi, "Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, issue 2, 2015. PDF icon 07181642.pdf (1.66 MB)
Amelard, R., C. Scharfenberger, F. Kazemzadeh, K. J. Pfisterer, B. S. Lin, D. A. Clausi, and A. Wong, "Feasibility of long-distance heart rate monitoring using transmittance photoplethysmographic imaging (PPGI)", Scientific reports, vol. 5: Nature Publishing Group, pp. 14637, 2015.
Amelard, R., C. Scharfenberger, F. Kazemzadeh, K. J. Pfisterer, B. Lin, D. Clausi, and A. Wong, "Feasibility of long-distance heart rate monitoring using transmittance photoplethysmographicimgaing (PPGI)", Nature Scientific Reports, 2015.
Li, F., L. Xu, A. Wong, and D. A. Clausi, "Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 12, 2015. PDF icon feature_extraction.pdf (470.74 KB)
Li, F., L. Xu, A. Wong, and D. A. Clausi, "Feature extraction for hyperspectral imagery via ensemble localized manifold learning", IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 12: IEEE, pp. 2486–2490, 2015.
Shafiee, M. Javad, A. Wong, and P. Fieguth, "Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields", arXiv preprint arXiv:1506.09110, 2015.
Liu, L., Y. Wei, P. Fieguth, and G. Kuang, "Fusing Sorted Random Projections for Robust Texture and Material Classification", IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, pp. 482-496, 2015. PDF icon 2015_tcsvt_fusing_sorted_random_projections_for_robust_texture_classification_and_material_categorization.pdf (7.03 MB)
Liu, L., Y. Wei, P. Fieguth, and G. Kuang, "Fusing Sorted Random Projections for Robust Texture Classification and Material Categorization", IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, pp. 482 - 496, 2015. PDF icon 2015_tcsvt_fusing_sorted_random_projections_for_robust_texture_classification_and_material_categorization.pdf (7.03 MB)
Li, FY., M. Javad Shafiee, A. G. Chung, B. Chwyl, F. Kazemzadeh, A. Wong, and J. Zelek, "High dynamic range map estimation via fully connected random fields with stochastic cliques", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2159–2163, 2015.
Li, F., M. J. Shafiee, A. Chung, B. Chwyl, F. Kazemzadeh, A. Wong, and J. S. Zelek, "HIGH DYNAMIC RANGE MAP ESTIMATION VIA FULLY CONNECTED RANDOM FIELDS WITH STOCHASTIC CLIQUES", International Conference on Image Processing, 2015. PDF icon 2015_hdr.pdf (4.32 MB)
Wang, L., A. K. Scott, and D. A. Clausi, "High resolution sea ice concentration estimation through the assimilation of classified SAR imagery and AMSR-E sea ice concentration", IEEE Transactions on Geoscience and Remote Sensing , 2015.
Chung, A., X. Yu Wang, R. Amelard, C. Scharfenberger, J. Leong, J. Kulinski, A. Wong, and D. A. Clausi, "High-resolution motion-compensated imaging photoplethysmography for remote heart rate monitoring", Multimodal Biomedical Imaging X, vol. 9316: International Society for Optics and Photonics, pp. 93160A, 2015.
Chung, A., X. Wang, R. Amelard, C. Scharfenberger, J. Leong, A. Wong, and D. A. Clausi, "High-resolution motion-compensated photoplethysmographic imaging for remote heart rate monitoring", SPIE Photonics West, Multimodal Biomedical Imaging X, 02/2015. PDF icon 2014_videoppg.pdf (773.2 KB)
Wong, A., C. Liu, X. Yu Wang, P. Fieguth, and H. Bie, "Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements", BMC medical imaging, vol. 15, no. 1: BioMed Central, pp. 1–11, 2015.
Wong, A., C. Liu, X. Wang, P. Fieguth, and H. Bie, "Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements", BMC Medical Imaging, 2015.
Li, F., L. Xu, P. Siva, A. Wong, and D. A. Clausi, "Hyperspectral Image Classification with Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields", IEEE Journal of Selected Topics in Applied Earth observations and Remote Sensing, vol. 8, issue 6, pp. 2427 - 2438, 2015. PDF icon ensemble_jstars_2015.pdf (2.6 MB)
Li, F., L. Xu, P. Siva, A. Wong, and D. A. Clausi, "Hyperspectral image classification with limited labeled training samples using enhanced ensemble learning and conditional random fields", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6: IEEE, pp. 2427–2438, 2015.
Xu, L., F. Li, A. Wong, and D. A. Clausi, "Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach", IEEE Journal of Selected Topics on Applied Earth Observations and Remote Sensing, vol. 8, issue 6, 03/2015. PDF icon 07063939.pdf (5.04 MB)
Xu, L., F. Li, A. Wong, and D. A. Clausi, "Hyperspectral image denoising using a spatial–spectral monte carlo sampling approach", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6: IEEE, pp. 3025–3038, 2015.
Xu, L., F. Li, A. Wong, and D. A. Clausi, "Hyperspectral Image Denoising Using a Spatial–Spectral Monte Carlo Sampling Approach", IEEE Journal of Selected Topics on Applied Earth Observations and Remote Sensing, vol. 8, issue 6, 2015.
Chwyl, B., A. Wong, and D. A. Clausi, "Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features", International Conference Image Analysis and Recognition: Springer, Cham, pp. 210–217, 2015.
Chwyl, B., A. Wong, and D. A. Clausi, "Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features", International Conference on Image Analysis and Recognition 2015, 2015. PDF icon bchwyl_illumination_face_detect.pdf (4.45 MB)
Amelard, R., C. Scharfenberger, A. Wong, and D. A. Clausi, "Illumination-compensated non-contact imaging photoplethysmography via dual-mode temporally-coded illumination", SPIE Photonics West, Multimodal Biomedical Imaging X, 02/2015.
Amelard, R., C. Scharfenberger, A. Wong, and D. A. Clausi, "Illumination-compensated non-contact imaging photoplethysmography via dual-mode temporally coded illumination", Multimodal Biomedical Imaging X, vol. 9316: International Society for Optics and Photonics, pp. 931607, 2015.
