Dr. Kalpathy-Cramer is an Associate Professor of Radiology at Harvard Medical School, Co-Director of the QTIM lab and the Center for Machine Learning at the Athinoula A. Martinos Center and Scientific Director at the MGH & BWH Center for Clinical Data Science. Her research areas include machi...
Search Results: Deep Learning
Christopher Bridge
Dr Bridge is trained as an engineer, with MEng (Distinction) and DPhil degrees from the University of Cambridge and University of Oxford, respectively. He has worked in the area of medical image analysis for nearly a decade. His work on his doctoral thesis involved the development of a system for...
Fang Liu
Fang Liu is the Director of the Intelligent Imaging Innovation and Translation Lab at Athinoula A. Martinos Center for Biomedical Imaging and Assistant Professor of Radiology at Harvard Medical School. His research focuses on medical image acquisition and reconstruction, image analysis and proces...
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 ...
Malte Hoffmann
Malte Hoffmann is a faculty member in Radiology at Harvard Medical School and Affiliated Faculty in the Health Sciences and Technology Division at MIT. He received a Bachelor’s degree in physics from the University of Paris XI and a Master’s degree and PhD from the University of Cambridge, specia...
Matthew Rosen
Dr. Matt Rosen is a physicist, tool-builder and inventor whose research bridges the spectrum from fundamental physics to applied bioimaging work in the field of MRI. He established the Low-Field MRI and Hyperpolarized Media Laboratory at the Athinoula A. Martinos Center for Biomedical Imaging to ...
Jessie Fang-Lu Fu
Dr. Jessie Fang-Lu Fu's research focuses on the translational application of multimodal neuroimaging, Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI), and machine learning in neurodegenerative disorders. Her main research interests include (i) evaluating the capability of ...
Ona Wu
The research goals of Dr. Wu's group are to improve the diagnosis, prognosis and management of patients with brain injury by quantifying and monitoring injury or recovery on an individual patient basis. The group focuses particularly on stroke, cardiac arrest and traumatic brain injury. Predictin...
Martin Reuter
Dr. Martin Reuter is an Assistant Professor of Radiology and of Neurology at Harvard Medical School and the Massachusetts General Hospital (Assistant in Neuroscience, Dept. of Radiology and Dept. of Neurology). He is affiliated with the Martinos Center for Biomedical Imaging and the German Center...
Christopher Nguyen
The Nguyen lab focuses on the development and clinical application of novel imaging techniques to characterize the cardiovascular system including MRI, optical, and PET. Our primary research interests fall into four general areas: (1) bio- inspired design for heart assisted devices (Science Robot...
Jason Stockmann
Jason Stockmann, PhD, is broadly interested in magnetic resonance imaging hardware and acquisition methods for improving data quality for both structural and functional imaging. He has worked on diverse MRI scanners ranging in field strength by two orders of magnitude, from low-field (80 mT) to u...
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...
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...
Noam Peled
I have a broad background in neuroimaging, with specific training and expertise in analyzing and visualization of multi-modality neuroimaging datasets. I received my Ph.D. degree in machine learning and games theory from Bar-Ilan University in 2014, and in 2015 I started my position as a research...
Albert Kim
I am an oncologist with interests in using machine learning and Omics to develop precision-based treatment paradigms and study therapuetic resistance. My laboratory efforts leverage Omics-based techniques, medical imaging (e.g., radiology, pathology), and machine learning to define and target ge...
Bastien Guerin
Dr. Guerin's research focuses on MRI (and to some extent PET) technology development and translation to neuro-imaging to help better understand the human brain. He has several areas of specialization: (i) Modeling and optimization of radio-frequency (RF) and gradient MR sub-systems. Dr. Geurin's...
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 ...
Anand Kumar
Dr. Kumar's research is focused on development and translation of novel biomedical optical techniques for preclinical and clinical applications. He has more than 15 years of experience in theory, modeling and experimental aspects of biological optical imaging. Over the past decade, his group has ...
Hakan Ay
Dr. Hakan Ay is an MD with residency training in Neurology and fellowship training in Vascular Neurology. He currently serves as an Associate Professor at Harvard Medical School with appointments in both departments of Neurology and Radiology at the Massachusetts General Hospital. Dr. Ay has 28 y...
Bragi Sveinsson
Dr. Bragi Sveinsson is an Assistant Professor in Radiology at Harvard Medical School. He earned his Ph.D. in Electrical Engineering from Stanford University, where his focus area was Magnetic Resonance Imaging, or MRI. In his research, Dr. Sveinsson is mainly interested in imaging methods for ...