Jacob Hooker, PhD, is currently Lurie Family Professor of Radiology in the Field of Autism Research and a Phyllis and Jerome Lyle Rappaport MGH Research Scholar. Dr. Hooker also serves as Scientific Director of the Lurie Center for Autism, as editor-in-chief for ACS Chemical Neuroscience and has...
Search Results: Clinical
Chiara Maffei
Dr. Chiara Maffei, Ph.D., obtained her Master and Ph.D. in Neuroscience from the University of Trento in Italy, for which she received the Best Ph.D. thesis award in 2019. Her scientific interests focus on the optimization, validation, and clinical translation of automated diffusion MRI tractogra...
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...
Chongzhao Ran
Chongzhao Ran, PhD, is an Associate Professor in Radiology at Massachusetts General Hospital and Harvard Medical School. He received a Master's degree in medicinal chemistry from China Pharmaceutical University and a PhD in medicinal chemistry from Shanghai Institute of Pharmaceutical Industry, C...
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 ...
Shasha Li
Shasha Li, M.D., Ph.D., joined the faculty at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) with the goal of improving the understanding of the physiological implications of altered neural networks in neurological diseases. She has made substantial contributions to the fie...
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...
Lilla Zollei
Dr. Lilla Zollei's research focuses on the design and development of quantitative analysis tools for neuroscientific problems. She builds and tests computational tools that can be used for both individual and group studies and investigate, through the combination of image information from multipl...
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...
Bruce Fischl
Bruce Fischl, PhD, is a Professor of Radiology at Harvard Medical School and Director of the Laboratory for Computational Neuroimaging at the Martinos Center for Biomedical Imaging. A leader in the field of image processing and analysis, he has spearheaded the development of a range of innovative...
Jyrki Ahveninen
Dr. Ahveninen's mission is to apply novel and improved techniques to achieve more accurate estimates of human brain function than previously achieved. His work focuses on neuroimaging of human auditory system, auditory working memory and higher-order auditory cognition using techniques including ...
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 ...
Clarissa Cooley
Dr. Cooley's research interests lie in the development of high-impact imaging systems based on new approaches to hardware, image encoding, and signal processing. Her primary scientific contribution has been the development of a portable MRI brain scanner that uses a new image encoding technique. ...
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...
Michele Scipioni
Dr. Michele Scipioni is dedicated to advancing our understanding of biological and neurochemical processes through the development of integrated PET/MRI technologies. With several years of experience, Dr. Scipioni offers a multidisciplinary perspective, drawing from mechanical engineering, comput...
Yohan Jun
Dr. Yohan Jun's research focuses on developing novel MR acquisition and reconstruction techniques using MR physics and machine/deep-learning-based algorithms to accelerate MRI scans while achieving high-fidelity images. He works on the following research topics: i. Rapid high-resolution quanti...
Chieh-En (Jane) Tseng
I am an Instructor in Radiology with expertise in magnetic resonance imaging (MRI) and positron emission tomography (PET). My PhD focused on using structural, diffusion, and functional MRI to study cognitive functions and related neuroanatomy in very preterm born adults. I completed my postdoctor...
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 ...
Roberta Sclocco
Dr. Sclocco has a background in bioengineering and signal processing, with specific training in non-invasive neuroimaging (e.g., fMRI, EEG) and peripheral autonomic data analyses. Since the beginning of her career, she have been interested in the interactions between the central and peripheral au...
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 ...