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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.
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Ahmadi, E., Z. Azimifar, P. Fieguth, and S. Ayatollahi, "Image synthesis using conditional random fields", 17th IEEE International Conference on Image Processing (ICIP), 2010.
image_synthesis_using_conditional_random_fields.pdf (282.63 KB)
Ahmadi, E., Z. Azimifar, P. Fieguth, and S. Ayatollahi, "Image Synthesis using Conditional Random Fields", 2010 IEEE International Conference on Image Processing: IEEE, pp. 3997–4000, 2010.
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.
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.
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Aksoy, S., N. H. Younan, and D. A. Clausi, "The 5th IAPR workshop on pattern recognition in remote sensing", 2008 19th International Conference on Pattern Recognition: IEEE, pp. 1–1, 2008.
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.
Alajian, N., and P. Fieguth, "Robust shape retrieval using maximum likelihood theory", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004.
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Alajlan, N., P. Fieguth, and M. Kamel, "Robust shape retrieval using maximum likelihood theory", International Conference Image Analysis and Recognition: Springer, Berlin, Heidelberg, pp. 745–752, 2004.
Alexander, S. K., P. Fieguth, and E. Vrscay, "Discrete-state modeling of porous media over multiple scales", SIAM Conference on Mathematical and Computational Issues in the Geosciences, Avignon, 2005.
Alexander, S. K., P. Fieguth, and E. Vrscay, "Hierarchical annealing of porous media", SIAM Conference on Mathematical and Computational Issues in the Geosciences, Avignon, 2005.
Alexander, S. K., P. Fieguth, and E. Vrscay, "Hierarchical annealing for scientific models", 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, 2004.
hierarchical_annealing_for_scientific_models.pdf (324.07 KB)
Alexander, S. K., P. Fieguth, and E. R. Vrscay, "Hierarchical annealing for scientific models", 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3: IEEE, pp. iii–33, 2004.
Alexander, S. K., P. Fieguth, and E. R. Vrscay, "Parameterized hierarchical annealing for scientific models", International Conference Image Analysis and Recognition: Springer, Berlin, Heidelberg, pp. 236–243, 2004.
Alexander, S. K., P. Fieguth, and E. Vrscay, "Hierarchical annealing for random image synthesis", Fourth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2003), Portugal, 2003.
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Alexander, S. K., P. Fieguth, and E. R. Vrscay, "Hierarchical annealing for random image synthesis", International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition: Springer, Berlin, Heidelberg, pp. 194–210, 2003.
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multiscale_methods_in_image_modelling_and_image_processing.pdf (12.83 MB)
Ali, M., and D. A. Clausi, "Automatic registration of SAR and visible band remote sensing images", Joint IEEE International Geoscience and Remote Sensing Symposium and 24th Canadian Remote Sensing Symposium, 2002.
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Ali, M. A., and D. A. Clausi, "Automatic registration of SAR and visible band remote sensing images", IEEE International Geoscience and Remote Sensing Symposium, vol. 3: IEEE, pp. 1331–1333, 2002.
Ali, M., and D. A. Clausi, "Using the Canny edge detector for feature extraction and enhancement of remote sensing images", IEEE Geoscience and Remote Sensing Symposium, 2001.
using_the_canny_edge_detector_for_feature_extraction_and_enhancement_of_remote_sensing_images.pdf (231.16 KB)
Ali, M., and D. Clausi, "Using the Canny edge detector for feature extraction and enhancement of remote sensing images", IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No. 01CH37217), vol. 5: IEEE, pp. 2298–2300, 2001.
Ali, M., "Automatic Registration of Visible-Band and SAR Satellite and Aerial Remotely Sensed Images", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2003.
automatic_registration_of_visible-band_and_sar_satellite_and_aerial_remotely_sensed_images_1.pdf (14.31 MB)
Allen, M. R., M. J. Murray, and P. Fieguth, "Combined ATSR AVHRR skin sea temperature analysis (CAASSTA)", EGS Meeting, Nice, 2000.
Allison, M., S. Mohindroo, K. Po, S. Shah, E. Elmajian, W. Chen, and J. S. Zelek, Motorized Step Rollator for Elderly Home Safety, 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.
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.
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.
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, pp. 193-219, 2013.
306585_1_en_7_chapter_onlinepdf.pdf (1.24 MB)
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.
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.
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., 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., 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., 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.
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, "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.
spie2016_hematoma.pdf (358.23 KB)
Amelard, R., D. A. Clausi, and A. Wong, "Spectral photoplethysmographic imaging sensor fusion for enhanced heart rate detection", SPIE photonics West, 2015.
spie2016_entropy.pdf (1.59 MB)
Amelard, R., A. Wong, and D. A. Clausi, "Unsupervised Classification Of Agricultural Land Cover Using Polarimetric Synthetic Aperture Radar Via A Sparse Texture Dictionary Model", IEEE International Geoscience and Remote Sensing Symposium, 2013.
igarss2013_flevoland_final.pdf (1.25 MB) igarss2013_flevoland.pdf (1.31 MB)
Amelard, R., A. Wong, and D. A. Clausi, "Unsupervised classification of agricultural land cover using polarimetric synthetic aperture radar via a sparse texture dictionary model", 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS: IEEE, pp. 4383–4386, 2013.
Amelard, R., A. Wong, D. A. Clausi, and F. Li, "Unsupervised Classification of Sea-Ice and Water Using Synthetic Aperture Radar via an Adaptive Texture Sparsifying Transform", IEEE International Geoscience and Remote Sensing Symposium, 2013.
igarss2013_seaice_final.pdf (1.25 MB) seaice.pdf (1.26 MB)
Amelard, R., A. Wong, F. Li, and D. A. Clausi, "Unsupervised classification of sea-ice using synthetic aperture radar via an adaptive texture sparsifying transform", 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS: IEEE, pp. 3958–3961, 2013.
