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 ...
Search Results: Vision
Robert Savoy
Dr. Savoy received his academic training in applied mathematics at MIT (BS 1971; MS 1975) and experimental psychology at Harvard University (PhD 1980). This period included 10 years of work at Polaroid Corporation’s Vision Research Laboratory, after which he joined the newly formed Rowland Instit...
Maria Angela Franceschini
Maria Angela Franceschini, PhD, is widely recognized as a leader in the field of diffuse optical imaging in both neuroscience and clinical neuro-monitoring applications. Her research interests lie mainly in the development of novel optical imaging methods to achieve a deeper understanding of the ...
Kestas Kveraga
Dr. Kveraga is a cognitive neuroscientist who studies the neural mechanisms of threat perception from naturalistic stimuli, with strong interests in visual pathway function and autism. He is also interested in neural aesthetics and how brain activity can be employed to predict and shape architect...
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...
Malte Hoffmann
Malte Hoffmann is a faculty member in Radiology at Harvard Medical School and affiliated faculty inthe Health Sciences and Technology Division at MIT. He received a Bachelor's degree in physics fromthe University of Paris XI, and a Master's degree and PhD from the University of Cambridge, wherehe...
Albert Kim
I am a board-certified oncologist with expertise in deep learning (DL)-computer vision and cancer genomics. Our prior work has applied end-to-end DL to data acquired in standard oncologic care (e.g., histopathology [H&E], CT, MRI) to accurately infer tumor genomics and properties of the micro...
Neel Dey
Neel Dey is an Instructor at the A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, and Harvard Medical School. He is broadly interested in building robust machine learning methods to analyze biomedical images, with a particular emphasis on approaches for automatic gene...
Shahin Nasr
For the past 15 years, Shahin Nasr, PhD, has studied the visual system of humans and non-human primates using a variety of techniques, from psychophysics and event-related potentials (ERP) to conventional and high-resolution functional MRI, in order to understand the neural mechanisms underlying ...