Li, F., A. Wong, and J. Zelek, "Illumination-Guided Stereo Correspondence", Illumination-Guided Stereo Correspondence, 2015. PDF icon Illumination-Guided Stereo Correspondence (489.7 KB)
Li, F., A. Wong, and J. Zelek, "Illumination-Guided Stereo Correspondence", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Zhang, Q., R. Skjetne, I. Metrikin, and S. Løset, "Image processing for ice floe analyses in broken-ice model testing", Cold Regions Science and Technology, vol. 111: Elsevier, pp. 27–38, 2015.
R Medeiros, S., J. Scharcanski, and A. Wong, "Image Segmentation via Stochastic Regional Texture Appearance Models", Computer Vision and Image Understanding, 2015.
Azzi, C., J. Zelek, D. Asmar, and A. Fakih, "Image-based localization using context", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Shafiee, M. Javad, A. G. Chung, A. Wong, and P. Fieguth, "Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 3260–3264, 2015.
Shafiee, M. J., A. Chung, A. Wong, and P. Fieguth, "IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQUE FORMATION IN FULLY CONNECTED CONDITIONAL RANDOM FIELDS", IEEE Conference on Image Processing, 2015. PDF icon 388-pgav-121.pdf (851.05 KB)
Deglint, J., F. Kazemzadeh, A. Wong, and D. A. Clausi, "Inference of dense spectral reflectance images from sparse reflectance measurement using non-linear regression modeling", Applications of Digital Image Processing XXXVIII, vol. 9599: International Society for Optics and Photonics, pp. 95992G, 2015.
Deglint, J., F. Kazemzadeh, A. Wong, and D. A. Clausi, "Inference of dense spectral reflectance images from sparse reflectance measurement using non-linear regression modeling", SPIE Optics and Photonics, 08/2015.
Haider, S. A., F. Kazemzadeh, D. A. Clausi, and A. Wong, "Integrated computational imaging system for enhanced polarimetric measurements", Polarization Science and Remote Sensing VII, vol. 9613: International Society for Optics and Photonics, pp. 961309, 2015.
Haider, S., F. Kazemzadeh, D. Clausi, and A. Wong, "An Integrated Systems Design Framework for Computational Polarimetry", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Haider, S., F. Kazemzadeh, D. A. Clausi, and A. Wong, "An Integrated Systems Design Framework for Computational Polarimetry", Vision Letters, 2015. PDF icon 52-89-1-sm.pdf (1.25 MB)
, "An Integrated Systems Design Framework for Computational Polarimetry", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Xu, L., A. Wong, F. Li, and D. A. Clausi, "Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction", IEEE Transactions on Geosciences and Remote Sensing, vol. 54, issue 2, pp. 1118 - 1130, 2015. PDF icon PDF (1.19 MB)
Xu, L., A. Wong, F. Li, and D. A. Clausi, "Intrinsic representation of hyperspectral imagery for unsupervised feature extraction", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 2: IEEE, pp. 1118–1130, 2015.
Boroomand, A., M. J. Shafiee, A. Wong, and K. Bizheva, "Lateral resolution enhancement via imbricated spectral domain optical coherence tomography in a maximum-a-posterior reconstruction framework", SPIE Photonics West (BiOS), San Francisco, USA, 2015.
Boroomand, A., MJ. Shafiee, A. Wong, and K. Bizheva, "Lateral resolution enhancement via imbricated spectral domain optical coherence tomography in a maximum-a-posterior reconstruction framework", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIX, vol. 9312: International Society for Optics and Photonics, pp. 931240, 2015.
Kazemzadeh, F., and A. Wong, "Lens-free Multi-Laser Spectral Light-Field Fusion Microscopy", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Kazemzadeh, F., and A. Wong, "Lens-free Multi-Laser Spectral Light-Field Fusion Microsocpy", Vision Letters, 2015. PDF icon paper01.pdf (1.48 MB)
Kazemzadeh, F., C. Jin, S. Molladavoodi, M. Emelko, M. Gorbet, and A. Wong, "Lensfree Spectral Light-field Fusion Microscopy for Contrast- and Resolution-enhanced Imaging of Biological Specimens", Optics Letters, 2015.
Kazemzadeh, F., C. Jin, S. Molladavoodi, Y. Mei, M. B. Emelko, M. B. Gorbet, and A. Wong, "Lens-free spectral light-field fusion microscopy for contrast-and resolution-enhanced imaging of biological specimens", Optics Letters, vol. 40, no. 16: Optical Society of America, pp. 3862–3865, 2015.
Ricard, F., A. Wong, B. Lebouche, and others, "Low darunavir concentrations in patients receiving Stribild (elvitegravir/cobicistat/emtricitabine/tenofovir disoproxil fumarate) and darunavir once daily", Poster presented at: 16th International Workshop on Clinical Pharmacology of HIV and Hepatitis Therapy, 2015.
Kumar, D., A. Wong, and D. A. Clausi, "Lung Nodule Classification Using Deep Features in CT Images", 12th Conference on Computer and Robot Vision (CRV), Halifax, NS, Canada, IEEE Xplore, 2015. PDF icon 2015_crv_lung.pdf (365.58 KB)
Kumar, D., A. Wong, and D. A. Clausi, "Lung nodule classification using deep features in CT images", 2015 12th Conference on Computer and Robot Vision: IEEE, pp. 133–138, 2015.
Cameron, A., F. Khalvati, M. A. Haider, and A. Wong, "MAPS: a quantitative radiomics approach for prostate cancer detection", IEEE Transactions on Biomedical Engineering, vol. 63, no. 6: IEEE, pp. 1145–1156, 2015.
Cameron, A., F. Khalvati, A. Wong, and M. Haider, "MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection", IEEE Transactions on Biomedical Engineering, 2015.
Liu, L., P. Fieguth, M. Pietikäinen, and S. Lao, "Median Robust Extended Local Binary Pattern for Texture Classification", IEEE International Conference on Image Processing, 2015.
Lui, D., A. Modhafar, M. A. Haider, and A. Wong, "Monte Carlo-based noise compensation in coil intensity corrected endorectal MRI", BMC medical imaging, vol. 15, no. 1: BioMed Central, pp. 43, 2015.
