The RAIL group includes physicians, engineers, and scientist from across Johns Hopkins University who are working to advance the field of artificial intelligence in imaging informatics.
Ferdinand Hui, MD
Dr. Ferdinand Hui is Associate Professor of Radiology and Radiological Science in the Johns Hopkins Medicine Neuroradiology division. Dr. Hui received his MD from University of Virginia School of Medicine He completed his residencies at Ronald Reagan UCLA Medical Center and Virginia Commonwealth University Health System and performed a fellowship in Diagnostic Neuroradiology and Interventional Neuroradiology at Emory University School of Medicine.
Paul Yi, MD
Paul Yi is Resident Physician in Radiology at Johns Hopkins University School of Medicine. Dr. Yi received his BA in Medical Sciences (Summa Cum Laude) and MD from Boston University through the Seven-Year Accelerated Medical Program. Dr. Yi’s current research interests include the development and application of artificial intelligence and deep learning towards medical imaging applications, with particular interest in neuroradiology and musculoskeletal radiology.
Haris Sair, MD
Dr. Haris Sair is an Associate Professor in the Johns Hopkins Medicine Department of Radiology and Radiological Science, and the Director of the Division of Neuroradiology. His areas of clinical expertise include functional Magnetic Resonance Imaging (fMRI) of the brain. Dr. Sair earned his M.D. from Duke University School of Medicine. He completed his residency at Temple University Medical Center and performed a fellowship in neuroradiology at Massachusetts General Hospital in Boston, MA.
Mathias Unberath, PhD
Mathias Unberath is an Assistant Research Professor in the Department of Computer Science at Johns Hopkins University, affiliated with the Laboratory for Computational Sensing and Robotics and the Malone Center for Engineering in Healthcare. His research consolidates efforts in computer vision, medical physics, and medicine to develop surgeon-centric, end-to-end computer-assisted solutions for image-guided surgery.
Gregory D. Hager, PhD
Gregory D. Hager is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University, and holds joint appointments in the Department of Electrical and Computer Engineering and the Department of Mechanical Engineering. Hager is known for his research on collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics. He has published more than 300 articles and books on these topics. Hager is the founding director of the Johns Hopkins Malone Center for Engineering in Healthcare, an interdisciplinary research center aimed at developing innovative healthcare technology and systems.
Craig Jones, PhD
Dr. Craig Jones is a Research Scientist in the Malone Center for Engineering in Healthcare. He has an undergraduate degree in Mathematics and Computing Science and a PhD in Physics (Medical Physics). He has over 25 years experience in medical image processing (primary focus in MRI), data fitting and data science. His current work is in artificial intelligence and neural network image processing of MRI, CT, OCT datasets (both 2D and 3D) with classification, regression and segmentation projects.