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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.
Cameron, A., A. Modhafar, F. Khalvati, D. Lui, M. J. Shafiee, A. Wong, and M. Haider, "Multiparametric MRI Prostate Cancer Analysis via a Hybrid Morphological-Textural Model", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014.
Cameron, A., A. Modhafar, F. Khalvati, D. Lui, M. J. Shafiee, A. Wong, and M. Haider, "Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 3357–3360, 2014.
Cameron, A., J. Glaister, A. Wong, and M. Haider, "Non-parametric Bayesian Estimation of Apparent Diffusion Coefficient from Diffusion-Weighted Magnetic Resonance Imaging Data", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology, 2012. PDF icon embc_poster_2.pdf (478.17 KB)
Cameron, A., J. Glaister, A. Wong, and M. A. Haider, "Non-parametric Bayesian estimation of apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging data", 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 412–415, 2012.
Cameron, A., F. Khalvati, A. Wong, and M. Haider, "MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection", IEEE Transactions on Biomedical Engineering, 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., D. Lui, A. Boroomand, J. Glaister, A. Wong, and K. Bizheva, "Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling", Biomedical Optics Express, vol. 4, 08/2013.
Cameron, A., D. Lui, A. Boroomand, J. Glaister, A. Wong, and K. Bizheva, "Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling", Biomedical optics express, vol. 4, no. 9: Optical Society of America, pp. 1769–1785, 2013.
Campaigne, W. R., P. Fieguth, and S. K. Alexander, "Frozen-state hierarchical annealing", International Conference Image Analysis and Recognition: Springer, Berlin, Heidelberg, pp. 41–52, 2006.
Campaigne, W., and P. Fieguth, "Frozen State Hierarchical Annealing", IEEE Transactions on Image Processing, vol. 22, pp. 1486-1497, 2013. PDF icon wes-twocolumn-12.pdf (3.48 MB)
Campaigne, W., "Frozen-State Hierarchical Annealing", Department of Systems Design Engineering, 2012. PDF icon campaigne_wesley_thesis.pdf (6.05 MB)
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.
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.
Carballo, G. F., and P. Fieguth, "Multiresolution Network Flow Phase Unwrapping", IEEE 2000 International Geoscience and Remote Sensing Symposium, 2000. PDF icon multiresolution_network_flow_phase_unwrapping.pdf (5.65 MB)
Carballo, GF., and PW. Fieguth, "Multiresolution network flow phase unwrapping", IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No. 00CH37120), vol. 2: IEEE, pp. 755–757, 2000.
Carballo, G. F., and P. Fieguth, "Probabilistic cost functions for network flow phase unwrapping", IEEE International Geoscience and Remote Sensing Symposium, 1999. PDF icon probabilistic_cost_functions_for_network_flow_phase_unwrapping.pdf (2.7 MB)
Carballo, GF., and PW. Fieguth, "Probabilistic cost functions for network flow phase unwrapping", IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No. 99CH36293), vol. 3: IEEE, pp. 1531–1533, 1999.
Carballo, G. F., and P. Fieguth, "Hierarchical network flow phase unwrapping", IEEE Transactions on Geoscience and Remote Sensing, vol. 40, pp. 1695 - 1708, 2002. PDF icon hierarchical_network_flow_phase_unwrapping.pdf (5.65 MB)
Carballo, G. F., and P. W. Fieguth, "Hierarchical network flow phase unwrapping", IEEE transactions on geoscience and remote sensing, vol. 40, no. 8: IEEE, pp. 1695–1708, 2002.
Carballo, G. F., and P. Fieguth, "Probabilistic Cost Functions for Network Flow Phase Unwrapping", IEEE Transactions on Geoscience and Remote Sensing, vol. 38, pp. 2192 - 2201, 2000.
Carballo, G. F., and P. W. Fieguth, "Probabilistic cost functions for network flow phase unwrapping", IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no. 5: IEEE, pp. 2192–2201, 2000.
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.
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.
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.
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.
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.
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.
Carrington, A., P. Fieguth, and H. H. Chen, "A New Mercer Sigmoid Kernel for Clinical Data Classification", 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'14), Chicago, U.S.A., IEEE, 2014. PDF icon carrington_et_al_-_a_new_mercer_sigmoid_kernel.pdf (260.36 KB)PDF icon mercer_sigmoid_pres_embc_with_appendix_0.pdf (1.03 MB)Package icon msig_0.zip (3.56 KB)
Carrington, A. M., P. W. Fieguth, and H. H. Chen, "A new mercer sigmoid kernel for clinical data classification", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 6397–6401, 2014.
