Dr. Ahlfor's research focuses on non-invasive neuroimaging --- in particular, the analysis and interpretation of magnetoencephalography (MEG) signals. He has developed methodologies for multimodal integration of MEG, electroencephalography (EEG) and structural and functional magnetic resonance im...
Search Results: Functional Image Analysis
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 ...
Jingyuan Chen
Dr. Chen's research lies at the interface of neuroimaging technology, signal processing and neuroscience. She is interested in integrating state-of-the-art fMRI and multi-modal imaging techniques to achieve novel, comprehensive insights into our brain's function and physiology. One line of her cu...
Jyrki Ahveninen
Dr. Ahveninen's mission is to apply novel and improved techniques to achieve more accurate estimates of human brain function than previously achieved. His work focuses on neuroimaging of human auditory system, auditory working memory and higher-order auditory cognition using techniques including ...
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 ...
Douglas Greve
Douglas Greve, PhD, has a passion for delivering cutting-edge tools to the neuroscience community. He joined the FreeSurfer team 20 years ago and has been developing neuroimaging software ever since. His career has offered him an exciting mixture of engineering, physics, software development and ...
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...
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...
Jessie Fang-Lu Fu
Dr. Jessie Fang-Lu Fu's research focuses on the translational application of multimodal neuroimaging, Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI), and machine learning in neurodegenerative disorders. Her main research interests include (i) evaluating the capability of ...
Bruce Rosen
Bruce Rosen, MD, PhD, is Director of the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and the Laurence Lamson Robbins Professor of Radiology at Harvard Medical School. He received his MD degree from Hahnemann Medical College in Philadelphia in 1982 and his...
Lawrence Wald
Lawrence L. Wald, PhD, is currently a Professor of Radiology at Harvard Medical School and Affiliated Faculty of the Harvard-MIT Division Health Sciences Technology. He received a BA in Physics at Rice University, and a PhD in Physics from the University of California at Berkeley in 1992 under th...
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...
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...
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 ...
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...
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...
Xue-Jun (June) Kong
Xue-Jun (June) Kong, M.D. Principal Investigator and Director of Synapse Autism program at Martinos Center/Mass General Hospital, Principal Investigator and Attending Physician at Beth Israel Deaconess Medical Center, Assistant Professor of Harvard Medical School. She leads her Autism research te...
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...
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...
Roberta Sclocco
Dr. Sclocco has a background in bioengineering and signal processing, with specific training in non-invasive neuroimaging (e.g., fMRI, EEG) and peripheral autonomic data analyses. Since the beginning of her career, she have been interested in the interactions between the central and peripheral au...