Lui, D., A. Modhafar, A. Wong, and M. Haider, "Monte Carlo-based Noise Compensation in Coil Intensity Corrected Endorectal MRI", BMC Medical Imaging, 2015.
Barshan, E., P. Fieguth, and A. Wong, "Multi-Neighborhood Convolutional Networks", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Haider, SA., C. Scharfenberger, F. Kazemzadeh, A. Wong, and DA. Clausi, "Multi-polarimetric textural distinctiveness for outdoor robotic saliency detection", Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, vol. 9406: International Society for Optics and Photonics, pp. 94060A, 2015.
Haider, S., C. Scharfenberger, F. Kazemzadeh, A. Wong, and D. A. Clausi, "Multi-polarimetric textural distinctiveness for outdoor robotic saliency detection", SPIE Electronic Imaging: Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, San Francisco, California, United States, 2015.
Kazemzadeh, F., C. Jin, M. Yu, R. Amelard, S. Haider, S. Saini, M. Emelko, D. A. Clausi, and A. Wong, "Multispectral digital holographic microscopy with applications in water quality assessment", Novel Optical Systems Design and Optimization XVIII, vol. 9579: International Society for Optics and Photonics, pp. 957906, 2015.
, "Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model", arXiv, pp. arXiv–1512, 2015.
Amelard, R., C. Scharfenberger, A. Wong, and D. A. Clausi, "Non-contact assessment of melanin distribution via multispectral temporal illumination coding", SPIE Photonics West, Multimodal Biomedical Imaging X, 02/2015.
Amelard, R., C. Scharfenberger, A. Wong, and D. A. Clausi, "Non-contact assessment of melanin distribution via multispectral temporal illumination coding", Multimodal Biomedical Imaging X, vol. 9316: International Society for Optics and Photonics, pp. 93160N, 2015.
Amelard, R., K. Pfisterer, D. A. Clausi, and A. Wong, "Non-contact hematoma damage and healing assessment using reflectance photoplethysmographic imaging", SPIE Photonics West, 2015. PDF icon spie2016_hematoma.pdf (358.23 KB)
Amelard, R., C. Scharfenberger, F. Kazemzadeh, K. J. Pfisterer, B. S. Lin, A. Wong, and D. A. Clausi, "Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring", Nature Scientific Reports, vol. 5, 2015. Package icon video_1.zip (2.35 MB)Package icon video_2.zip (2.43 MB)
Amelard, R., C. Scharfenberger, F. Kazemzadeh, K. J. Pfisterer, B. S. Lin, A. Wong, and D. A. Clausi, "Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring", arXiv preprint arXiv:1503.06775, 2015.
, "Numerical Spectral Demulitplexing Microscopy of Measurements from an Anatomical Specimen", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Deglint, J., F. Kazemzadeh, A. Wong, and D. Clausi, "Numerical spectral demulitplexing microscopy of measurements from an anatomical specimen", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Deglint, J., F. Kazemzadeh, A. Wong, and D. A. Clausi, "Numerical Spectral Demultiplexing Microscopy of Measurements from an Anatomical Specimen", Vision Letters, 2015. PDF icon Numerical Spectral Demultiplexing Microscopy of Measurements from an Anatomical Specimen (3.05 MB)
Xu, L., J. M Shafiee, A. Wong, F. Li, L. Wang, and D. A. Clausi, "Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 79–86, 2015.
Xu, L., J. M Shafiee, A. Wong, F. Li, L. Wang, and D. Clausi, "Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 79–86, 2015.
Xu, L., M. J. Shafiee, A. Wong, F. Li, L. Wang, and D. A. Clausi, "Oil Spill Candidate Detection from SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Model", CVPR 2015 Earthvision Workshop, 2015. PDF icon tgsfcrf_oil_v_1.0.pdf (2.53 MB)
Kasinathan, D., A. Kasaiezadeh, A. Wong, A. Khajepour, S-K. Chen, and B. Litkouhi, "An optimal torque vectoring control for vehicle applications via real-time constraints", IEEE Transactions on Vehicular Technology, vol. 65, no. 6: IEEE, pp. 4368–4378, 2015.
Schwartz, S., A. Wong, and D. A. Clausi, "Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance", Journal of Visual Communication and Image Representation, vol. 31, pp. 26-40, 10/2015.
Schwartz, S., A. Wong, and D. A. Clausi, "Optimized sampling distribution based on nonparametric learning for improved compressive sensing performance", Journal of Visual Communication and Image Representation, vol. 31: Academic Press, pp. 26–40, 2015.
Siva, P., M. Javad Shafiee, F. Li, and A. Wong, "Pirm: fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 789–792, 2015.
Amelard, R., J. Leung, D. Clausi, and A. Wong, "A portable plug-and-play imaging system for physiological monitoring", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Amelard, R., J. Elung, D. A. Clausi, and A. Wong, "A Portable Plug-and-Play Imaging System for Physiological Monitoring", Vision Letters, 2015. PDF icon cvis_abstract.pdf (321.51 KB)
Mwangi, G., C. Garbe, and P. Fieguth, "Probabilistic Continuous Edge Detection using Local Symmetry", IEEE International Conference on Image Processing, 2015. PDF icon gerald-edge.pdf (366.75 KB)
Mwangi, G., P. Fieguth, and C. S. Garbe, "Probabilistic continuous edge detection using local symmetry", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2199–2203, 2015.
Adel, T., and A. Wong, "A probabilistic covariate shift assumption for domain adaptation", Proceedings of the AAAI Conference on Artificial Intelligence, vol. 29, no. 1, 2015.
Chung, A., F. Khalvati, M. J. Shafiee, M. Haider, and A. Wong, "Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework", IEEE Access Journal, 2015.
Chung, A., F. Khalvati, M. J. Shafiee, M. A. Haider, and A. Wong, "Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework", IEEE Access, vol. 3, 2015.
Chung, A. G., F. Khalvati, M. Javad Shafiee, M. A. Haider, and A. Wong, "Prostate cancer detection via a quantitative radiomics-driven conditional random field framework", IEEE Access, vol. 3: IEEE, pp. 2531–2541, 2015.
