Data Science

CBB Researchers

CBB Researchers: Data Science

Stories

"Disrupting traditional models of health care," Waterloo Magazine, Helen Chen, Plinio Morita, Fall 2017
"Waterloo software improves care for kidney patients," Waterloo Stories, Helen Chen, July 10, 2017
"Artificial intelligence-driven imaging research makes diagnosing disease easier," Waterloo News, Alex Wong, June 7, 2017
"Artificial intelligence and the Waterloo-Toronto tech supercluster," Waterloo Stories, Alex Wong, January 28, 2017
"Breakthrough tech helps doctors more accurately diagnose cancer," Waterloo Stories, Alex Wong, May 20, 2016
"Data management in health care," CBB researcher story, Helen Chen, July 21, 2015
"Computational perception: How a brain understands its environment," CBB researcher story, Jeff Orchard, July 20, 2015
"CIHR-NSERC grant awarded to CS professor," Computer Science News, Edith Law, May 1, 2015
"Making it harder for cancer to hide," Waterloo Stories, Hamid Tizhoosh, Alex Wong, January 9, 2013
"Improving early diagnosis to save lives," CBB researcher story, Alex Wong, January 9, 2013

Press/Media

"Emotional AI and Alzheimer’s Disease," Youtube, Jesse Hoey, September 8, 2017
"Current work to detect the early signs of Alzheimer's disease," Youtube, Jesse Hoey, September 8, 2017
"Creature comforts: robotic animals in the care of dementia patients," Youtube, Jesse Hoey, September 8, 2017
"The complex issue of emotion," Youtube, Jesse Hoey, September 8, 2017
"Smart living: the DIY Smart Home project," Youtube, Jesse Hoey, September 8, 2017
"Objective image quality assesment, what's beyond," Youtube Lecture, Zhou Wang, November 18, 2015
"Socio-emotional alignment for cognitive assistive technologies,"Youtube Lecture, Jesse Hoey, October 20, 2015
"BIG data, medical imaging and machine intelligence," YouTube Lecture, Hamid Tizhoosh, January 21, 2015
"Medical imaging: Pixels, consensus and learning," YouTube Lecture, Hamid Tizhoosh, October 1, 2014
"Integrative systems for biomedical imaging and analysis," YouTube Lecture, Alex Wong, October 1, 2014

Publications by CBB Researchers

Adel, T., Zhao, H., & Wong, A. (2017). Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption. In AAAI (pp. 1691-1697).
Elhalawani, H., Mohamed, A. S., White, A. L., Zafereo, J., Wong, A. J., Berends, J. E., ... & Perni, S. (2017). Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges. Scientific data, 4, 170077.
Haider, S. A., Tran, M. Y., & Wong, A. (2018, February). Computational circular dichroism estimation for point-of-care diagnostics via vortex half-wave retarders. In Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics (Vol. 10501, p. 1050108). International Society for Optics and Photonics.
Li, F., Clausi, D. A., Xu, L., & Wong, A. (2018). ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 56(1), 3-16.’
Mohamed, A. S., Wong, A. J., Fuller, C. D., Kamal, M., Gunn, G. B., Phan, J., ... & Quinlan-Davidson, S. R. (2017). Patterns of locoregional failure following post-operative intensity-modulated radiotherapy to oral cavity cancer: quantitative spatial and dosimetric analysis using a deformable image registration workflow. Radiation Oncology, 12(1), 129.
Doxey, A. C., Mansfield, M. J., & Montecucco, C. (2018). Discovery of novel bacterial toxins by genomics and computational biology. Toxicon.
Arami, A., Saint Raymond, N., & Aminian, K. (2017). An Accurate Wearable Foot Clearance Estimation System: Toward a Real-Time Measurement System. IEEE Sensors Journal, 17(8), 2542-2549.
Arami, A., Tagliamonte, N. L., Tamburella, F., Huang, H. Y., Molinari, M., & Burdet, E. (2017, July). A simple tool to measure spasticity in spinal cord injury subjects. In Rehabilitation Robotics (ICORR), 2017 International Conference on (pp. 1590-1596). IEEE.
Yevick, D., & Lee, Y. H. (2018). Transition Matrix Cluster Algorithms. arXiv preprint arXiv:1803.10907.
Tong, M., & Yevick, D. (2018). Multicanonical Monte Carlo evaluation of drag probability distribution functions. Physics of Fluids, 30(3), 033605.
Jaini, P., Chen, Z., Carbajal, P., Law, E., Middleton, L., Regan, K., ... & Poupart, P. (2016). Online Bayesian Transfer Learning for Sequential Data Modeling.
Haider, F., & Shaker, G. (2017, July). Wearable-free wireless fall detection system. In Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2017 IEEE International Symposium on (pp. 2457-2458). IEEE.
Babaie, M., Kalra, S., Sriram, A., Mitcheltree, C., Zhu, S., Khatami, A., ... & Tizhoosh, H. R. (2017, May). Classification and Retrieval of Digital Pathology Scans: A New Dataset. In CVMI Workshop@ CVPR.
Tizhoosh, H. R. (2017). U.S. Patent Application No. 15/274,351.
Du, Y., Budman, H., & Duever, T. (2017). Robust self-tuning control under probabilistic uncertainty using generalized polynomial chaos models. IFAC-PapersOnLine, 50(1), 3524-3529.
Du, Y., Budman, H., & Duever, T. A. (2017). Comparison of stochastic fault detection and classification algorithms for nonlinear chemical processes. Computers & Chemical Engineering, 106, 57-70.
Kumar, D., & Budman, H. (2017). Applications of Polynomial Chaos Expansions in optimization and control of bioreactors based on dynamic metabolic flux balance models. Chemical Engineering Science, 167, 18-28.
Gorovoy, K., Tung, J., & Poupart, P. (2018). Automatic speech feature extraction for cognitive load classification. CMBES Proceedings, 33(1).
Hunsberger, E., Osorio, V. R., Orchard, J., & Tripp, B. P. (2017). Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access, 5, 11645-11657.
Khan, S. S., Karg, M. E., Kulić, D., & Hoey, J. (2017). Detecting falls with X-factor hidden Markov models. Applied Soft Computing, 55, 168-177.
Shang, Z., Joshi, J., & Hoey, J. (2017, September). Continuous facial expression recognition for affective interaction with virtual avatar. In Image Processing (ICIP), 2017 IEEE International Conference on (pp. 1995-1999). IEEE.
Shafiee, M. J., Wong, A., & Fieguth, P. (2017). Deep randomly-connected conditional random fields for image segmentation. IEEE Access, 5, 366-378.
Shafiee, M. J., Siva, P., Fieguth, P., & Wong, A. (2017). Real-Time Embedded Motion Detection via Neural Response Mixture Modeling. Journal of Signal Processing Systems, 1-16.

CBB Researchers

Stories

Press/Media

Publications by CBB Researchers

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