Matthew Rosen

Associate Professor

United States

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About

Matthew Rosen is an Associate Professor at the Athinoula A. Martinos Center for Biomedical Imaging in the United States. His research areas include low-field MRI optimization, machine learning applications in magnetic resonance imaging, and evaluation techniques for Alzheimer's disease. Recent publications highlight advancements in wireless magnetic resonance sensing and enhancements in imaging contrast through innovative materials.

Articles (20)

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2025

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2021

Collaborators (17)

andrew webb

Professor

Leiden University Medical Center

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Matthew Rosen

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Articles (20)

B1‐corrected breast T1 mapping at ultralow field

Breast Coil Optimization for Low Field MRI and Future MR-Guided Proton Therapy

Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images

Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz

Innentitelbild: Toward Ultra‐High‐Quality‐Factor Wireless Masing Magnetic Resonance Sensing (Angew. Chem. 37/2024)

Inside Cover: Toward Ultra‐High‐Quality‐Factor Wireless Masing Magnetic Resonance Sensing (Angew. Chem. Int. Ed. 37/2024)

Toward Ultra‐High‐Quality‐Factor Wireless Masing Magnetic Resonance Sensing

Toward Ultra‐High‐Quality‐Factor Wireless Masing Magnetic Resonance Sensing

Portable, low-field magnetic resonance imaging for evaluation of Alzheimer’s disease

Enhancing organ and vascular contrast in preclinical ultra-low field MRI using superparamagnetic iron oxide nanoparticles

Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging

Exploring synchrony and chaos of parahydrogen-pumped two-compartment radio-frequency amplification by stimulated emission of radiation

Low‐field MRI: A report on the 2022 ISMRM workshop

Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning

An end‐to‐end AI‐based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST)

RASER MRI: Magnetic resonance images formed spontaneously exploiting cooperative nonlinear interaction

A CNN Based Software Gradiometer for Electromagnetic Background Noise Reduction in Low Field MRI Applications

Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning

Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network

Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming

Collaborators (17)

andrew webb

Stephan Appelt

Hongwei Li

Adam de Havenon

Najat Salameh

Joshua Goldstein

Alina Adams

Krishna Nayak

Eduard Chekmenev

Orlando P. Simonetti

Christian Farrar

Mustapha Abdulmojeed

Seyedmehdi Payabvash

Or Perlman

David Reutens

Garry Gold

Thomas Theis

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