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 ...
Search Results: Image Quality
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...
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, ...
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...
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. ...
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...
Fang Liu
Fang Liu is the Director of the Intelligent Imaging Innovation and Translation Lab at Athinoula A. Martinos Center for Biomedical Imaging and Assistant Professor of Radiology at Harvard Medical School. His research focuses on medical image acquisition and reconstruction, image analysis and proces...
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...
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...
Mainak Jas
Dr. Jas completed his PhD from Telecom ParisTech. His thesis focused on automating MEG/EEG analysis pipelines. He is a proponent of open and reproducible science. He has been a key contributor to several open source neuroimaging tools: most notably MNE-Python, MNE-BIDS, and HNN-core. He develope...
Caroline Magnain
Dr. Magnain is an assistant professor 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 develope...
Nikolaos Efthymiou
Nikos Efthimiou is a non-clinical researcher at the Athinoula A. Martinos Center for Biomedical Research with more than ten years of experience in Medical Imaging, focused on Positron Emission Tomography. Nikos' expertise spans detector technologies such as Silicon Photomultipliers, front-end ele...
Christopher Bridge
Dr Bridge is trained as an engineer, with MEng (Distinction) and DPhil degrees from the University of Cambridge and University of Oxford, respectively. He has worked in the area of medical image analysis for nearly a decade. His work on his doctoral thesis involved the development of a system for...
Malte Hoffmann
Malte Hoffmann is a faculty member in Radiology at Harvard Medical School and affiliated faculty inthe Health Sciences and Technology Division at MIT. He received a Bachelor's degree in physics fromthe University of Paris XI, and a Master's degree and PhD from the University of Cambridge, wherehe...
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 ...
Jian (Andrew) Li
Jian (Andrew) Li is an Instructor at the A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School. His research interests lie in the application of statistical signal and image processing and machine learning theory to modeling and analysis of neuroi...
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...
Renzo Huber
“Laurentius Huber, aka Renzo is a PI at the Martinos Center. He is Associate Professor at MGH (profile) and is it Member of the Faculty of Radiology at Harvard Medical School (profile). He joined the Martino’s center in summer 2025 as the Neuroscience Director of the MGB 7T center. In this role, ...
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...
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...