Meher Juttukonda

Dr. Juttkonda's research focuses on the development of imaging methods for measuring cerebral hemo-metabolic function and the translation of these methods for characterizing microvascular health in cerebrovascular diseases. The immediate goal is to employ a multidisciplinary approach to elucidate...

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...

Sheraz Khan

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 ...

Marta Bianciardi

Marta Bianciardi, PhD, joined the faculty at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) with the goal of developing an in vivo neuroimaging-based atlas and connectome of brainstem nuclei by 7 Tesla MRI, to enhance our knowledge and the quality of patient care in disorde...

Mathias Davids

Mathias Davids, PhD, is currently an Instructor in Radiology at Harvard Medical School. He received a BSc in Biomedical Engineering at University of Luebeck in 2011, and an MSc and Ph.D. in Biomedical Physics at Heidelberg University in 2014 and 2018, respectively. Dr. Davids has a strong backgro...

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...

Abbas Yaseen

Abbas Yaseen, PhD, is an Assistant Professor of Radiology at Harvard Medical School specializing in advanced microscopy for minimally invasive, in vivo characterization of brain function in preclinical models. His group focuses on the development and application of high-resolution optical imaging...

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...

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...

David Salat

The overarching aim of Dr. Salat's work is to understand mechanisms of neural disease and to implement novel approaches to reduce the impact of disease on the brain, cognition and clinical status. Clinically, there are two main clinical foci to his research. At the MGH Martinos Center, he directs...

Jerome Ackerman

Jerome Ackerman, PhD, has conducted research in magnetic resonance for over 45 years, and has led the solid-state MR program at MGH for over 30 years. As of May, 2019, his work (over 100 peer-reviewed journal articles, reviews, chapters and patents; over 200 abstracts) has been cited 5048 times (...

Steven Stufflebeam

Steven Stufflebeam, MD, translates basic science and advanced imaging technology into everyday clinical practice. His laboratory aims to improve the health care for patients with epilepsy, schizophrenia, brain tumors and hearing impairments. His training is in biomedical engineering, mathematics ...

Ciprian Catana

Dr. Catana is director of Integrated MR-PET Imaging at the MGH Martinos Center for Biomedical Imaging and an Associate Professor in Radiology at Harvard Medical School. He has extensive experience in combining PET and MRI and is currently focusing on developing quantitative MR-PET for human use. ...

Iman Aganj

Dr. Aganj's research objectives are focused on developing new medical image analysis techniques and improving existing ones so researchers and clinicians can extract the maximal amount of useful information from the images they acquire, with the goal of improving human health. These efforts range...

David Izquierdo

Dr. David Izquierdo is an Instructor in the Department of Radiology at Massachusetts General Hospital / Harvard Medical School with interest in improving non-invasive molecular imaging quantification with combined PET/MRI scanners. In particular most of Dr. Izquierdo's research is applied to brai...

Iris Yuwen Zhou

Iris Yuwen Zhou, PhD, is an Instructor in Radiology at Massachusetts General Hospital and Harvard Medical School and a faculty member in the Athinoula A. Martinos Center for Biomedical Imaging. Dr. Zhou’s work focuses on developing novel MRI methodologies that quantify molecular, metabolic, funct...

Robert Frost

Dr. Robert Frost's research focuses on improving the quality and efficiency of brain MRI through modification of the acquisition and image reconstruction. He has developed methods to accelerate the acquisition of high-resolution diffusion MRI and has used real-time feedback techniques that adapt ...

Jonathan Polimeni

Jon Polimeni, PhD, is an Assistant Professor of Radiology at Harvard Medical School. His PhD thesis was on the measurement and modeling of visuotopic maps in macaque and human visual cortex. His postdoctoral training was under the supervision of Professor Lawrence L. Wald at the Athinoula A. Mart...

Caroline Magnain

Dr. Magnain is an Instructor in Radiology at Harvard Medical School and Assistant in Physics at Massachusetts General Hospital in Boston. Throughout her career, she has strived to apply optical imaging to various domains, from cultural heritage to the biomedical science, and has developed experim...

Hesheng Liu

Dr. Liu is an Associate Professor of Radiology at Harvard Medical School. His research focuses on developing novel neuroimaging and computational tools to reveal brain functional architecture in individual subjects. A major goal of his work is to localize functional networks in individual subject...