AIMI Journal Club: Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks - Evan Calabrese, MD, PhD
Calabrese, E., Rudie, J.D., Rauschecker, A.M., Villanueva-Meyer, J.E., Cha, S. Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-Dimensional Fully Convolutional Neural Networks. Radiology: Artificial Intelligence.(2021). https://doi.org/10.1148/ryai.2021200276
Dr. Evan Calabrese, MD, PhD is a physician scientist and current clinical fellow in the Division of Neuroradiology and Department of Radiology & Biomedical Imaging at the University of California San Francisco. Dr. Calabrese's research is focused on the use of innovative automated image processing techniques, including artificial intelligence, to help extract clinically useful information from multimodal neuroimaging data. During his training at UCSF, Dr. Calabrese has led several artificial intelligence projects focused on topics including automated image segmentation, image synthesis, and radiogenomic inference.