Cho, D. S., F. Khalvati, A. Wong, and MA. Haider, "Prostate DWI co-registration via maximization of hybrid statistical likelihood and cross-correlation for improved ADC and computed ultra-high b-value DWI calculation", Proceedings of International Society for Magnetic Resonance in Medicine (ISMRM). Toronto, ON, Canada, pp. 3748, 2015.
Li, F., L. Xu, A. Wong, and D. A. Clausi, "QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images", IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 7: IEEE, pp. 1566–1570, 2015.
Li, F., L. Xu, A. Wong, and D. A. Clausi, "QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 7, 2015. PDF icon grsl_qmctls_2015.pdf (2.07 MB)
Noguchi, M., A. Wong, I. Ben Daya, T. L. Campbell, J. Quadrilatero, and J. P. Callaghan, "Quantifying microstructural damage accumulation in the annulus fibrosus during induced intervertebral disc herniation", American Society of Biomechanics, 2015.
Cho, D. S., S. Haider, R. Amelard, A. Wong, and D. A. Clausi, "Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations", 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI): IEEE, pp. 59–62, 2015.
Chwyl, B., A. Chung, A. Wong, and D. A. Clausi, "Remote Heart Rate Measurement through Broadband Video via Stochastic Bayesian Estimation", Vision Letters, 2015. PDF icon 43-73-1-sm.pdf (591.66 KB)
, "Remote Heart Rate Measurement through Broadband Video via Stochastic Bayesian Estimation", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Chwyl, B., A. G. Chung, J. Deglint, A. Wong, and D. Clausi, "Remote heart rate measurement through broadband video via stochastic bayesian estimation", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Barshan, E., C. Scharfenberger, M. Lamm, and P. Fieguth, "Resolution Enhancement Based on Shifted Superposition", Society for Information Display's Week 2015, 06/2015.
Glaister, J., S. Haider, A. Wong, and D. A. Clausi, "Restoration of block-transform compressed images via homotopic regularized sparse reconstruction", SPIE Electronic Imaging: Visual Information Processing and Communication VI, San Francisco, California, United States, 2015. PDF icon article.pdf (1.31 MB)
Glaister, J., S. A. Haider, A. Wong, and D. A. Clausi, "Restoration of block-transform compressed images via homotopic regularized sparse reconstruction", Visual Information Processing and Communication VI, vol. 9410: International Society for Optics and Photonics, pp. 941005, 2015.
Siva, P., C. Scharfenberger, I. B. Daya, A. Mishra, and A. Wong, "Return Of Grid Seams: A Superpixel Algorithm Using Discontinuous Multi-Functional Energy Seam Carving", IEEE International Conference on Image Processing, 09/2015.
Siva, P., C. Scharfenberger, I. Ben Daya, A. Mishra, and A. Wong, "Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 1334–1338, 2015.
Koch, C., K. Georgieva, V. Kasireddy, B. Akinci, and P. Fieguth, "A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure", Advanced Engineering Informatics, vol. 29, no. 2: Elsevier, pp. 196–210, 2015.
Koch, C., K. Georgieva, V. Kasireddy, B. Akinci, and P. Fieguth, "A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure", Advanced Engineering Informatics, vol. 29, pp. 196 - 210, 2015.
Scharfenberger, C., A. G. Chung, A. Wong, and D. A. Clausi, "Salient region detection using self-guided statistical non-redundancy in natural images", IEEE Access, vol. 4: IEEE, pp. 48–60, 2015.
Barshan, E., P. Fieguth, and A. Wong, "Scalable multi-neighborhood learning for convolutional networks", 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015.
Barshan, E., P. Fieguth, and A. Wong, "Scalable multi-neighborhood learning for convolutional networks", 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP): IEEE, pp. 1–6, 2015.
Wang, L., A. Wong, D. A. Clausi, A. K. Scott, L. Xu, M. J. Shafiee, and F. Li, "Sea ice concentration estimation from satellite SAR imagery using convolutional neural network and stochastic fully connected conditional random field", CVPR 2015 Earthvision Workshop, 2015. PDF icon cnn_sfcrf_ic.pdf (5.64 MB)
Scharfenberger, C., D. Lui, F. Khalvati, A. Wong, and M. A. Haider, "Semi-Automatic Prostate Segmentation via a Hidden Markov Model with Anatomical and Textural Priors", 23rd Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), 06/2015. PDF icon ismrm2015_semiautoseg_0.pdf (265.69 KB)
Li, F., D. A. Clausi, L. Wang, and L. Xu, "A semi-supervised approach for ice-water classification using dual-polarization SAR satellite imagery", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 28–35, 2015.
Li, F., D. A. Clausi, L. Wang, and L. Xu, "A Semi-supervised Approach for Ice-water Classification Using Dual-Polarization SAR Satellite Imagery", CVPR 2015 Earthvision Workshop, 2015. PDF icon cvprw_semi_2015.pdf (9.55 MB)
Li, F., D. A. Clausi, L. Wang, and L. Xu, "A Semi-supervised Approach for Ice-water Classification Using Dual-Polarization SAR Satellite Imagery", CVPR 2015 Earthvision Workshop, 2015. PDF icon cvprw_semi_2015.pdf (9.55 MB)File rtf.rtf (550 bytes)
Zhu, M. X., C. Scharfenberger, A. Wong, and D. A. Clausi, "Simultaneous Scene Reconstruction and Auto-calibration using Constrained Iterative Closest Point for 3D Depth Sensor Array", IEEE Conference on Computer and Robot Vision, 06/2015. PDF icon bare_conf.pdf (1.19 MB)
Zhu, M. Xi, C. Scharfenberger, A. Wong, and D. A. Clausi, "Simultaneous scene reconstruction and auto-calibration using constrained iterative closest point for 3D depth sensor array", 2015 12th Conference on Computer and Robot Vision: IEEE, pp. 39–45, 2015.
Haider, S. A., MJ. Shafiee, A. Chung, F. Khalvati, A. Oikonomou, A. Wong, and M. A. Haider, "Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields", 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI): IEEE, pp. 1139–1142, 2015.