Amelard, R., A. Wong, and D. A. Clausi, "Extracting High-Level Intuitive Features (HLIF) For Classifying Skin Lesions Using Standard Camera Images", 9th Conference on Computer and Robot Vision, Toronto, 05/2012.
amelard_wong_clausi_crv2012_final.pdf (575.1 KB) robert_amelard_-_hlif.pdf (708.66 KB)
Amelard, R., A. Wong, and D. A. Clausi, "Extracting high-level intuitive features (HLIF) for classifying skin lesions using standard camera images", 2012 Ninth Conference on Computer and Robot Vision: IEEE, pp. 396–403, 2012.
Amelard, R., A. Wong, and D. A. Clausi, "Extracting Morphological High-Level Intuitive Features (HLIF) for Enhancing Skin Lesion Classification", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, 08/2012.
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Amelard, R., A. Wong, and D. A. Clausi, "Extracting morphological high-level intuitive features (HLIF) for enhancing skin lesion classification", 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 4458–4461, 2012.
Amelard, R., and A. Wong, Hemodynamic Imaging: Elsevier, 2019.
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.
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.
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.
Amelard, R., J. Elung, D. A. Clausi, and A. Wong, "A Portable Plug-and-Play Imaging System for Physiological Monitoring", Vision Letters, 2015.
cvis_abstract.pdf (321.51 KB)
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., 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.
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.
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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.
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.
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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.
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Amelard, R., "High-Level Intuitive Features (HLIFs) for Melanoma Detection", Department of Systems Design Engineering, pp. 85, 2013.
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Amiri, M., Z. Azimifar, and P. Fieguth, "Correlated non-linear wavelet shrinkage", 15th IEEE International Conference on Image Processing, 2008, 2008.
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Amiri, M., Z. Azimifar, and P. Fieguth, "Correlated non-linear wavelet shrinkage", 2008 15th IEEE International Conference on Image Processing: IEEE, pp. 2348–2351, 2008.
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Areibi, S., and J. Zelek, "A Smart Reconfigurable Visual System for the Blind", Conf. Smart Systems and Devices (SSD), 2001.
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.
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.
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.
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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.
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.
Asadi, N., E. Haghshenas, and A. Mirzaei, "Multiple observations HMM learning by aggregating ensemble models", IEEE Transactions on Signal Processing, vol. 61, issue 22, 2013.
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Asmar, D. C., J. S. Zelek, and S. M. Abdallah, "Tree trunks as landmarks for outdoor vision SLAM", 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06): IEEE, pp. 196–196, 2006.
Asmar, D. C., J. S. Zelek, and S. M. Abdallah, "Seeing the trees before the forest [natural object detection]", The 2nd Canadian Conference on Computer and Robot Vision (CRV'05): IEEE, pp. 587–593, 2005.
Asmar, D. C., J. S. Zelek, and S. M. Abdallah, "SmartSLAM: localization and mapping across multi-environments", 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No. 04CH37583), vol. 6: IEEE, pp. 5240–5245, 2004.
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Azimifar, Z., P. Fieguth, and E. Jernigan, "Correlated wavelet shrinkage: models of local random fields across multiple resolutions", International Conference on Image Analysis and Recognition, 2005.
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Azimifar, Z., P. Fieguth, and E. Jernigan, "Correlated wavelet shrinkage: Models of local random fields across multiple resolutions", IEEE International Conference on Image Processing 2005, vol. 3: IEEE, pp. III–157, 2005.
Azimifar, Z., P. Fieguth, and E. Jernigan, "Textures and wavelet-domain joint statistics", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004.
textures_and_wavelet_domain_joint_statistics.pdf (459 KB)
Azimifar, Z., P. Fieguth, and E. Jernigan, "Textures and wavelet-domain joint statistics", International Conference Image Analysis and Recognition: Springer, Berlin, Heidelberg, pp. 331–338, 2004.
Azimifar, Z., P. Fieguth, and E. Jernigan, "Hierarchical Markov models for wavelet-domain statistics", 2003 IEEE Workshop on Statistical Signal Processing, 2003.
hierarchical_markov_models_for_wavelet_domain_statistics.pdf (282.34 KB)
Azimifar, Z., P. Fieguth, and E. Jernigan, "Hierarchical Markov models for wavelet-domain statistics", IEEE Workshop on Statistical Signal Processing, 2003: IEEE, pp. 258–261, 2003.
Azimifar, Z., P. Fieguth, and E. Jernigan, "Hierarchical multiscale modeling of wavelet-based correlations", Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, 2002.
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Azimifar, Z., P. Fieguth, and E. Jernigan, "Hierarchical multiscale modeling of wavelet-based correlations", Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR): Springer, Berlin, Heidelberg, pp. 850–859, 2002.
Azimifar, Z., P. Fieguth, and E. Jernigan, "Towards random field modeling of wavelet statistics", International Conference on Image Processing, Rochester, NY, 2002.
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Azimifar, Z., P. Fieguth, and E. Jernigan, "Towards random field modeling of wavelet statistics", Proceedings. International Conference on Image Processing, vol. 1: IEEE, pp. I–I, 2002.
Azimifar, Z., P. Fieguth, and E. Jernigan, "Modeling the correlation structure of images in the wavelet domain", 14th Canadian Conference on Electrical and Computer Engineering, Toronto, 2001.
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Azimifar, Z., P. Fieguth, and E. Jernigan, "Modeling the correlation structure of images in the wavelet domain", Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No. 01TH8555), vol. 2: IEEE, pp. 1123–1127, 2001.
Azimifar, Z., P. Fieguth, and E. Jernigan, "Wavelet shrinkage with correlated wavelet coefficients", International Conference on Image Processing, Greece, 2001.
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Azimifar, Z., P. Fieguth, and E. Jernigan, "Wavelet shrinkage with correlated wavelet coefficients", Proceedings 2001 International Conference on Image Processing (Cat. No. 01CH37205), vol. 3: IEEE, pp. 162–165, 2001.
Azimifar, Z., M. Amiri, P. Fieguth, and E. Jernigan, "Empirical Study of Wavelet Domain Image Joint Statistics and Proposition of an Efficient Correlation Map", Journal of Mathematical Imaging and Vision, vol. 43, no. 1: Springer US, pp. 24–38, 2012.
