BrainMap: Model-based quantitative MRI meets machine learning
Zoom link: https://zoom.us/j/153319823
Search Results for: Machine Learning
BrainMap: Medical Image Processing and Machine Learning Workflow
Zoom link: https://zoom.us/j/153319823
BrainMap: Mapping the Brain’s Deep, Superficial, and Cerebellar White Matter using Machine Learning and Neuroanatomical Expertise
Zoom link: https://zoom.us/j/153319823
Machine Learning Model Identified Alzheimer’s Disease-Like Structural Brain Patterns in Younger, Asymptomatic Adults
David H. Salat and colleagues created a machine learning classifier that detected Alzheimer’s disease–like brain patterns in younger adults (40 to 59 years old) and in a cohort with mild cognitive impairment.
BrainMap: Machine Learning for Magnetic Resonance Image Analysis: applications to in-vivo fetal brain and multiple sclerosis
Zoom link: https://zoom.us/j/153319823
Deep Learning Offers Quantitative Means of Monitoring Disease Progression in Retinopathy of Prematurity
Recent research also highlights the possibility of identifying infants at high risk for developing ROP.
Learning to See: New Artificial Intelligence Technique Dramatically Improves the Quality of Medical Imaging
The technique yields higher quality images from less data, reducing radiation doses for CT and PET and shortening scan times for MRI.
Fu Lab
The Fu Lab develops advanced PET/MRI and digital cognitive biomarkers, powered by machine learning, to enable early detection and individualized tracking of Alzheimer’s disease and related neurodegenerative disorders.
BRAIN Lab
BRAIN lab develops data acquisition and image reconstruction technology for faster, more informative, reproducible and robust MRI scans by leveraging open-source tools, medical physics, signal processing and machine learning algorithms.
Notes from Cape Town: Martinos at ISMRM 2026
Martinos researchers turned out in force at the ISMRM meeting this month in Cape Town, South Africa. With more than 100 abstracts presented by faculty, trainees, staff, and collaborators, they showcased the full span of… Notes from Cape Town: Martinos at ISMRM 2026
Portable MRI Supports More Efficient Diagnosis and Monitoring for Neurological Conditions
“When I first heard the terms ‘portable’ and ‘MRI’ together, I did a double take,” said W. Taylor Kimberly, MD, PhD, chief of the Division of Neurocritical Care and a stroke and critical care neurologist in the Department of… Portable MRI Supports More Efficient Diagnosis and Monitoring for Neurological Conditions
AI, Modeling & Computational Methods
Artificial intelligence, modeling & computational methods programs at the Martinos Center integrate advanced AI, machine learning, and computational science to push the boundaries of biomedical imaging. Researchers in this area develop and apply AI-driven approaches that… AI, Modeling & Computational Methods
FlexNIRS Offers Needle-Free Way to Track Blood Pressure
Doctors often use an invasive catheter inside an artery to get continuous blood pressure readings during surgery, but that can be uncomfortable and risk complications. In a new study, Zahra Einalou, Maria Angela Franceschini and colleagues tested… FlexNIRS Offers Needle-Free Way to Track Blood Pressure
Martinos Fellowship Program Now Accepting Applications
Candidates are encouraged to apply by April 15, 2024.
Home Hospital Innovation Challenge Showcases Imaging Technologies of Tomorrow
The Shark Tank-like event presented innovative technologies including a point-of-care surgical robotic platform and a fleet of mobile MRI scanners.
The Martinos Center’s Got Talent!
On Wednesday, January 11, the MGH Martinos Center for Biomedical Imaging will stage its first-ever talent show, aptly titled: “The Martinos Center’s Got Talent!” The event will showcase the many, varied talents of folks from… The Martinos Center’s Got Talent!
BrainMap: From fMRI Mega-analyses to Universal Representations of Cognition
Zoom link: https://zoom.us/j/153319823
BrainMap: Cortical-Like Dynamics in Recurrent Circuits Optimized for Sampling-Based Probabilistic Inference
Zoom link: https://zoom.us/j/153319823