Carrington, A., P. Fieguth, and H. Chen, A new Mercer sigmoid kernel, Submitted.
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.
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.
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.
Cavan, N., P. Fieguth, and D. A. Clausi, "Autocalibration: Finding infinity in a projective reconstruction", 2011 Canadian Conference on Computer and Robot Vision: IEEE, pp. 197–203, 2011.
Cavan, N., P. Fieguth, and D. A. Clausi, "Autocalibration: Finding infinity in projective reconstructions", 8th Canadian Conference on Computer and Robot Vision, St. Johns, Newfoundland, 05/2011. PDF icon autocalibration_-_finding_infinity_in_projective_reconstructions.pdf (5.26 MB)
Chacra, D. Abou, and J. Zelek, "Municipal Infrastructure Anomaly and Defect Detection", 2018 26th European Signal Processing Conference (EUSIPCO): IEEE, pp. 2125–2129, 2018.
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.
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.
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, "Using superpixels for road segmentation in street view images", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Chan, C., and A. Wong, "Shot Boundary Detection using Genetic Algorithm Optimization", IEEE International Symposium on Multimedia, 2011.
Chan, C., and A. Wong, "Shot boundary detection using genetic algorithm optimization", 2011 IEEE International Symposium on Multimedia: IEEE, pp. 327–332, 2011.
Chan, J., M. Hopson, S. So, R. Szeto, C. Tso, D. Iaboni, and J. S. Zelek, An Ultrasound and Tactile Skirt Enabled Wheelchair, Submitted.
Chan, G., K. Kim, M. Sun, D. Shen, D. Iaboni, and J. S. Zelek, Forget-Me-Not: Loss-Prevention for Seniors, Submitted.
Chan, M., C. NG, A. Wong, S. Chan, S. MAK, C. Cheng, and W. Wong, "The Long Term Outcome of Men Who Successfully Trial without Catheter with Alpha Blocker during Acute Retention of urine: ABS/MP-03/ACUBali/08-B", International Journal of Urology, vol. 13, 2006.
Chang, P., YK. Koh, SL. Geh, E. Soepadmo, SH. Goh, and AK. Wong, "Cardiovascular effects in the rat of dihydrocorynantheine isolated from Uncaria callophylla", Journal of ethnopharmacology, vol. 25, no. 2: Elsevier, pp. 213–215, 1989.
Chen, JY., M. Holbein, and J. S. Zelek, "Intro to haptic communications for high school students", Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.: IEEE, pp. 733–738, 2006.
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.
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.
Cheong, SG., N. Nagendran, YM. Law, PH. Tan, A. Wong, I. Heng, and others, "Phyllodes tumour: imaging features with histopathological correlation", Proceedings, vol. 15, no. 3, pp. 140–6, 2006.
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.
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.
Cho, D., S. Haider, R. Amelard, A. Wong, and D. A. Clausi, "Physiological Characterization of Skin Lesion using Non-linear Random Forest Regression Model", 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sheraton Chicago Hotel and Towers Chicago, IL, USA, 02/2014.
Cho, D. S., S. Haider, R. Amelard, A. Wong, and D. Clausi, "Physiological characterization of skin lesion using non-linear random forest regression model", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 3349–3352, 2014.
Cho, D., D. A. Clausi, and A. Wong, "Dermal Radiomics for Melanoma Screening", Vision Letters, 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.
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.
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.
Cho, Y., "Introduction: football in Asia", Soccer & Society, vol. 14, no. 5: Routledge, pp. 579–587, 2013.
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.
Chowdhury, M. S., and D. A. Clausi, "Sea ice boundary detection in SAR satellite images using conflicting strength", 1st Canadian Conference on Computer and Robot Vision, London, Ontario, Canada, 2004. PDF icon sea_ice_boundary_detection_in_sar_satellite_images_using_conflicting_strength.pdf (1.4 MB)
Chowdhury, M. Sharif, and D. A. Clausi, "Sea ice boundary detection in SAR satellite images using conflicting strength", First Canadian Conference on Computer and Robot Vision, 2004. Proceedings.: IEEE, pp. 440–445, 2004.
Chowdhury, M. S., and D. A. Clausi, "Shape Preserving Edge Enhancement in Remote Sensing Imagery", IEEE International Geoscience and Remote Sensing Symposium, 2002. PDF icon shape_preserving_edge_enhancement_in_remote_sensing_imagery.pdf (329.91 KB)
Chowdhury, M. Sharif, and D. A. Clausi, "Shape preserving edge enhancement in remote sensing imagery", IEEE International Geoscience and Remote Sensing Symposium, vol. 3: IEEE, pp. 1450–1452, 2002.