Azimifar, Z., M. Amiri, P. Fieguth, and E. Jernigan, "Empirical study of wavelet domain image joint statistics and proposition of an efficient correlation map", Journal of Mathematical Imaging and Vision, pp. 1 - 15, 2011.
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Azimifar, Z., "Image Models for Wavelet Domain Statistics", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2005.
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Azzi, C., and J. S. Zelek, Egocentric Place Recognition for AR Wayfinding Assistive Technology, Submitted.
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Babadi, M., B. Mashiatkon, Z. Azimifar, and P. Fieguth, "Probabilistic Estimation of Braille Document Parameters", ICIP, 2009.
Babadi, M. Yoosefi, B. Nasihatkon, Z. Azimifar, and P. Fieguth, "Probabilistic estimation of Braille document parameters", 2009 16th IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2001–2004, 2009.
Bachl, F., P. Fieguth, and C. Garbe, "BAYESIAN INFERENCE ON INTEGRATED CONTINUITY FLUID FLOWS AND THEIR APPLICATION TO DUST AEROSOLS", IGARSS, Melbourne, 2013.
Bachl, F. E., C. S. Garbe, and P. Fieguth, "Bayesian inference on integrated continuity fluid flows and their application to dust aerosols", 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS: IEEE, pp. 2246–2249, 2013.
Bachl, F. E., C. S. Garbe, and P. Fieguth, "A bayesian approach to spaceborn hyperspectral optical flow estimation on dust aerosols", 2012 IEEE International Geoscience and Remote Sensing Symposium: IEEE, pp. 256–259, 2012.
Bachl, F., P. Fieguth, and C. Garbe, "CLASSIFYING AND TRACKING DUST PLUMES FROM PASSIVE REMOTE SENSING", IGARSS, Munich, 2012.
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.
Bandekar, N., A. Wong, and D. A. Clausi, "A novel approach to automated cell counting for studying human corneal epithelial cells", 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11), 08/2011.
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Bandekar, N., A. Wong, D. Clausi, and M. Gorbet, "A novel approach to automated cell counting for studying human corneal epithelial cells", 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 5997–6000, 2011.
Bandekar, N., "Illumination and Noise-Based Scene Classification - Application to SAR Sea Ice Imagery", Department of Systems Design Engineering, Waterloo, ON, Canada, University of Waterloo, pp. 77, 2012.
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Barshan, E., C. Scharfenberger, M. Lamm, and P. Fieguth, "Resolution Enhancement Based on Shifted Superposition", Society for Information Display's Week 2015, 06/2015.
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.
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, "Scalable Learning for Restricted Boltzmann Machines", IEEE Conference on Image Processing, 2014.
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Barshan, E., and P. Fieguth, "Scalable learning for restricted boltzmann machines", 2014 IEEE International Conference on Image Processing (ICIP): IEEE, pp. 2754–2758, 2014.
Barshan, E., P. Fieguth, and A. Wong, "Multi-Neighborhood Convolutional Networks", Journal of Computational Vision and Imaging Systems, vol. 1, no. 1, 2015.
Barshan, E., and P. Fieguth, "Stage-wise training: an improved feature learning strategy for deep models", Journal of Machine Learning Research, 2015.
Beckerman, B., and A. Wong, Pour spout, sep # " 17", 2019.
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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.
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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.
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.
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.
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.
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.
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.
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., 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.
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.
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.
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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.
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.
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.
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Bizheva, K., C. Hyun, J. A. Eichel, S. Hariri, A. Mishra, D. A. Clausi, P. Fieguth, T. L. Simpson, and N. Hutchings, "Evaluation of hypoxic swelling of human cornea with high speed ultrahigh resolution optical coherence tomography", Ophthalmic Technologies XIX, vol. 7163: International Society for Optics and Photonics, pp. 71631G, 2009.
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Bizheva, K., A. Mishra, A. Wong, and D. A. Clausi, "Intra-retinal layer segmentation in optical coherence tomography images", Optics Express, vol. 17, pp. 23719–23728, 2009.
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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.
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.
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.
Booth, S., and D. A. Clausi, "Image segmentation using MRI vertebral cross-sections", 14th Canadian Conference on Electrical and Computer Engineering, 2001.
Booth, S., and D. A. Clausi, "Image segmentation using MRI vertebral cross-sections", Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No. 01TH8555), vol. 2: IEEE, pp. 1303–1307, 2001.
Booth, S., and D. A. Clausi, "Segmentation and three-dimensional reconstruction using MRI vertebral slices", Canadian Conference on Electrical and Computer Engineering, Toronto, ON, Canada, 05/2001.
Booth, S., and D. A. Clausi, "Automated segmentation and 3-d reconstruction from spinal MRI", World Congress on Medical Physics and Biomedical Engineering, Chicago, IL, 07/2000.
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, 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.
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.
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.
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.
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.
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., 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.
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.
Boroomand, A., MJ. Sahfiee, L. Wang, E. Kuang, F. Kazemzadeh, and A. Wong, Compensated lens-free light field microscopy, Submitted.
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.
Boroomand, A., J. Deglint, and A. Wong, "Bayesian Compensated Microscopy", 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.
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.
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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., 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.
Boroomand, A., A. Wong, E. Li, D. Cho, B. Ni, and K. Bizheva, "Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images", Biomedical Optics Express, 2013.
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Brenning, A., S. Long, and P. Fieguth, "Detecting rock glacier flow structures using Gabor filters and IKONOS imagery", Remote Sensing of environment, vol. 125: Elsevier, pp. 227–237, 2012.
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Brodland, G. W., and D. A. Clausi, "Cytoskeletal mechanics of neurulation: Insights obtained from computer simulations", Invited contribution to Biochemistry and Cell Biology, pp. 545 - 553, 1995.
