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 ...
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Karl Helmer
Karl Helmer, PhD, maintains research interests in several areas: (1) the creation of data management and sharing infrastructure; (2) the development of imaging protocols for multi-site MR imaging-based studies; (3) the creation of quality control and assessment software for MRI data; and (4) deve...
Eric Gale
Dr. Gale applies chemistry to solve unmet challenges in radiology and biomedical imaging. A major area of current focus is developing magnetic resonance imaging probes to non-invasively map and quantify pathologic change at the molecular level. His group is capitalizing on the transition metal p...
Berkin Bilgic
MRI has demonstrated ability to provide exquisite contrast for non-invasive imaging. What limits its efficiency and sensitivity are the tradeoffs between scan time, resolution and signal-to-noise ratio. Dr. Bilgic's research is devoted to breaking this stalemate by developing new acquisition and ...
Michael Placzek
Dr. Placzek's research focuses on studying human brain diseases with translational molecular imaging - positron emission tomography (PET). Through a multi-faceted approach, his group is working towards a better understanding of the molecular mechanisms involved in brain diseases. Their work is ap...
John Kirsch
John Kirsch, PhD, is a radiological physicist by training and education, whose interest and experience have been in MRI technology for the majority of his career. He contributed significantly to the early pioneering development of clinical applications for MRI as well as to the design and improve...
Kawin Setsompop
Dr. Setsompop is an Associate Professor of Radiology at Harvard Medical School and an affiliated faculty member at Harvard-MIT Division of Health Sciences and Technology (HST). He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and ...
Meher Juttukonda
Dr. Juttukonda’s research interests are in studying the balance between hemodynamic and metabolic function in the human brain as well as in the translation of these methods for characterizing microvascular health in cerebrovascular diseases. A principal objective of his work has been to develop q...
Putting the ‘Art’ in mARTinos
On December 13, 2018, the Martinos Center celebrated the holidays with an evening of revelry and the first-ever “ART in mARTinos” gallery event. More than 20 artists from throughout the Center shared their work with us, giving us an opportunity to marvel at the beauty of biology both in the biome...
The Epigenetics of Aging: Understanding neurodegeneration at the gene transcription level
Over the past century, life expectancy has doubled. Consider for a moment the impact of this factoid on our interpretation of the aging brain. Prior to the 20thcentury – indeed, throughout nearly all of history – there was likely no evolutionary pressure for humans to live beyond reproductive age...
Jean Augustinack
The main goal of Dr. Augustinack's research is to validate neuroimaging, such as MRI, with ground truth histologic analyses and to advance neuroanatomical and pathological biomarkers for in vivo imaging. Her laboratory bridges the domains of ground truth histologic staining and MRI tissue propert...
Student FAQ
What type of students work at the Martinos Center? The Martinos Center is home to full-time Ph.D. and Master's students from various backgrounds, ranging from Physics, Chemistry, Computer Science and Engineering to Biology, Neuroscience and Psychology. The breadth of research at the Center provi...
Students
The Martinos Center is home to full-time Ph.D. and Master’s students in a host of disciplines: from Physics and Chemistry to Biology, Neuroscience and Psychology. The breadth of research at the Center provides many opportunities for students to find a lab that suits their interests. You can learn...
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...
Sara Lazar
Sara W. Lazar, PhD, is an Associate Researcher in the Psychiatry Department at Massachusetts General Hospital and an Assistant Professor in Psychology at Harvard Medical School. The focus of her research is to elucidate the neural mechanisms underlying the beneficial effects of yoga and meditatio...
Brad Dickerson
Brad Dickerson, MD, is the Director of the Massachusetts General Hospital Frontotemporal Disorders Unit and Neuroimaging Lab in Boston. He holds the Tom Rickles Chair in Progressive Aphasia Research, and is a behavioral neurologist in the MGH Memory Disorders Unit and Leader of the Neuroimaging C...
Center for Mesoscale Mapping
Brain science tools have advanced in several distinct directions. Advanced tools in molecular biology now allow neuroscientists to study distinct patterns of gene expression in individual neural cells, leading to the potential for a comprehensive atlas of cell types. In parallel, tools that allow...
Christin Sander on Organizing the 2019 Molecular Imaging Congress
This year's meeting of the World Molecular Imaging Congress (WMIC), held last month in Montreal, was by all accounts a roaring success. And much of this success can be attributed to the efforts of the Martinos Center’s Christin Sander, who served as the meeting’s Program Committee Co-chair. Sa...
Facilitating Integration of AI Into Radiology Practice
The Quantitative Translational Imaging in Medicine (QTIM) Lab at the MGH Martinos Center has contributed to the advancement of artificial intelligence in radiology practice in myriad ways. Not least: the group collaborated with the American College of Radiology Data Science Institute (ACR-DSI) in...
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...