Lakshminarayanan, V., J. Zelek, and A. McBride, "" Smartphone Science" in Eye Care and Medicine", Optics and Photonics News, vol. 26, no. 1: Optical Society of America, pp. 44–51, 2015.
Li, E., M. Javad Shafiee, F. Kazemzadeh, and A. Wong, "Sparse reconstruction of compressed sensing multispectral data using a cross-spectral multilayered conditional random field model", Applications of Digital Image Processing XXXVIII, vol. 9599: International Society for Optics and Photonics, pp. 959902, 2015.
Li, E., M. J. Shafiee, F. Kazemzadeh, and A. Wong, "Sparse Reconstruction of Compressed Sensing Multi-spectral Data using Cross-Spectral Multi-layered Conditional Random Field Model", SPIE optics and photonics 2015, San Diego, 2015.
Li, E., F. Khalvati, M. Javad Shafiee, M.A. Haider, and A. Wong, "Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields", arXiv: http://arxiv.org/abs/1512.07947, pp. 9, 2015.
Amelard, R., D. A. Clausi, and A. Wong, "Spectral photoplethysmographic imaging sensor fusion for enhanced heart rate detection", SPIE photonics West, 2015. PDF icon spie2016_entropy.pdf (1.59 MB)
Chwyl, B., A. G. Chung, A. Wong, and D. A. Clausi, "Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation", International Conference Image Analysis and Recognition: Springer, Cham, pp. 385–393, 2015.
Chwyl, B., A. Chung, A. Wong, and D. A. Clausi, "Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation", International Conference on Image Analysis and Recognition 2015, 2015. PDF icon bchwyl_endospecular.pdf (6.89 MB)
Barshan, E., and P. Fieguth, "Stage-wise training: An improved feature learning strategy for deep models", Feature Extraction: Modern Questions and Challenges, pp. 49–59, 2015.
Barshan, E., and P. Fieguth, "Stage-wise training: an improved feature learning strategy for deep models", Journal of Machine Learning Research, 2015.
Chung, A., C. Scharfenberger, F. Khalvati, A. Wong, and M. A. Haider, "Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection", International Conference on Image Analysis and Recognition (ICIAR), 07/2015. PDF icon 2015_cmtd.pdf (604.81 KB)
Chung, A. G., C. Scharfenberger, F. Khalvati, A. Wong, and M. A. Haider, "Statistical textural distinctiveness in multi-parametric prostate MRI for suspicious region detection", International Conference Image Analysis and Recognition: Springer, Cham, pp. 368–376, 2015.
Vásquez, D., J. Scharcanski, and A. Wong, "Stochastic color image segmentation using spatial constraints", 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings: IEEE, pp. 35–40, 2015.
, "Stochastic Receptive Fields in Deep Convolutional Networks", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Chung, A. G., M. Javad Shafiee, and A. Wong, "Stochastic Receptive Fields in Deep Convolutional Networks", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Chung, A., M. J. Shafiee, and A. Wong, "Stochastic Receptive Fields in Deep Convolutional Networks", Vision Letters, 2015. PDF icon 42-71-1-sm.pdf (76.9 KB)
Shafiee, M. Javad, P. Siva, and A. Wong, "StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity", arXiv, pp. arXiv–1508, 2015.
, "StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity", arXiv, pp. 8, 2015.
Kasiri, K., D. A. Clausi, and P. Fieguth, "Structural Representation: Reducing Multi-modal Image Registration to Mono-Modal Problem", Vision Letters, vol. 120, 2015. PDF icon Document (142.5 KB)
Kasiri, K., D. Clausi, and P. Fieguth, "Structural Representation: Reducing Multi-Modal Image Registration to Mono-Modal Problem", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Kasiri, K., P. Fieguth, and D. A. Clausi, "Structural representations for multi-modal image registration based on modified entropy", International Conference Image Analysis and Recognition: Springer, Cham, pp. 82–89, 2015.
Kasiri, K., P. Fieguth, and D. A. Clausi, "Structural Representations for Multi-modal Image Registration Based on Modified Entropy", International Conference on Image Analysis and Recognition (ICIAR), 2015.
Scharfenberger, C., A. Wong, and D. A. Clausi, "Structure-guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images", IEEE Transactions on Image Processing, vol. 24, pp. 457-470, 01/2015.
, "Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging", Vision Letters, vol. 1, no. 1: http://visionletters.weebly.com/volume-1-2015.html, 2015.
Zhang, J., F. Khalvati, A. Wong, and M. Haider, "Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging", Vision Letters, 2015. PDF icon 63-111-1-sm.pdf (145.55 KB)
Kazemzadeh, F., and A. Wong, A System, Method and Apparatus for Ultra-resolved Ultra-wide Field-of-view Multispectral and Hyperspectral Holographic Microscopy, vol. 62155416, USA, 2015.
Mwangi, G., C. Garbe, and P. Fieguth, "Thermography Spatial Resolution Enhancement By Non-Rigid Registration with Visible Imagery", IEEE International Conference on Image Processing, 2015. PDF icon gerald_-_thermo.pdf (919.12 KB)
Mwangi, G., P. Fieguth, and C. S. Garbe, "Thermography spatial resolution enhancement by non-rigid registration with visible imagery", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2542–2546, 2015.
Chwyl, B., A. Chung, F. Li, A. Wong, and D. A. Clausi, "TIGER: A Texture-Illumination Guided Energy Response Model for Illumination Robust Local Saliency", IEEE International Conference on Image Processing, 2015. PDF icon bchwyl_2015_illumination_keypoint.pdf (2.09 MB)
Chwyl, B., A. G. Chung, FY. Li, A. Wong, and D. A. Clausi, "Tiger: A texture-illumination guided energy response model for illumination robust local saliency", 2015 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 1970–1974, 2015.
Chacra, D. Abou, and J. Zelek, "Using superpixels for road segmentation in street view images", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Deglint, J., F. Kazemzadeh, M. Javad Shafiee, E. Li, I. Khodadad, S. S. Saini, A. Wong, and D. A. Clausi, "Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena", Applications of Digital Image Processing XXXVIII, vol. 9599: International Society for Optics and Photonics, pp. 95992D, 2015.