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Brodland, G. W., and D. A. Clausi, "Embryonic Tissue Morphogenesis Modeled by FEM", Journal of Biomechanical Engineering, vol. 116, pp. 146-155, 1994.
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Brodland, GW., and DA. Clausi, Embryonic tissue morphogenesis modeled by FEM, 1994.
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Bullock, D., and J. Zelek, Automatic Target Detection and Model Acquisition for 3D Visual Tracking of Human Body Parts, Submitted.
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Bullock, D., and J. Zelek, "Limb target model event initialization for real-time monocular 3-d visual tracking", Submitted to CVIU, 2002.
Bullock, D., and J. Zelek, "3-D Human Limb Tracking Using Monocular Vision in Unconstrained Environments", Artificial Intelligence.
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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.
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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.
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Campaigne, W., "Frozen-State Hierarchical Annealing", Department of Systems Design Engineering, 2012.
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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.
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.
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.
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.
carrington_et_al_-_a_new_mercer_sigmoid_kernel.pdf (260.36 KB) mercer_sigmoid_pres_embc_with_appendix_0.pdf (1.03 MB) 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.
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, S-S., "Neural and Stochastic Methods in Image and Signal Processing II", SPIE, vol. 2032, 1993.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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, 2002.
an_advanced_computational_method_to_determine_co-occurrence_probability_texture_features.pdf (268 KB)
Clausi, D. A., and Y. Zhao, "An advanced computational method to determine co-occurrence probability texture features", IEEE International Geoscience and Remote Sensing Symposium, 2002.
an_advanced_computational_method_to_determine_co-occurrence_probability_texture_features.pdf (268 KB)
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", IEEE Geoscience and Remote Sensing Symposium, 2001.
improved_texture_recognition_of_sar_sea_ice_imagery_by_data_fusion_of_mrf_features_with_traditional_methods.pdf (76.51 KB)
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.
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.
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.
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.
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, vol. 14, pp. 925 - 936, 2005.
design-based_texture_feature_fusion_using_gabor_filters_and_co-occurrence_probabilities.pdf (924.52 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, pp. 215 - 228, 2004.
comparing_cooccurrence_probabilities_and_markov_random_fields_for_texture_analysis_of_sar_sea_ice_imagery.pdf (2.51 MB)
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, pp. 837 - 850, 2003.
grey_level_co-occurrence_integrated_algorithm_-_a_superior_computational_method_to_determine_co-occurrence_texture_features.pdf (254.87 KB)
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, pp. 45 - 62, 2002.
an_analysis_of_co-occurrence_texture_statistics_as_a_function_of_grey_level_quantization.pdf (688.82 KB)
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, pp. 1959 - 1972, 2002.
k-means_iterative_fisher_unsupervised_clustering_algorithm_applied_to_image_texture_segmentation.pdf (417.25 KB)
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, pp. 763 - 774, 2002.
rapid_co-occurrence_texture_feature_extraction_using_a_hybrid_data_structure.pdf (248.06 KB)
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., "Comparison and fusion of co-occurrence, Gabor, and MRF texture features for classification of SAR sea ice imagery", Atmosphere & Oceans, vol. 39, pp. 183 - 194, 2001.
comparison_and_fusion_of_co-occurrence_gabor_and_mrf_texture_features_for_classification_of_sar_sea_ice_imagery.pdf (471.42 KB)
Clausi, D. A., and E. Jernigan, "Designing Gabor filters for optimal texture separability", Pattern Recognition, vol. 33, pp. 1835 - 1849, 2000.
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.
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 E. M Jernigan, Towards a novel approach for texture segmentation of sar sea ice imagery, 1996.
Clausi, D. Anthony, Finite element simulation of early embryonic development., 1993.
Clausi, D. A., and W. G Brodland, "Mechanical evaluation of theories of neurulation using computer simulations", Development, vol. 118, pp. 1013 - 1023, 1993.
mechanical_evaluation_of_theories_of_neurulation_using_computer_simulations.pdf (234.97 KB)
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., S. Aksoy, and J. C. Tilton, Guest editorial: foreword to the special issue on pattern recognition in remote sensing, 2007.
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.
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.
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.
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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.
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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. 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.
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Deatrich, D., S. Liu, C. Payne, R. Tafirout, R. Walker, A. Wong, and M. Vetterli, "Grid infrastructure and large scale production for ATLAS", 2008 22nd International Symposium on High Performance Computing Systems and Applications: IEEE, pp. 172–176, 2008.
Deatrich, D., S. Liu, C. Payne, R. Tafirout, R. Walker, A. Wong, and M. Vetterli, "Managing petabyte-scale storage for the ATLAS Tier-1 Centre at TRIUMF", 2008 22nd International Symposium on High Performance Computing Systems and Applications: IEEE, pp. 167–171, 2008.
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.
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.
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.
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.
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.
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, 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.
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. 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.
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.
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.
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., 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.
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.
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.
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.
Active Countours for Measuring Arterial Wall Diameter of Astronauts from Ultrasound Images (174.9 KB)
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.
Numerical Spectral Demultiplexing Microscopy of Measurements from an Anatomical Specimen (3.05 MB)
Deng, H., and D. A. Clausi, "Unsupervised segmentation of synthetic aperture radar sea ice imagery using MRF models", 1st Canadian Conference on Computer and Robot Vision, London, Ontario, Canada, 05/2004.
unsupervised_segmentation_of_synthetic_aperture_radar_sea_ice_imagery_using_mrf_models.pdf (2.01 MB)
Deng, H., and D. A. Clausi, "Unsupervised segmentation of synthetic aperture radar sea ice imagery using MRF models", First Canadian Conference on Computer and Robot Vision, 2004. Proceedings.: IEEE, pp. 43–50, 2004.
Deng, H., and D. A. Clausi, "Advanced Gaussian MRF rotation-invariant texture features for classification of remote sensing imagery", 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Madison, WI, USA, 2003.
advanced_gaussian_mrf_rotation-invariant_texture_features_for_classification_of_remote_sensing_imagery.pdf (428.59 KB)
Deng, H., and D. A. Clausi, "Advanced Gaussian MRF rotation-invariant texture features for classification of remote sensing imagery", 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., vol. 2: IEEE, pp. II–685, 2003.
