Data Science

Learn how CBB researchers are using Data Science:

CBB Researchers

Stories

Press/Media

  • "Emotional AI and Alzheimer’s Disease," , Jesse Hoey, September 8, 2017
  • "Current work to detect the early signs of Alzheimer's disease," , Jesse Hoey, September 8, 2017
  • "Creature comforts: robotic animals in the care of dementia patients," , Jesse Hoey, September 8, 2017
  • "The complex issue of emotion," , Jesse Hoey, September 8, 2017
  • "Smart living: the DIY Smart Home project," , Jesse Hoey, September 8, 2017
  • "Objective image quality assesment, what's beyond," , Zhou Wang, November 18, 2015
  • "Socio-emotional alignment for cognitive assistive technologies,", Jesse Hoey, October 20, 2015
  • "BIG data, medical imaging and machine intelligence," , Hamid Tizhoosh, January 21, 2015
  • "Medical imaging: Pixels, consensus and learning," , Hamid Tizhoosh, October 1, 2014
  • "Integrative systems for biomedical imaging and analysis," , 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. InÌý
  • 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.Ìý
  • Haider, S. A., Tran, M. Y., & Wong, A. (2018, February). Computational circular dichroism estimation for point-of-care diagnostics via vortex half-wave retarders. InÌý
  • 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.Ìý’
  • 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.Ìý
  • Doxey, A. C., Mansfield, M. J., & Montecucco, C. (2018). Discovery of novel bacterial toxins by genomics and computational biology.Ìý
  • Arami, A., Saint Raymond, N., & Aminian, K. (2017). An Accurate Wearable Foot Clearance Estimation System: Toward a Real-Time Measurement System.Ìý
  • 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. InÌý
  • Yevick, D., & Lee, Y. H. (2018). Transition Matrix Cluster Algorithms.Ìý
  • Tong, M., & Yevick, D. (2018). Multicanonical Monte Carlo evaluation of drag probability distribution functions.Ìý
  • Jaini, P., Chen, Z., Carbajal, P., Law, E., Middleton, L., Regan, K., ... & Poupart, P. (2016).
  • Haider, F., & Shaker, G. (2017, July). Wearable-free wireless fall detection system. InÌý
  • 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. InÌý
  • Tizhoosh, H. R. (2017).Ìý
  • Du, Y., Budman, H., & Duever, T. (2017). Robust self-tuning control under probabilistic uncertainty using generalized polynomial chaos models
  • Du, Y., Budman, H., & Duever, T. A. (2017). Comparison of stochastic fault detection and classification algorithms for nonlinear chemical processes.Ìý
  • Kumar, D., & Budman, H. (2017). Applications of Polynomial Chaos Expansions in optimization and control of bioreactors based on dynamic metabolic flux balance models.Ìý
  • Gorovoy, K., Tung, J., & Poupart, P. (2018). Automatic speech feature extraction for cognitive load classification.Ìý
  • Hunsberger, E., Osorio, V. R., Orchard, J., & Tripp, B. P. (2017). Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation.Ìý
  • Khan, S. S., Karg, M. E., Kulić, D., & Hoey, J. (2017). Detecting falls with X-factor hidden Markov models.Ìý
  • Shang, Z., Joshi, J., & Hoey, J. (2017, September). Continuous facial expression recognition for affective interaction with virtual avatar.
  • Shafiee, M. J., Wong, A., & Fieguth, P. (2017). Deep randomly-connected conditional random fields for image segmentation.Ìý
  • Shafiee, M. J., Siva, P., Fieguth, P., & Wong, A. (2017). Real-Time Embedded Motion Detection via Neural Response Mixture Modeling.Ìý