Deglint, J., F. Kazemzadeh, M. J. Shafiee, E. Li, I. Khodadad, S. S. Saini, A. Wong, and D. A. Clausi, "Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena", SPIE Optics and Photonics, 08/2015.
Wong, A., and P. Siva, "Vision Letters Vol. 1, 2015", Vision Letters, vol. 1, no. 1: KWVIS Society, pp. 1–29, 2015.
Adel, T., A. Wong, and D. Stashuk, "A weakly supervised learning approach based on spectral graph-theoretic grouping", arXiv preprint arXiv:1508.00507, 2015.
Radu, M., M. Alexandru Dabacan, C. S. Cole, J. Harris, M. Bot-Ignat, and A. Wong, "Worldwide Digital Design Contest: A Decade of Development and Success Developing Students Hardware and Software Skills", The ASEE Computers in Education (CoED) Journal, vol. 6, no. 4, pp. 54, 2015.
2014
Carter, K., S. Marschall, A. Gawish, P. Fieguth, L. Sobara, and K. Bizheva, "Accuracy evaluation of scleral lens thickness and radius of curvature using high-resolution SD- and SS-OCT", SPIE Photonics West, 2014.
Shafiee, M. Javad, S. A. Haider, A. Wong, D. Lui, A. Cameron, A. Modhafar, P. Fieguth, and M. A. Haider, "Apparent Ultra-High $ b $-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields", IEEE transactions on medical imaging, vol. 34, no. 5: IEEE, pp. 1111–1124, 2014.
Fakih, A., D. Asmar, and J. Zelek, "Augmenting analytic SFM filters with frame-to-frame features", Computer Vision and Image Understanding, vol. 129: Academic Press, pp. 1–14, 2014.
Leigh, S., Z. Wang, and D. A. Clausi, "Automated ice-water classification using dual polarization SAR satellite imagery", IEEE Transactions on Geoscience and Remote Sensing, 2014. PDF icon manuscript_two_column.pdf (7.81 MB)
Wang, L., A. K. Scott, and D. A. Clausi, "AUTOMATIC FEATURE LEARNING OF SAR IMAGES FOR SEA ICE CONCENTRATION ESTIMATION USING FEED-FORWARD NEURAL NETWORKS", IGARSS, Quebec City, 2014. PDF icon wang.pdf (3.88 MB)PDF icon poster.pdf (8.12 MB)
Wang, L., K. Scott, and D. Clausi, "Automatic feature learning of SAR images for sea ice concentration estimation using feed-forward neural networks", 2014 IEEE Geoscience and Remote Sensing Symposium: IEEE, pp. 3969–3971, 2014.
Glaister, J., A. Wong, and D. A. Clausi, "Automatic segmentation of skin lesions from dermatological photographs using a joint probabilistic texture distinctiveness approach", IEEE Transactions on Biomedical Engineering, 2014.
Liu, C., A. Wong, A. A.Moayed, P. Fieguth, H. Bie, and K. Bizheva, "Automatic tracking of pupillary dynamics from in-vivo functional optical coherence tomography images", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2014.
Xu, L., and J. Li, "Bayesian classification of hyperspectral imagery based on probabilistic sparse representation and Markov random field", IEEE Geoscience and Remote Sensing Letters, vol. 11, issue 4, pp. 823 - 827, 2014. PDF icon 2014-xu-grsl_0.pdf (610.65 KB)
Liu, L., Y. Long, P. Fieguth, S. Lao, and G. Zhao, "BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification", IEEE Transactions on Image Processing, vol. 23, 2014. PDF icon tipacceptedsubmitdouble.pdf (2.13 MB)
Liu, L., Y. Long, P. W. Fieguth, S. Lao, and G. Zhao, "BRINT: binary rotation invariant and noise tolerant texture classification", IEEE transactions on Image Processing, vol. 23, no. 7: IEEE, pp. 3071–3084, 2014.
Li, F., A. Wong, and D. A. Clausi, "Combining rotation forests and adaboost for hyperspectral imagery classification using few labeled samples", 2014 IEEE Geoscience and Remote Sensing Symposium: IEEE, pp. 4660–4663, 2014.
Li, F., A. Wong, and D. A. Clausi, "Combining rotation forests and AdaBoost for hyperspectral imagery classification using few labeled samples", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014.
Xu, L., J. Li, and A. Brenning, "A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery", Remote Sensing of Environment, vol. 141, pp. 14 - 23, 2014. PDF icon 2014-xu-li-brenning-rse.pdf (1.69 MB)
Li, F., A. Wong, and D. A. Clausi, "Comparative study of feature space projection methods for hyperspectral image classification", 2014 IEEE Geoscience and Remote Sensing Symposium: IEEE, pp. 3438–3441, 2014.
Li, F., A. Wong, and D. A. Clausi, "Comparative Study of Feature Space Projection Methods for Hyperspectral Image Classification", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014. PDF icon feature_projection_presentation.pdf (1.08 MB)
Haines, L., K. Carter, S. Marschall, A. Gawish, A. Wong, P. Fieguth, L. Sorbara, and K. K. Bizheva, "Comparison of Corneal Thickness Measured with Swept Source Anterior Segment Optical Coherence Tomographer, Pentacam and Ultrasound", Investigative Ophthalmology & Visual Science, vol. 55, no. 13: The Association for Research in Vision and Ophthalmology, pp. 2464–2464, 2014.
Haines, L., K. Carter, S. Marschall, A. Gawish, A. Wong, P. Fieguth, L. Sobara, and K. K. Bizheva, "Comparison of Corneal Thickness Measured with Swept Source Anterior Segment Optical Coherence Tomographer, Pentacam and Ultrasound", ARVO Orlando, Fla., May 4 – 8, 2014.
Li, F., A. Wong, and D. A. Clausi, "Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014. PDF icon igarss_poster-fan.pdf (841.47 KB)
Li, F., A. Wong, and D. A. Clausi, "Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data", 2014 IEEE Geoscience and Remote Sensing Symposium: IEEE, pp. 2727–2730, 2014.
Kazemzadeh, F., S. Haider, A. Wong, C. Scharfenberger, and C. D. A, "Concurrent Multiview Discrete Spectral Imaging Device from the VIS to the NIR", SPIE: Optics + Photonics, San Diego, USA, SPIE Proceedings, 2014.