Deng, H., and DA. Clausi, "SPECIAL ISSUE PAPERS-SAR Image Analysis-Unsupervised Segmentation of Synthetic Aperture Radar Sea Ice Imagery Using a Novel Markov Random Field Model", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 3: New York, NY: Institute of Electrical and Electronics Engineers, pp. 528–538, 2005.
Deng, H., and D. A. Clausi, "Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, issue 12, pp. 528 - 538, 2005.
deng_and_clausi_-_sar_sea_ice_and_novel_mrf_-_ieee_geoscience_2005.pdf (3 MB)
Deng, H., and D. A. Clausi, "Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 3: IEEE, pp. 528–538, 2005.
Deng, H., and D. A. Clausi, "Gaussian MRF rotation-invariant features for image classification", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, pp. 951 - 955, 2004.
gaussian_mrf_rotation-invariant_features_for_sar_sea_ice_classification.pdf (629.04 KB)
Deng, H., and D. A. Clausi, "Gaussian MRF rotation-invariant features for image classification", IEEE transactions on pattern analysis and machine intelligence, vol. 26, no. 7: IEEE, pp. 951–955, 2004.
Deng, H., and D. A. Clausi, "Unsupervised image segmentation using a simple MRF model with a new implementation scheme", Pattern Recognition, vol. 37, pp. 2323–2335, 2004.
unsupervised_image_segmentation_using_a_simple_mrf_model_with_a_new_implementation_scheme.pdf (1.06 MB)
Deng, H., and D. A. Clausi, "Unsupervised image segmentation using a simple MRF model with a new implementation scheme", Pattern recognition, vol. 37, no. 12: Pergamon, pp. 2323–2335, 2004.
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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.
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.
Dulhanty, C., J. Callaghan, A. Wong, A. C. Cudlip, and C. R. Dickerson, "Quantifying supraspinatus tendon responses to exposures emulative of human physiological levels in an animal model", Journal of Biomechanics, vol. 122, issue 2, pp. 110476, 2021.
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.
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.
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.
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.
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.
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.
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.
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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.
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.
Eichel, J. A., D. D. Lee, A. Wong, P. W. Fieguth, D. A. Clausi, and K. K. Bizheva, "Despeckling vs averaging of retinal UHROCT tomograms: advantages and limitations", Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV, vol. 7889: International Society for Optics and Photonics, pp. 78893C, 2011.
Eichel, J. A., D. A. Clausi, and P. Fieguth, "Precise High Speed Multi-Target Multi-Sensor Local Positioning System", 2011 Canadian Conference on Computer and Robot Vision: IEEE, pp. 109–116, 2011.
Eichel, J. A., D. A. Clausi, and P. Fieguth, "Precise high-speed multi-target multi-sensor local positioning system", 8th Canadian Conference on Computer and Robot Vision, St. Johns, Newfoundland, 05/2011.
precise_high-speed_multi-target_multi-sensor_local_positioning_system.pdf (2.73 MB)
Eichel, J. A., D. Lee, A. Wong, P. Fieguth, D. A. Clausi, and K. Bizheva, "Quantitative comparison of despeckling and frame averaging approaches to processing retinal OCT tomograms", SPIE Photonics West (BiOS), 2011.
Eichel, J. A., K. Bizheva, D. A. Clausi, and P. Fieguth, "Automated 3D reconstruction and segmentation from optical coherence tomography", 11th European Conference on Computer Vision, Crete, Greece, 09/2010.
automated_3d_reconstruction_and_segmentation_from_optical_coherence_tomography.pdf (670.93 KB)
Eichel, J. A., K. K. Bizheva, D. A. Clausi, and P. W. Fieguth, "Automated 3D reconstruction and segmentation from optical coherence tomography", European Conference on Computer Vision: Springer, Berlin, Heidelberg, pp. 44–57, 2010.
Eichel, J. A., A. Mishra, D. A. Clausi, and P. Fieguth, "A novel algorithm for extraction of the layers of the cornea", 6th Canadian Conference on Computer and Robot Vision, Kelowna, British Columbia, Canada, 05/2009.
a_novel_algorithm_for_extraction_of_the_layers_of_the_cornea.pdf (5.27 MB)
Eichel, J., A. Mishra, P. Fieguth, D. A. Clausi, and K. Bizheva, "A novel algorithm for extraction of the layers of the cornea", Computer and Robot Vision, 2009. CRV'09. Canadian Conference on: IEEE, pp. 313–320, 2009.
Eichel, J., A. Mishra, P. Fieguth, D. Clausi, and K. Bizheva, "A novel algorithm for extraction of the layers of the cornea", 2009 Canadian Conference on Computer and Robot Vision: IEEE, pp. 313–320, 2009.
Eichel, A. J., A. Wong, P. Fieguth, and D. A. Clausi, "Robust Spectral Clustering using Statistical Sub-graph Affinity Model", Public Library of Science ONE, vol. 8, 2013.
Eichel, J. A., A. Wong, P. Fieguth, and D. A. Clausi, "Robust spectral clustering using statistical sub-graph affinity model", PloS one, vol. 8, no. 12: Public Library of Science, pp. e82722, 2013.
Eichel, J. A., Statistical Model-Based Corneal Reconstruction, Waterloo, ON, Canada, University of Waterloo, 2013.
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.
El-Hilo, S., G. Staples, T. Zagon, D. Isaacs, M. Arkett, D. Clausi, and C. Nadeau, "Classification and concentration estimation of Arctic sea ice using RADARSAT-2", ESASP, vol. 709, pp. 37, 2013.
El-Nabbout, N., J. S. Zelek, and D. A. Clausi, "Automatically detecting and tracking people walking through a transparent door with vision", 5th Canadian Conference on Computer and Robot Vision, Windsor, Ontario, Canada, 05/2008.
automatically_detecting_and_tracking_people_walking_through_a_transparent_door.pdf (1.03 MB)
El-Nabbout, N., "Video Tracking in Outdoor Environments Using 3D Models", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2008.
video_tracking_in_outdoor_environments_using_3d_models.pdf (2.65 MB)
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.
