Dr. Paul Youping Xiao of Bristol Meyers Squibb will give a virtual colloquium talk on Friday, November 5, from 12:30 – 1:30 PM. Dr. Xiao has done extensive research in brain imaging and has pioneered the application of machine learning to the analysis of intrinsic optical imaging.
See below for more information about Dr. Xiao and the links for the event.
Abstract: Target segmentation is a crucial step in the analysis of biomedical images. Recent advances in deep learning have enabled automation of semantic and instance segmentations. At BMS we have applied the U-Net neural network and its variant to the segmentation of various targets in microscopic images with a sub-cellular resolution. The automated and consistent segmentations enable quantitative analyses of drug occupancy, T-cell infiltration and other metrics important for the development of novel drugs. The application of U-Net to analyzing biomedical images of various modalities will also be discussed.
Speaker Bio: Paul Youping Xiao has a bachelor’s degree in electronics, a master’s degree in physiology, and PhD in neuroscience. He has extensive experience in brain imaging including the discovery of color maps in the primate visual cortex. He pioneered the application of machine learning to the analysis of intrinsic optical imaging. At BMS he is leading the effort of automating high-content imaging with artificial intelligence.
Zoom Meeting (ID: 941 0711 6653/ Password: d7dnMrs5)