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...
Search Results: Machine%20Learning
Jayashree Kalpathy-Cramer
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...
Machine Learning Model Identified Alzheimer’s Disease-Like Structural Brain Patterns in Younger, Asymptomatic Adults
Learning to See: New Artificial Intelligence Technique Dramatically Improves the Quality of Medical Imaging
A radiologist’s ability to make accurate diagnoses from high-quality diagnostic imaging studies directly impacts patient outcome. However, acquiring sufficient data to generate the best quality imaging comes at a cost – increased radiation dose for computed tomography (CT) and positron emission t...
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...
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 ...
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 ...
Albert Kim
I am a medical oncologist with interests in using machine learning and Omics to develop precision-based treatment paradigms for cancer patients. I have a special interest in central nervous system metastases, and my laboratory efforts leverage Omics-based techniques, medical imaging, and machine ...
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...
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...
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 ...
Thomas Yeo
Thomas Yeo is an Assistant Professor at the National University of Singapore (NUS). Thomas received his B.S. and M.S. from Stanford University and Ph.D. from the Massachusetts Institute of Technology. Prior to NUS, Thomas was a research fellow at Harvard University and Duke-NUS Medical School. Th...
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 ...
Hamid Sabet
Hamid Sabet, is Assistant Professor of Radiology at Harvard Medical School and a Cyclotron/Medical Physicist at the Division of Nuclear Medicine and Molecular Imaging, Radiology Department, Massachusetts General Hospital. He is the director of Radiation Physics and Instrumentation Lab at the Mart...
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...
Qiyuan Tian
Dr. Tian’s research lies at the interface of neuroimaging, signal processing, machine learning and neuroscience. He is interested in developing cutting-edge human neuroimaging methods using magnetic resonance imaging (MRI), particularly diffusion MRI, for mapping the tissue microstructure and str...
Matt Rosen and Colleagues’ Journey Through the Secret Life of Plants
In the waning months of 1979, the legendary Motown artist Stevie Wonder released an album called Stevie Wonder’s Journey Through "The Secret Life of Plants," the soundtrack to the documentary film The Secret Life of Plants. Equal parts frustrating and strangely compelling, and notably using some ...
Visualizing the Mind: How We See the Brain Through Functional MRI
Last year, Harvard College senior Kelsey Ichikawa (shown in the photo above) interviewed the Martinos Center’s Bruce Rosen and Bruce Fischl for a general audience article about functional MRI, which she was writing for a science journalism course. Earlier this year, the article won the Harvard Bo...
Artificial Intelligence Improves Treatment Monitoring in Patients with Glioma
This year, some 78,000 primary brain and other central nervous system (CNS) cancers will be diagnosed in the US alone. Researchers are actively developing new therapies for glioma, the most common type of primary brain tumor, but challenges remain in assessing whether patients are responding to t...