Matthew Brown, PhD
Professor and Director, UCLA Center for Computer Vision and Imaging Biomarkers (CVIB)
Matthew Brown received his PhD in Computer Science from the University of New South Wales. He is Professor and Director of the UCLA Center for Computer Vision and Imaging Biomarkers. For over 20 years, Dr. Brown has been researching knowledge based AI in combination with neural networks to increase real-world reliability. He is the instructor of the UCLA graduate course in Computer Vision in Medical Imaging and a co-founder of MedQIA, a company that applies AI in clinical trials. He was a co-organizer of the MICCAI Workshop on Pulmonary Image Analysis.
Youngwon Choi, PhD
Postdoctoral Fellow, UCLA Computer Vision and Imaging Biomarkers (CVIB)
Youngwon Choi received her PhD in Statistics from Seoul National University. She is a postdoctoral fellow in UCLA Radiology working on robust AI for medical image analysis, deep generative models, and Human-AI interactions. Dr. Choi has received two 1st prizes in the MICCAI ISLES segmentation challenge (2016, 2017).
Jonathan Goldin, MD PhD
Professor and Executive Vice Chair, UCLA Radiology
Jonathan Goldin received his MD and PhD degrees from the University of Cape Town. He is Professor of Radiology at UCLA and the Executive Vice Chair of Clinical Operations. Dr. Goldin is a practicing radiologist with extensive experience integrating AI into clinical practice and a co-founder of MedQIA.
William Hsu, PhD
Associate Professor of Radiology and Bioengineering, UCLA Medical & Imaging Informatics
Dr. Hsu is an Associate Professor in UCLA Depts of Radiology, Bioinformatics, and Bioengineering and directs a course on Medical Decision Making. His research focuses on integrating data from multiple sources and biological scales to enhance the performance and trustworthiness of clinical prediction models. He serves as a deputy editor for Radiology: Artificial Intelligence.
John Hoffman, PhD
Adjunct Faculty, UCLA Computer Vision and Imaging Biomarkers (CVIB)
John Hoffman completed his PhD at UCLA in biomedical physics and spends much of his time thinking about the intersection of research and the software tools used therein. His research interests include CT image reconstruction, high-performance computing, and the clinical translation of quantitative imaging biomarkers.
M. Wasil Wahi-Anwar, MS
PhD Candidate, UCLA Computer Vision and Imaging Biomarkers (CVIB)
M. Wasil Wahi-Anwar is a PhD student at UCLA Biomedical Physics, working at the intersection of medical imaging, physics, and computer vision. He was awarded the Cota-Robles Fellowship for underrepresented PhD scholars and earned Honorable Mention for the National Science Foundation (NSF) Fellowship (2016).