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.
Elkins, L., A. Buss, K. Lazarus, P. Angevine, C. Fanelli, N. Schaumburg, L. Keck, A. Del Bianco, and J. Lardy, "Dance and Data: Crossing Disciplines in Search of Common Methodology", Design Principles and Practices: An International Journal, vol. 2, no. 2, pp. 73–78, 2008.
Ersi, E. Fazl, and J. S. Zelek, "Local graph matching for face recognition", 2007 IEEE Workshop on Applications of Computer Vision (WACV'07): IEEE, pp. 3–3, 2007.
Ersi, E. Fazl, and J. S. Zelek, "Local feature matching for face recognition", The 3rd Canadian Conference on Computer and Robot Vision (CRV'06): IEEE, pp. 4–4, 2006.
Ersi, E. Fazl, and J. S. Zelek, "Rotation-invariant facial feature detection using gabor wavelet and entropy", International Conference Image Analysis and Recognition: Springer, Berlin, Heidelberg, pp. 1040–1047, 2005.
Ersi, E. Fazl, J. Zelek, and H. R. Abrishami, Face Detection Based on Information Theoretic Tools, Submitted.
Ersi, E. Fazl, and J. Zelek, ROBUST HUMAN SKIN DETECTION IN COMPLEX ENVIRONMENTS, Submitted.
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.
Esteghamatian, M., Z. Azimifar, P. Radau, and G. Wright, "Real time cardiac image registration during respiration: a time series prediction approach", Journal of Real-time Image Processing, 2011.
real_time_cardiac_image_registration_during_respiration_a_time_series_prediction_approach_2011.pdf (843.29 KB)
Euerby, A., M. Neiman, S. Swanson, C. Denis, B. Best, T. Gevaert, C. Wilson, P. Yu, and J. Zelek, "THE MAGLET–A NEW ELECTRICAL OUTLET FOR THE ELDERLY", Proceedings of the Fourth IASTED International Conference, vol. 619, no. 004, pp. 78, 2008.
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Fakih, A., and J. Zelek, "Extending filter-based structure from motion to large baselines", 2011 Canadian Conference on Computer and Robot Vision: IEEE, pp. 332–339, 2011.
Fakih, A. H., and J. S. Zelek, "Efficient Augmentation of the EKF Structure from Motion with Frame-to-Frame Features", 2010 Canadian Conference on Computer and Robot Vision: IEEE, pp. 47–54, 2010.
Fakih, A., and J. Zelek, "Determination of the essential matrix using discrete and differential matching constraints", 2009 IEEE Symposium on Computational Intelligence for Image Processing: IEEE, pp. 110–115, 2009.
Fakih, A., and J. Zelek, "Scalable near-optimal recursive structure from motion", 2009 Canadian Conference on Computer and Robot Vision: IEEE, pp. 23–30, 2009.
Fakih, A., and J. Zelek, On the benefits of using gyroscope measurements with structure from motion, 2008.
Fakih, A., and J. Zelek, "Structure from Motion: Combining features correspondences and optical flow", 2008 19th International Conference on Pattern Recognition: IEEE, pp. 1–4, 2008.
Fakih, A. H., and J. Zelek, "A factorized recursive estimation of structure and motion from image velocities", Fourth Canadian Conference on Computer and Robot Vision (CRV'07): IEEE, pp. 355–362, 2007.
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.
Fakih, A., S. Ng, and J. Zelek, "Improving GPS localization with vision and inertial sensing", Geomatica, vol. 63, no. 4: Canadian Science Publishing 65 Auriga Drive, Suite 203, Ottawa, ON K2E 7W6, pp. 383–396, 2009.
Fakih, A., and J. Zelek, Systems and methods for generating data indicative of a three-dimensional representation of a scene, 2016.
US Patent App. 14/911,152
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.
Fan, W., L. Hu, P. Falxa, Q. Wang, H. Liu, A. Wong, and KT. Ku, "Open Hole Multistage Completion Exceeds Production Expectations from South Sulige Gas Field in China", IPTC 2013: International Petroleum Technology Conference: European Association of Geoscientists & Engineers, pp. cp–350, 2013.
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.
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.
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.
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.
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.
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.
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.
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.
Fazl, E., and J. S. Zelek, "Region detection and description for Object Category Recognition", Fourth Canadian Conference on Computer and Robot Vision (CRV'07): IEEE, pp. 321–328, 2007.
Fazl-Ersi, E., and J. S. Zelek, "Local graph matching for object category recognition", Fourth Canadian Conference on Computer and Robot Vision (CRV'07): IEEE, pp. 73–80, 2007.
Fazl-Ersi, E., J. S. Zelek, and J. K. Tsotsos, "Robust face recognition through local graph matching", Journal of Multimedia, vol. 2, no. 5, pp. 31–37, 2007.
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 (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.
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.
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.
Fieguth, P., Statistical Image Processing and Multidimensional Modeling, 2010.
Fieguth, P., "Complex Systems", An Introduction to Complex Systems: Springer, Cham, pp. 245–269, 2017.
Fieguth, P., "Dynamic Systems", An Introduction to Complex Systems: Springer, Cham, pp. 41–65, 2017.
Fieguth, P., "Global warming and climate change", An Introduction to Complex Systems: Springer, Cham, pp. 5–12, 2017.
Fieguth, P., "Linear Systems", An Introduction to Complex Systems: Springer, Cham, pp. 67–96, 2017.
Fieguth, P., "Nonlinear Dynamic Systems: Uncoupled", An Introduction to Complex Systems: Springer, Cham, pp. 97–134, 2017.
Fieguth, P., "Observation and Inference", An Introduction to Complex Systems: Springer, Cham, pp. 271–308, 2017.
