Dr. Xiaofeng Liu is a research fellow at the Beth Israel Deaconess Medical Center, Harvard Medical School and a visiting researcher at the Montréal Institute of Learning Algorithm. He works on general deep learning theory in the computer vision domain and their application to robust inference system and medical diagnosis. He was a joint supervision […]
Category: Recent Seminars
Gordon Lecture: Quantitative PET – Motion Correction, Dose Reduction, and Deep Learning
Dr. Chi Liu is an Associate Professor at Yale University Department of Radiology and Biomedical Engineering. He received his Ph.D. in 2008 from Johns Hopkins University with emphasis on quantitative SPECT/CT imaging. Following his graduate work, he was a postdoctoral fellow at University of Washington, specializing in oncological PET/CT studies with emphasis on compensation algorithms for respiratory […]
Gordon Lecture: Deep Learning in CT Image Reconstruction
Dr. Chen is a Professor of Medical Physics and Radiology at the Univ. of Wisconsin-Madison. He received his BS degree in physics from Beijing Normal Univ. in 1991, a Master’s Degree in mathematics from Nankai Univ. in 1995, and a PhD in semiconductor physics from the Univ. of Utah in 2000. He published extensively in […]
Gordon Lecture: Partners Innovation
Dr. Felipe Morais is responsible for managing and licensing technologies arising from BWH Radiology, MGH Radiology, MGH Molecular Imaging, and MGH Nuclear Medicine. Dr Morais was trained as a Radiologist, completing medical school, residency and an MS degree at the Federal University of Rio de Janeiro (Brazil). He also holds an MBA from Babson College. Below is […]
Gordon Lecture: Deep Generative Models for Image Translation
Dr. Harry Yang is currently a Research Scientist at Facebook AI. He received his PhD in computer science at University of Southern California. His research interests are deep generative models and their computer vision applications, such as image inpainting, image translation and human retargeting. Below is a summary of his presentation In this talk, Dr. Yang […]
Gordon Lecture: Methodology Development with Carbon-11 and Fluorine-18 for PET Applications
So Jeong Lee is currently a postdoctoral fellow at PET center in the Department of Radiology at the University of Michigan working with Prof. Peter J. H. Scott. She obtained her B.S and B.E in Chemistry and Material Science at SUNY Stony Brook University in 2010 and her Ph.D in Chemistry from Stony Brook University […]
Gordon Lecture: Deep Learning MR Reconstruction from Missing Data
Jong Chul Ye is currently KAIST Endowed Chair Professor and Professor of the Dept. of Bio/Brain Engineering and Adjunct Professor at Dept. of Mathematical Sciences of Korea Advanced Institute of Science and Technology (KAIST), Korea. He received the B.Sc. and M.Sc. degrees from Seoul National University, Korea, and the Ph.D. from Purdue University, West Lafayette.Below is […]
Gordon Lecture: Machine Learning for Real-time High-quality Biomedical Imaging
Leslie Ying is currently a Professor of Biomedical Engineering and Electrical Engineering at the University at Buffalo, SUNY. She received her B.E. in Electronics Engineering from Tsinghua University, China in 1997 and both her M.S. and Ph.D. in Electrical Engineering from the University of Illinois at Urbana – Champaign in 1999 and 2003, respectively.Below is […]