Análisis de imagen médica basado en características invariantes: una visión general

William Wells is Professor of Radiology at Harvard Medical School and Brigham and Women's Hospital (BWH), a research scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), and a member of the affiliated faculty of the Harvard-MIT division of Health Sciences and Technology (HST). He received a Ph.D. in computer vision from MIT in 1992 under the supervision of Professor Grimson, and since that time has pursued research in medical image understanding at the BWH Surgical Planning Laboratory, much of it in collaboration with MIT graduate students. Prof. Wells periodically teaches the medical image processing component of HST-582, Biomedical Signal and Image Processing. He is widely known for his ground-breaking work on segmentation of MRI and for his work on multi-modality registration by maximization of Mutual Information, for which he and Paul Viola received the IEEE ICCV Helmholtz "test of time" award.