Fieguth, P., "Power Laws and Non-Gaussian Systems", An Introduction to Complex Systems: Springer, Cham, pp. 211–244, 2017.
Fieguth, P., "Spatial Systems", An Introduction to Complex Systems: Springer, Cham, pp. 169–210, 2017.
Fieguth, P., "Systems Theory", An Introduction to Complex Systems: Springer, Cham, pp. 13–39, 2017.
Fieguth, P., "Changes of Basis", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 241–290, 2011.
Fieguth, P., "Dynamic Estimation and Sampling", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 85–129, 2011.
Fieguth, P., "Hidden Markov Models", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 215–239, 2011.
Fieguth, P., "Image Processing", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 423–432, 2011.
Fieguth, P., "Kalman Filtering and Domain Decomposition", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 325–353, 2011.
Fieguth, P., "Linear Systems Estimation", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 293–324, 2011.
Fieguth, P., "Markov Random Fields", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 179–214, 2011.
Fieguth, P., "Multidimensional Modelling", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 133–177, 2011.
Fieguth, P., "Sampling and Monte Carlo Methods", Statistical Image Processing and Multidimensional Modeling: Springer, New York, NY, pp. 355–380, 2011.
Fieguth, P., W. Campaigne, and S. K. Alexander, "Frozen-State Hierarchical Annealing", Image Analysis and Recognition, vol. 4141, Heidelberg, Springer Berlin, pp. 41-52, 2006.
frozen-state_hierarchical_annealing.pdf (398.91 KB)
Fieguth, P., and J. Zhang, "Random field models", Handbook of Image and Video Processing: Academic Press, pp. 361–X, 2005.
Fieguth, P., and A. Bovik, Handbook of Image and Video Processing: Academic Press, 1999.
Fieguth, P., and P. Laplante, Comprehensive Dictionary of Electrical Engineering: CRC Press, 1998.
Fieguth, P., K. McBride, and D. A. Clausi, "Commercialization of tracking algorithms with Miovision", Geomatics for Informed Decisions Phase III Workshop, Montreal, Quebec, 2007.
Fieguth, P., and N. N Kachouie, "A model-based hematopoietic stem cell tracker", International Conference on Image Analysis and Recognition, 2005.
a_model_based_hematopoietic_stem_cell_tracker.pdf (163.14 KB)
Fieguth, P., "Hierarchical MCMC sampling", 2004 International Conference on Image Analysis and Recognition, 2004.
hierarchical_mcmc_sampling.pdf (307.97 KB)
Fieguth, P., "Hierarchical MCMC sampling", International Conference Image Analysis and Recognition: Springer, Berlin, Heidelberg, pp. 114–121, 2004.
Fieguth, P., and S. K. Alexander, "Parameterized hierarchical annealing for scientific models", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004.
parameterized_hierarchical_annealing_for_scientific_models.pdf (193.14 KB)
Fieguth, P., "Phase-based methods for Fourier shape matching", 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, 2004.
phase_based_methods_for_fourier_shape_matching.pdf (381.34 KB)
Fieguth, P., P. Bloore, and A. Domsa, "Phase-based methods for Fourier shape matching", 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3: IEEE, pp. iii–425, 2004.
Fieguth, P., "Hierarchical posterior sampling for Gauss-Markov random fields", 2003 International Conference on Image Processing, 2003.
hierarchical_posterior_sampling_for_gauss-markov_random_fields.pdf (330.69 KB)
Fieguth, P., "Hierarchical posterior sampling for images and random fields", ICIP '03, Spain, 2003.
hierarchical_posterior_sampling_for_images_and_random_fields.pdf (460.73 KB)
Fieguth, P., "Hierarchical posterior sampling for images and random fields", Proceedings 2003 International Conference on Image Processing (Cat. No. 03CH37429), vol. 1: IEEE, pp. I–821, 2003.
Fieguth, P., D. Menemenlis, and I. Fukumori, "Mapping and pseudo-inverse algorithms for data assimilation", IEEE International Geoscience and Remote Sensing Symposium, vol. 6: IEEE, pp. 3221–3223, 2002.
Fieguth, P., and S. Wesolkowski, "Highlight and shading invariant color image segmentation using simulated annealing", Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2001), Sophia Antipolis, France, 2001.
highlight_and_shading_invariant_color_image_segmentation_using_simulated_annealing.pdf (262.4 KB)
Fieguth, P., and S. Wesolkowski, "Highlight and shading invariant color image segmentation using simulated annealing", International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition: Springer, Berlin, Heidelberg, pp. 314–327, 2001.
Fieguth, PW., and MA. Polak, "Computer Vision Techniques for Inspection of Pipes", Computing in Civil and Building Engineering: Proceedings of the Eighth International Conference: August 14-16, 2000, Stanford University, Stanford, California: Amer Society of Civil Engineers, pp. 418, 2000.
Fieguth, P., F. M. Khellah, M. J. Murray, and M. R. Allen, "Data fusion of sea-surface temperature data", IEEE Geoscience and Remote Sensing Society, 2000.
data_fusion_of_sea-surface_temperature_data.pdf (368.71 KB)
Fieguth, PW., FM. Khellah, MJ. Murray, and MR. Allen, "Data fusion of sea-surface temperature data", 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. 5: IEEE, pp. 2111–2113, 2000.
Fieguth, P., and R. Wan, "Fast retrieval methods for images with significant variations", International Conference on Image Processing, 2000.
fast_retrieval_methods_for_images_with_significant_variations.pdf (317.38 KB)
Fieguth, P. W., and R. Wan, "Fast retrieval methods for images with significant variations", Proceedings 2000 International Conference on Image Processing (Cat. No. 00CH37101), vol. 2: IEEE, pp. 522–525, 2000.
Fieguth, P., and S. K. Sinha, "Automated analysis and detection of cracks in underground scanned pipes", International Conference on Image Processing, 1999.
automated_analysis_and_detection_of_cracks_in_underground_scanned_pipes.pdf (417.21 KB)
Fieguth, P. W., and S. K. Sinha, "Automated analysis and detection of cracks in underground scanned pipes", Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), vol. 4: IEEE, pp. 395–399, 1999.
