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...
Search Results: Software Development
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...
Anna Blazejewska
Dr. Blazejewska’s research focuses on combining high-resolution anatomical and functional imaging to study the relationships between tissue microstructure and function in the healthy and diseased brain. She is interested in developing the next generation of methodologies allowing for microstructu...
Fuyixue Wang
Dr. Wang is an Assistant Professor of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS). She obtained her PhD degree from MIT in the Harvard-MIT Health Sciences and Technology department, receiving interdisciplinary training in electrical engineering, medical phys...
Jason Stockmann
Jason Stockmann, PhD, is broadly interested in magnetic resonance imaging hardware and acquisition methods for improving data quality for both structural and functional imaging. He has worked on diverse MRI scanners ranging in field strength by two orders of magnitude, from low-field (80 mT) to u...
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 ...
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...
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 (...
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...
MGH Launches the Center for Precision Imaging
Massachusetts General Hospital has announced the Center for Precision Imaging (CPI), associated with the Martinos Center for Biomedical Imaging and led by Martinos Center investigator Umar Mahmood. Precision medicine is a burgeoning field in which health outcomes are optimized by specifically tai...
Ivan Coto Hernandez
Dr. Coto Hernandez is an instructor at Harvard Medical School and Massachusetts General Hospital. Throughout his career, he has developed multiple hardware and software methods able to enhance effective spatial resolution and imaging depth and achieve label-free imaging. Education PhD Select...
Ross Mair
As the Head of MR Physics at the Harvard University Center for Brain Science, Neuroimaging facility, Dr. Mair's role involves investigation and implementation of novel MRI methods for neuroimaging using the 3.0T MRI scanner, along with facility management duties. His research time has been split ...
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. ...
Christian Farrar
The Farrar group's research program is focused on the development of novel Magnetic Resonance molecular imaging contrast agents and methods and on the development of innovative Magnetic Resonance Imaging (MRI) methods for characterizing vascular structure and function. The tools being developed i...
Yi-Fen Yen
Over the past two decades, Dr. Yen has devoted herself to the development of advanced MRI techniques, for hyperpolarized metabolic imaging, cancer imaging and functional imaging in clinical and pre-clinical research. She is an MR physicist with >100 publications in peer-reviewed scientific jou...
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...
Maria Mody
Maria Mody, PhD, is a cognitive neuroscientist specializing in neuroimaging of communication abilities in children and adults, with a focus on autism and dyslexia.The goal of her research is to identify core behaviors in developmental disorders of speech and language and the underlying neural mec...
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...
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...
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...