Davoudi, B., K. Bizheva, A. Wong, R. Dinniwell, W. Levin, and A. Vitkin, "Correlating optical coherence tomography images with dose distribution in late oral radiation toxicity patients", Photonics & Lasers in Medicine, vol. 3, no. 4: De Gruyter, pp. 311–321, 2014.
Kasiri, K., P. Fieguth, and D. A. Clausi, "Cross modality label fusion in multi-atlas segmentation", 2014 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 16–20, 2014.
Wong, A., M. Javad Shafiee, P. Siva, and X. Yu Wang, "A deep-structured fully-connected random field model for structured inference", arXiv, 2014.
Glaister, J., A. Wong, and D. A. Clausi, "Despeckling of Synthetic Aperture Radar Images using Monte Carlo Texture Likelihood Sampling", IEEE Transactions on Geoscience and Remote Sensing, 2014. PDF icon mctls_revision.pdf (8.68 MB)
Ahmadi, E., Z. Azimifar, P. Fieguth, and S. Ayatollahi, "Discriminative graphical model for porous media image synthesis", Iranian Journal of Science and Technology. Transactions of Electrical Engineering, vol. 38, no. E2: Springer Science & Business Media, pp. 177, 2014.
Shafiee, M. J., A. Wong, P. Siva, and P. Fieguth, "EFFICIENT BAYESIAN INFERENCE USING FULLY CONNECTED CONDITIONAL RANDOM FIELDS WITH STOCHASTIC CLIQUES", International Conference on Image Processing, IEEE, 2014. PDF icon icip_v11.pdf (875.56 KB)PDF icon icip2014.pdf (786.4 KB)
Shafiee, MJ., A. Wong, P. Siva, and P. Fieguth, "Efficient bayesian inference using fully connected conditional random fields with stochastic cliques", 2014 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 4289–4293, 2014.
Haider, S., D. Cho, R. Amelard, A. Wong, and D. A. Clausi, "Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs", 36th Annual International IEEE Engineering in Medicine and Biology Society Conference, Sheraton Chicago Hotel and Towers Chicago, IL, USA, 09/2014. PDF icon embc_hybridclass_rev5.pdf (357.32 KB)PDF icon embc_oral.pdf (438.07 KB)
Haider, S., D. Cho, R. Amelard, A. Wong, and D. A. Clausi, "Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 6455–6458, 2014.
Lui, D., C. Scharfenberger, K. Fergani, A. Wong, and D. A. Clausi, "Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals", IEEE Transactions on Image Processing, vol. 23, pp. 855-869, 02/2014.
Wong, A., A. Khajepour, S-K. Chen, and B. Litkouhi, "Enhanced electric vehicle efficiency via wheel torque redistribution", 17th International IEEE Conference on Intelligent Transportation Systems (ITSC): IEEE, pp. 2793–2798, 2014.
Li, E., M. J. Shafiee, A. Chung, F. Khalvati, A. Wong, and M. A. Haider, "Enhanced Reconstruction of Compressive Sensing MRI via Cross-Domain Stochastically Fully-Connected Random Field Model", International Society for Magnetic Resonance in Medicine, 2014. PDF icon ismrm_final_withtitle.pdf (397.13 KB)PDF icon ismrm_3405_eli.pdf (676.29 KB)
Leigh, S., Z. Wang, and D. A. Clausi, "Evaluation of MAGIC Sea Ice Classifier on 61 Dual Polarization RADARSAT-2 Scenes", IEEE Geoscience and Remote Sensing Symposium, Quebec City, Quebec, Canada, IEEE Geoscience and Remote Sensing Symposium, 2014. PDF icon sleigh_igarss_2014.pdf (3 MB)
Liu, L., P. Fieguth, G. Zhao, and M. Pietikäinen, "Extended Local Binary Pattern Fusion for Face Recognition", International Conference on Image Processing, 2014. PDF icon icip2014_presentation_final.pdf (992.14 KB)
Liu, L., P. Fieguth, G. Zhao, and M. Pietikäinen, "Extended local binary pattern fusion for face recognition", 2014 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 718–722, 2014.
Wong, A., K. Keats, K. Rooney, C. Hicks, D. J. Allsop, J. C. Arnold, and I. S. McGregor, "Fasting and exercise increase plasma cannabinoid levels in THC pre-treated rats: an examination of behavioural consequences", Psychopharmacology, vol. 231, no. 20: Springer Berlin Heidelberg, pp. 3987–3996, 2014.
Liu, L., P. W. Fieguth, D. Hu, Y. Wei, and G. Kuang, "Fusing sorted random projections for robust texture and material classification", IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 3: IEEE, pp. 482–496, 2014.
Siva, P., and A. Wong, "Grid Seams: A fast superpixel algorithm for real-time applications", Conference on Computer and Robot Vision, 2014.
Siva, P., and A. Wong, "Grid seams: A fast superpixel algorithm for real-time applications", 2014 Canadian Conference on Computer and Robot Vision: IEEE, pp. 127–134, 2014.
Amelard, R., J. Glaister, A. Wong, and D. A. Clausi, "High-level intuitive features (HLIFs) for intuitive skin lesion description", IEEE Transactions on Biomedical Engineering, vol. 62, no. 3: IEEE, pp. 820–831, 2014.
Amelard, R., J. Glaister, A. Wong, and D. A. Clausi, "High-level intuitive features (HLIFs) for intuitive skin lesion description", IEEE Transactions on Biomedical Engineering, vol. 62, issue 3, pp. 820-831, 2014. PDF icon amelard_tbme2014.pdf (2.56 MB)
Fergani, K., D. Lui, C. Scharfenberger, A. Wong, and D. A. Clausi, "Hybrid Structural and Texture Distinctiveness Vector Field Convolution for Region Segmentation", Computer Vision And Image Understanding (CVIU), vol. 125, pp. 85 -96, 2014.
Fergani, K., D. Lui, C. Scharfenberger, A. Wong, and D. A. Clausi, "Hybrid structural and texture distinctiveness vector field convolution for region segmentation", Computer Vision and Image Understanding, vol. 125: Academic Press, pp. 85–96, 2014.