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.
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.
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.
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.
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.
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.
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)
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.
Chung, A., P. Fieguth, and A. Wong, "Mitigating architectural mismatch during the evolutionary synthesis of deep neural networks", arXiv preprint arXiv:1811.07966, 2018.
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.
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.
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.
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.
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)
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.
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.
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.
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, "Time-Frequency Domain Analysis via Pulselets for Non-Contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms", 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. 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)
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. 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)
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, 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.
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.
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)
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.
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.
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.
Clausi, D. A., G. W. Brodland, and C. T. Leondes, "Finite Element Modeling of Embryo Tissue Formation", Computer Techniques and Computational Methods in Biomechanics, Biomechanical Systems Techniques and Applications, vol. 1: CRC Press, 2001. PDF icon finite_element_modelling_of_embryo_tissue_formation.pdf (2.82 MB)
Clausi, D. A., K. Qin, M. S. Chowdhury, P. Yu, and P. Maillard, "MAGIC: MAp-Guided Ice Classification system for operational analysis", 5th IAPR Workshop on Pattern Recognition in Remote Sensing, Tampa, FL, USA, 2008. PDF icon map-guided_ice_classification.pdf (3.92 MB)
Clausi, DA., AK. Qin, MS. Chowdhury, P. Yu, and P. Maillard, "MAGIC: Map-guided ice classification system for operational analysis", 2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008): IEEE, pp. 1–4, 2008.
Clausi, D. A., and H. Deng, "Feature fusion for image texture segmentation", 17th International Conference on Pattern Recognition (ICPR), 2004. PDF icon feature_fusion_for_image_texture_segmentation.pdf (334.95 KB)
Clausi, D. A., and H. Deng, "Feature fusion for image texture segmentation", Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., vol. 1: IEEE, pp. 580–583, 2004.
Clausi, D. A., and B. Yue, "Texture segmentation comparison using grey level co-occurrence probabilities and Markov random fields", 17th International Conference on Pattern Recognition (ICPR), Cambridge, United Kingdom, 08/2004. PDF icon texture_segmentation_comparison_of_grey_level_co-occurrence_probabilities_and_markov_random_fields.pdf (403.09 KB)
Clausi, D. A., and B. Yue, "Texture segmentation comparison using grey level co-occurrence probabilities and Markov random fields", Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., vol. 1: IEEE, pp. 584–587, 2004.
Clausi, D. A., E. LeDrew, and A. N. San, "The Arctic oscillation and sea ice variability in the Beaufort Sea and Baffin Bay regions from wavelet analysis of passive microwave sea ice concentrations", IEEE International Geoscience and Remote Sensing Symposium, Anchorage, Alaska, 2004.
Clausi, D. A., and H. Deng, "Fusion of Gabor filter and co-occurrence probability features for texture recognition", 16th International Conference on Vision Interface (VI ’03), Halifax, NS, Canada, 06/2013, 2003. PDF icon unsupervised_segmentation_of_texture_images_through_optimal_fusion_of_gabor_and_co-occurrence_texture_features.pdf (145.28 KB)
Clausi, D. A., and H. Deng, "Operational segmentation and classification of SAR sea ice imagery", 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, An Honorary Workshop for Prof. David A. Landgrebe, 2003. PDF icon operational_segmentation_and_classification_of_sar_sea_ice_imagery.pdf (1.63 MB)
Clausi, D. A., and H. Deng, "Operational segmentation and classification of SAR sea ice imagery", IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003: IEEE, pp. 268–275, 2003.
Clausi, D. A., and Y. Zhao, "An advanced computational method to determine co-occurrence probability texture features", IEEE International Geoscience and Remote Sensing Symposium, vol. 4: IEEE, pp. 2453–2455, 2002.
Clausi, D. A., "Improved texture recognition of SAR sea ice imagery by data fusion of MRF features with traditional methods", IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No. 01CH37217), vol. 3: IEEE, pp. 1170–1172, 2001.
Clausi, D. A., and Y. Zhao, "Rapid determination of co-occurrence texture features", IEEE Geoscience and Remote Sensing Symposium, 2001. PDF icon rapid_determination_of_co-occurrence_texture_features_using_a_hybrid_data_structure.pdf (84.17 KB)
Clausi, D. A., and Y. Zhao, "Rapid determination of co-occurrence texture features", IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No. 01CH37217), vol. 4: IEEE, pp. 1880–1882, 2001.
