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: Diffusion MRI
Gabriel Ramos Llorden
Dr. Gabriel Ramos Llorden (1988, Spain) is a biomedical imaging scientist and engineer with more than 12 years of experience advancing medical imaging across multiple modalities, including MRI, ultrasound, and CT. He has deep expertise in MRI acquisition, reconstruction, and AI-driven analysis, c...
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...
Susie Huang
Susie Huang, MD, PhD, is a board-certified neuroradiologist and physician-scientist specializing in the development and translation of novel MRI techniques for investigating structure, function and pathology within the brain. Her doctoral training in physical chemistry and subsequent residency in...
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 ...
Kenneth Kwong
Kenneth Kwong, PhD, has been conducting magnetic resonance imaging (MRI) research for more than 30 years with expertise in diffusion (R.1), functional imaging (R.2) and perfusion imaging (R.3). He was one of the earliest researchers to explore MR diffusion imaging of healthy subjects and patients...
Hong Hsi Lee
Hong-Hsi Lee, MD, PhD, is a medical imaging scientist with diverse background and extensive research experience in biophysical modeling, numerical simulations, tissue biology, and in vivo human imaging. His undergraduate and master’s training in medicine and physics in Taiwan and subsequent docto...
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...
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...
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...
Ona Wu
The research goals of Dr. Wu's group are to improve the diagnosis, prognosis and management of patients with brain injury by quantifying and monitoring injury or recovery on an individual patient basis. The group focuses particularly on stroke, cardiac arrest and traumatic brain injury. Predictin...
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...
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...
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 ...
Iris Yuwen Zhou
Dr. Iris Yuwen Zhou is an Assistant Professor of Radiology at Massachusetts General Hospital and Harvard Medical School and a faculty member in the Athinoula A. Martinos Center for Biomedical Imaging. She has a background in both electronic engineering and biomedical engineering, with specific tr...
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...
Matthew Rosen
Dr. Matt Rosen is a physicist, tool-builder and inventor whose research bridges the spectrum from fundamental physics to applied bioimaging work in the field of MRI. He established the Low-Field MRI and Hyperpolarized Media Laboratory at the Athinoula A. Martinos Center for Biomedical Imaging to ...
Randy Hirschtick
Randy Hirschtick, MD, PhD, is Professor of Psychiatry at Harvard Medical School and Clinical Professor of Psychiatry with a secondary appointment in Radiology at Massachusetts General Hospital, where she serves as the Associate Director of Translational Research in the Neuroimaging Research Progr...
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...
Sheng Shen
Dr. Shen’s work focuses on advancing ultra-low field (ULF) MRI hardware, quantitative imaging techniques and ultra-low field MRI applicaiotns. He has developed novel approaches for T1 and T2 mapping at 6.5 mT to enable accessible MRI and quantitative evaluation for breast and brain. In addition, ...