Fergani, K., D. Lui, C. Scharfenberger, A. Wong, and D. A. Clausi, "Hybrid Structural and Texture Distinctiveness Vector Field Convolution for Region Segmentation", Computer Vision And Image Understanding (CVIU), vol. 125, pp. 85 - 96, 2014.
Wang, L., A. K. Scott, L. Xu, and D. A. Clausi, "Ice concentration estimation from dual-polarized SAR images using deep convolutional neural networks", IEEE Transactions on Geoscience and Remote Sensing , 2014. PDF icon 2015-jan-tgrs_cnnsariceconcentration.pdf (11.57 MB)
Scharfenberger, C., A. Jain, A. Wong, and P. Fieguth, "Image saliency detection via multi-scale statistical non-redundancy modeling", 2014 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 4294–4298, 2014.
Scharfenberger, C., A. Jain, A. Wong, and P. Fieguth, "Image saliency detection via multi-scale statistical non-redundancy modeling", IEEE Conference on Image Processing, 2014. PDF icon 2014icip_msnr.pdf (2.13 MB)
Kazemzadeh, F., A. Wong, and S. Haider, Imaging System and Method for Concurrent Multiview Multispectral Polarimetric Light-field High Dynamic Range Imaging, USA, 2014.
Wong, A., Integrated Vehicle Stability and Power Management Controls for Electric Vehicles: University of Waterloo, 2014.
Yazici, D., BD. White, P-C. Ho, N. Kanchanavatee, K. Huang, AJ. Friedman, AS. Wong, VW. Burnett, NR. Dilley, and MB. Maple, "Investigation of magnetic order in Sm T r 2 Zn 20 (T r= Fe, Co, Ru) and Sm T r 2 Cd 20 (T r= Ni, Pd)", Physical Review B, vol. 90, no. 14: American Physical Society, pp. 144406, 2014.
Xu, L., J. Li, A. Wong, and C. Wang, "A kernel PCA texture feature for efficient segmentation of Radarsat-2 SAR sea ice imagery", International Journal of Remote Sensing, vol. 35, issue 14, pp. 5053-5072, 2014. PDF icon 2014_-_linlin_xu_-_akpcatexturefeaturemodelforefficientsegmentationofretrieved-2014-09-05.pdf (1.01 MB)
Xu, L., J. Li, A. Wong, and C. Wang, "A KPCA texture feature model for efficient segmentation of RADARSAT-2 SAR sea ice imagery", International Journal of Remote Sensing, vol. 35, no. 13: Taylor & Francis, pp. 5053–5072, 2014.
Xu, L., J. Li, A. Wong, and J. Peng, "Kp-means: A clustering algorithm of k “purified” means for hyperspectral endmember estimation", IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 10: IEEE, pp. 1787–1791, 2014.
Xu, L., J. Li, A. Wong, and J. Peng, "K-P-Means: A Clustering Algorithm of K 'Purified' Means for Hyperspectral Endmember Estimation", IEEE Geoscience and Remote Sensing Letters, vol. 11, issue 10, pp. 1787 - 1791, 2014. Package icon kpmeans_code.zip (5.69 MB)PDF icon 06779599.pdf (400.57 KB)
Das, A., M. Diu, N. Mathew, C. Scharfenberger, J. Servos, A. Wong, J. S. Zelek, and D. A. Clausi, "Mapping, planning and detection strategies for autonomous exploration", Journal of Field Robotics, 75 - 106, 2014.
Das, A., M. Diu, N. Mathew, C. Scharfenberger, J. Servos, A. Wong, J. S. Zelek, D. A. Clausi, and S. L. Waslander, "Mapping, planning, and sample detection strategies for autonomous exploration", Journal of Field Robotics, vol. 31, no. 1, pp. 75–106, 2014.
Das, A., M. Dui, C. Scharfenberger, J. Servos, A. Wong, J. S. Zelek, and D. A. Clausi, "Mapping, Planning, and Sample Detection Strategies for Autonomous Exploration", Journal of Field Robotics, vol. 31, issue 1, pp. 75 - 106, 2014.
Cho, D., A. Wong, D. A. Clausi, J. Callaghan, and J. Yates, "Markov-Chain Monte Carlo based Image Reconstruction for Streak Artifact Reduction on Contrast Enhanced Computed Tomography", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2014.
Cho, D. S., A. Wong, J. P. Callaghan, J. Yates, and D. A. Clausi, "Markov-chain Monte Carlo-based image reconstruction for streak artefact reduction on contrast-enhanced computed tomography", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 2, no. 2: Taylor & Francis, pp. 67–75, 2014.
Amelard, R., J. Glaister, A. Wong, and D. A. Clausi, "Melanoma decision support using lighting-corrected intuitive feature models", Computer Vision Techniques for the Diagnosis of Skin Cancer: Springer, Berlin, Heidelberg, pp. 193–219, 2014.
Xu, L., "Mixture of Latent Variable Models for Remotely Sensed Image Processing", Department of Geography and Environmental Management, 2014. PDF icon xu_linlin_0.pdf (2.07 MB)
Aierken, A., D. B. Davis, Q. Zhang, K. Gupta, A. Wong, and H. U. Asuncion, "A multi-level funneling approach to data provenance reconstruction", 2014 IEEE 10th International Conference on e-Science, vol. 2: IEEE, pp. 71–74, 2014.
Kasiri, K., D. A. Clausi, and P. Fieguth, "Multi-modal image registration using structural features", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. PDF icon embc_poster.pdf (792.38 KB)
Kasiri, K., D. A. Clausi, and P. Fieguth, "Multi-modal image registration using structural features", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 5550–5553, 2014.
Khalvati, F., A. Wong, G. Bjarnson, and M. Haider, "A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014.
Khalvati, F., A. Modhafar, A. Cameron, A. Wong, and M. A. Haider, "A multi-parametric diffusion magnetic resonance imaging texture feature model for prostate cancer analysis", Computational Diffusion MRI: Springer, Cham, pp. 79–88, 2014.
Cameron, A., A. Modhafar, F. Khalvati, D. Lui, M. J. Shafiee, A. Wong, and M. Haider, "