Clausi, D. A., "A comparison of texture analysis algorithms", 20th Annual Symposium of the Canadian Remote Sensing Society, Calgary, AB, Canada, 1998.
Clausi, D. A., "A comparison of texture analysis algorithms", CASI, Remote Sensing Symposium, 20 th, Calgary, Canada, pp. 137–140, 1998.
Clausi, D. A., "Algorithm for clustering hyperellipsoidal texture feature classes", IASTED/IEEE Signal and Image Processing (SIP/98), Las Vegas, Nevada, 1998.
Clausi, D. A., "Markov random field texture estimates of operational properties of old-growth forests", 20th Annual Symposium of the Canadian Remote Sensing Society, Calgary, AB, Canada, 1998.
Clausi, D. A., "Markov random field texture estimates of operational properties of old-growth forests", 20th Annual Symposium of the Canadian Remote Sensing Society, Calgary, AB, Canada, 1998.
Clausi, D. A., "Selection of Gabor filter parameters for texture discrimination in natural imagery", CASI, Remote Sensing Symposium, 20 th, Calgary, Canada, pp. 179–182, 1998.
Clausi, D. A., "Selection of Gabor filter parameters for texture discrimination of natural imagery", 20th Annual Symposium of the Canadian Remote Sensing Society, 1998.
Clausi, D. A., "A fast method to determine co-occurrence texture features using a linked list implementation", 26th International Symposium on Remote Sensing of Environment and 18th Annual Symposium of the Canadian Remote Sensing Society, Vancouver, BC, Canada, 1996. PDF icon a_fast_method_to_determine_co-occurrence_texture_features_using_a_linked_list_implementation.pdf (147.83 KB)
Clausi, D. A., "Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery", 26th International Symposium on Remote Sensing of Environment and 18th Annual Symposium of the Canadian Remote Sensing Society, Vancouver, BC, Canada, 1996.
Clausi, D. A., "An inverse method to determine the spatial variation of Young's modulus in bone", 13th Canadian Congress of Applied Mechanics (CANCAM), Vancouver, BC, Canada, Winnipeg, MN, Canada, 1990.
Clausi, D. A., R. Galpin, and A. McLarin, "Biomechanical evaluation of tibial limb lengthening devices", Annual Meeting of the Canadian Orthopaedic Research Society, 1989.
Clausi, D. A., K. Radhakrishnan, and A. K. Scott, "Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 5339 - 5351, 2021.
Clausi, DA., AK. Qin, MS. Chowdhury, P. Yu, and P. Maillard, "MAGIC: MAp-guided ice classification system", Canadian Journal of Remote Sensing, vol. 36, no. sup1: Taylor & Francis, pp. S13–S25, 2010.
Clausi, D. A., K. Qin, M. S. Chowdhury, P. Yu, and P. Maillard, "MAGIC: MAp-Guided Ice Classification system for operational analysis", Canadian Journal of Remote Sensing, vol. 36, pp. S13 - S25, 2010. PDF icon map-guided_ice_classification.pdf (3.92 MB)
Clausi, D. A., P. Iles, G. W. Brodland, and S. Puddister, "Estimation of cellular fabric in embryonic epithelia", Computer Methods in Biomechanics and Biomedical Engineering, vol. 10, pp. 75 - 84, 2007. PDF icon estimation_of_cellular_fabric_in_embryonic_epithelia.pdf (711.66 KB)
Clausi, D. A., and H. Deng, "Design-based texture feature fusion using Gabor filters and co-occurrence probabilities", IEEE Transactions on Image Processing, vol. 14, no. 7: IEEE, pp. 925–936, 2005.
Clausi, D. A., and H. Deng, "Fusion of Gabor filter and co-occurrence probability features for texture recognition", IEEE Transactions on Image Processing, vol. 14, no. 7, pp. 925–936, 2005.
Clausi, D. A., and B. Yue, "Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 1: IEEE, pp. 215–228, 2004.
Clausi, D. A., and Y. Zhao, "Grey level co-occurrence integrated algorithm (GLCIA): a superior computational method to rapidly determine co-occurrence probability texture features", Computers & Geosciences, vol. 29, no. 7: Pergamon, pp. 837–850, 2003.
Clausi, D. A., "An analysis of co-occurrence texture statistics as a function of grey level quantization", Canadian Journal of remote sensing, vol. 28, no. 1: Taylor & Francis, pp. 45–62, 2002.
Clausi, D. A., "K-means Iterative Fisher (KIF) unsupervised clustering algorithm applied to image texture segmentation", Pattern Recognition, vol. 35, no. 9: Pergamon, pp. 1959–1972, 2002.
