Since joining the Department of Radiology at Massachusetts General Hospital in 2019, Teppei Matsubara has worked under Dr. Steven Stufflebeam at the Martinos Center, where he applies his expertise as a board-certified neurosurgeon and epileptologist to clinical neuroimaging, particularly with MEG...
Search Results: Cardiovascular Disease / Disorders
Sheraz Khan
Dr. Sheraz Khan is an Instructor (Research Faculty) at Massachusetts General Hospital (MGH), Harvard Medical School and Massachusetts Institute of Technology (MIT). He has developed novel signal processing methods for understanding neural underpinnings of autism. His publications, including Khan ...
Xue-Jun (June) Kong
Xue-Jun (June) Kong, M.D. Principal Investigator and Director of Synapse Autism program at Martinos Center/Mass General Hospital, Principal Investigator and Attending Physician at Beth Israel Deaconess Medical Center, Assistant Professor of Harvard Medical School. She leads her Autism research te...
Dania Daye
Dania Daye, MD, PhD is an Assistant Professor of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School. She is the co-director of IR Research at MGH and Director of the Precision Interventional and Medical Imaging (PIMI) Research Group. Her research centers around the appli...
Adrian Dalca
Adrian V. Dalca is an Assistant Professor at A.A. Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, and Research Scientist at CSAIL, MIT. He obtained his PhD from CSAIL, MIT. His research focuses on developing new machine learning techniques and probabilistic models to analyze ...
Andre van der Kouwe
Dr. van der Kouwe does research in the field of MRI pulse sequence design and image analysis. He supports neuroscience research at the MGH and collaborating institutions by improving acquisition methods, providing techniques such as high-reliability imaging for quantitative brain morphometry with...
Jerome Ackerman
Jerome Ackerman, PhD, has conducted research in magnetic resonance for over 45 years, and has led the solid-state MR program at MGH for over 30 years. As of May, 2019, his work (over 100 peer-reviewed journal articles, reviews, chapters and patents; over 200 abstracts) has been cited 5048 times (...
Randy Buckner
Randy Buckner, PhD, is the Sosland Family Professor of Psychology and of Neuroscience at Harvard University affiliated with the Center for Brain Science and Director of the Psychiatric Neuroimaging Research Division at the Massachusetts General Hospital. He has been faculty of the Athinoula A. Ma...
Giorgio Bonmassar
The unifying theme of Dr. Bonmassar's academic career has been the basic science development and pre-clinical testing of novel methods for performing MRI/CT compatible neuro-electrophysiological measurements and stimulations. Specifically, his major goals have been both to improve the healthcare ...
Caroline Magnain
Dr. Magnain is an assistant professor in Radiology at Harvard Medical School and assistant in physics at Massachusetts General Hospital in Boston. Throughout her career, she has strived to apply optical imaging to various domains, from cultural heritage to the biomedical science, and has develope...
Douglas Greve
Douglas Greve, PhD, has a passion for delivering cutting-edge tools to the neuroscience community. He joined the FreeSurfer team 20 years ago and has been developing neuroimaging software ever since. His career has offered him an exciting mixture of engineering, physics, software development and ...
Anastasia Yendiki
Dr. Anastasia Yendiki's background is in statistical signal and image processing. She received a PhD in Electrical Engineering: Systems from the University of Michigan at Ann Arbor, where she worked on inverse problems in tomographic reconstruction for nuclear imaging under the supervision of Jef...
Jian (Andrew) Li
Jian (Andrew) Li is an Instructor at the A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School. His research interests lie in the application of statistical signal and image processing and machine learning theory to modeling and analysis of neuroi...