Fieguth, P., "Foveated multiscale models for large-scale estimation", International Conference on Image Processing, 1999.
Fieguth, P. W., "Foveated multiscale models for large-scale estimation", Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), vol. 2: IEEE, pp. 871–874, 1999.
Fieguth, P., F. M. Khellah, M. J. Murray, and M. R. Allen, "Large scale dynamic estimation of ocean surface temperature", IEEE Geoscience and Remote Sensing Symposium, 1999.
large_scale_dynamic_estimation_of_ocean_surface_temperature.pdf (479.5 KB)
Fieguth, P. W., FM. Khellah, MJ. Murray, and MR. Allen, "Large scale dynamic estimation of ocean surface temperature", IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No. 99CH36293), vol. 3: IEEE, pp. 1826–1828, 1999.
Fieguth, P., "Global-Scale Three-Dimensional Statistical Estimation", IEEE MDSP '98, Alpbach, Austria, 1998.
global-scale_three-dimensional_statistical_estimation.pdf (1.77 MB)
Fieguth, P., M. R. Allen, and M. J. Murray, "Hierarchical methods for global-scale estimation problems", IEEE Canadian Conference on Electrical and Computer Engineering, Waterloo, Canada, 1998.
hierarchical_methods_for_global_scale_estimation_problems.pdf (451.19 KB)
Fieguth, P. W., MR. Allen, and MJ. Murray, "Hierarchical methods for global-scale estimation problems", Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No. 98TH8341), vol. 1: IEEE, pp. 161–164, 1998.
Fieguth, P., "Multipole-motivated reduced-state estimation", International Conference on Image Processing, Chicago, 1998.
multipole_motivated_reduced_state_estimation.pdf (708.72 KB)
Fieguth, P. W., "Multipole-motivated reduced-state estimation", Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No. 98CB36269), vol. 1: IEEE, pp. 635–638, 1998.
Fieguth, P., M. J. Murray, and M. R. Allen, "Optimal interpolation and statistical analysis of SST fields from ATSR", European Geophysical Society Meeting, Nice, France, 1998.
Fieguth, P., and D. Terzopoulos, "Color-based tracking of heads and other mobile objects at video frame rates", 1997 Conference on Computer Vision and Pattern Recognition, Puerto Rico, 1997.
color_based_tracking_of_heads_and_other_mobile_objects_at_video_frame_rates.pdf (964.68 KB)
Fieguth, P., and D. Terzopoulos, "Color-based tracking of heads and other mobile objects at video frame rates", Proceedings of IEEE computer society conference on computer vision and pattern recognition: IEEE, pp. 21–27, 1997.
Fieguth, P., A. S. Willsky, D. Menemenlis, and C. Wunsch, "A general multiresolution approach to the estimation of dense fields in remote sensing", International Conference on Image Processing, Lausanne, Switzerland, 1996.
a_general_multiresolution_approach_to_the_estimation_of_dense_fields_in_remote_sensing.pdf (331.11 KB)
Fieguth, P. W., A. S. Willsky, D. Menemenlis, and C. I. Wunsch, "A general multiresolution approach to the estimation of dense fields in remote sensing", Proceedings of 3rd IEEE International Conference on Image Processing, vol. 2: IEEE, pp. 609–612, 1996.
Fieguth, P., W. W. Irving, and A. S. Willsky, "Multiresolution model development for overlapping trees via canonical correlation analysis", International Conference on Image Processing, 1995.
multiresolution_model_development_for_overlapping_trees_via_canonical_correlation_analysis.pdf (946.64 KB)
Fieguth, P. W., W. W. Irving, and A. S. Willsky, "Multiresolution model development for overlapping trees via canonical correlation analysis", Proceedings., International Conference on Image Processing, vol. 1: IEEE, pp. 45–48, 1995.
Fieguth, P., and A. S. Willsky, "Multiresolution models for fractals and their uses in statistical signal and image processing", IEEE Conference on Nonlinear Signal and Image Processing, Greece, 1995.
Fieguth, P., W. C. Karl, and A. S. Willsky, "Multiresolution statistical analysis and assimilation of large ocean data sets", 20th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1995.
Fieguth, P. Werner, W. Clement Karl, and A. S. Willsky, "Multiresolution statistical analysis and assimilation of large ocean data sets", 1995 International Conference on Acoustics, Speech, and Signal Processing, vol. 5: IEEE, pp. 2781–2784, 1995.
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Fieguth, P. W., W. C. Karl, and A. S. Willsky, "Multiresolution stochastic processing of Topex/Poseidon oceanographic altimetry", Proceedings of OCEANS'94, vol. 1: IEEE, pp. I–851, 1994.
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Fieguth, P., D. Menemenlis, and I. Fukumori, "Mapping and pseudo-inverse algorithms for data assimilation", IEEE International Geoscience and Remote Sensing Symposium, vol. 6, pp. 3221 - 3223, 2002.
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Fieguth, P. W., and SK. Sinha, "Development of an automated pipeline inspection system", Underground Infrastructure Research: Municipal, Industrial and Environmental Applications, pp. 279–285, 2001.
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Fieguth, P., D. Menemenlis, T. Ho, A. Willsky, and C. Wunsch, "Mapping Mediterranean altimeter data with a multiresolution optimal interpolation algorithm", Journal of Atmospheric and Oceanic Technology, vol. 15, no. 2, pp. 535–546, 1998.
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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.
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Glaister, J., A. Cameron, A. Wong, and M. Haider, "Quantitative Investigative Analysis of Tumour Separability in the Prostate Gland using Ultra-high b-value Computed Diffusion Imaging", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology, 2012.
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Glaister, J., A. Cameron, A. Wong, and M. A. Haider, "Quantitative investigative analysis of tumour separability in the prostate gland using ultra-high b-value computed diffusion imaging", 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society: IEEE, pp. 420–423, 2012.
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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.
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.
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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.