Clausi, D. A., and Y. Zhao, "Rapid extraction of image texture by co-occurrence using a hybrid data structure", Computers & Geosciences, vol. 28, no. 6: Pergamon, pp. 763–774, 2002.
Clausi, D. A., "Comparison and fusion of co-occurrence, Gabor and MRF texture features for classification of SAR sea-ice imagery", Atmosphere-Ocean, vol. 39, no. 3: Taylor & Francis Group, pp. 183–194, 2001.
Clausi, D. A., and E. Jernigan, "Designing Gabor filters for optimal texture separability", Pattern Recognition, vol. 33, pp. 1835 - 1849, 2000. PDF icon designing_gabor_filters_for_optimal_texture_separability.pdf (877.65 KB)
Clausi, D. A., and E. M Jernigan, "Designing Gabor filters for optimal texture separability", Pattern Recognition, vol. 33, no. 11: Pergamon, pp. 1835–1849, 2000.
Clausi, D. A., and E. Jernigan, "A fast method to determine co-occurrence texture features", IEEE Transactions on Geoscience and Remote Sensing, vol. 36, issue 298 - 300, pp. 298 - 300, 1998. PDF icon a_fast_method_to_determine_co-occurrence_texture_features.pdf (93.35 KB)
Clausi, D. A., and E. M Jernigan, "A fast method to determine co-occurrence texture features", IEEE Transactions on Geoscience and Remote Sensing, vol. 36, no. 1: IEEE, pp. 298–300, 1998.
Clausi, D. A., and W. G Brodland, "Mechanical evaluation of theories of neurulation using computer simulations", Development, vol. 118, no. 3: The Company of Biologists Ltd, pp. 1013–1023, 1993.
Clausi, D. Anthony, J. Alexander Eichel, W. Xin Zhang, and C. Michael Rathe, System and method for collecting and analyzing event data, 2010.
US Patent 7,646,914
Clausi, D. A., C. M. Rathe, J. A. Eichel, and W. Zhang, System and Method for Collecting and Analyzing Event Data, 2006.
Clausi, D. A., "Texture Segmentation of SAR Sea Ice Imagery", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, pp. 176, 1996. PDF icon texture_segmentation_of_sar_sea_ice_imagery.pdf (1.34 MB)
Clausi, D. Anthony, Texture segmentation of SAR sea ice imagery: University of Waterloo Waterloo, Ontario, Canada N2L 3G1, 1996.
Clausi, D. A., "Finite Element Simulation of Early Embryonic Development", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 1992.
Cnaani, J., A. Wong, and JD. Thomson, "Articles, Reports & Notes-Effect of Group Size in Ovarian Development in Bumblebee Workers (Hymenoptera: Apidae: Bombus imnatiens)", Entomologia Generalis/Journal of General and Applied Entomology, vol. 29, no. 2, pp. 305, 2004.
Coffin, C. S., A. Ramji, C. L. Cooper, D. Miles, K. E. Doucette, P. Wong, E. Tam, D. K. Wong, A. Wong, S. Ukabam, et al., "Epidemiologic and clinical features of chronic hepatitis B virus infection in 8 Canadian provinces: a descriptive study by the Canadian HBV Network", CMAJ open, vol. 7, no. 4: Canadian Medical Association, pp. E610, 2019.
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.
Collins, M. J., J. Wiebe, and D. A. Clausi, "The effect of speckle filtering on scale-dependent texture estimation of a forested scene", IEEE Transactions on Geoscience and Remote Sensing, vol. 38, pp. 1160 - 1170, 2000. PDF icon the_effect_of_speckle_filtering_on_scale_dependent_texture_estimation_of_a_forested_scene.pdf (677.27 KB)
Collins, M. J., J. Wiebe, and D. A. Clausi, "The effect of speckle filtering on scale-dependent texture estimation of a forested scene", IEEE transactions on geoscience and remote sensing, vol. 38, no. 3: IEEE, pp. 1160–1170, 2000.
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.
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.
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.
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.
Cullen, J., P. Fieguth, S. Pounder, and K. Whitear, "Analysis of corneal images for assessing contact lens trauma", International Conference on Image Processing, Vancouver, 2000. PDF icon analysis_of_corneal_images_for_assessing_contact_lens_trauma.pdf (369.87 KB)
Cullen, J., P. Fieguth, S. Pounder, and K. Whitear, "Analysis of corneal images for assessing contact lens trauma", Proceedings 2000 International Conference on Image Processing (Cat. No. 00CH37101), vol. 1: IEEE, pp. 176–179, 2000.

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