activity
20112024
most citedfastMRI: An Open Dataset and Benchmarks for Accelerated MRI

555 citations · 1.2k across the 19 of their papers we have counts for

collaborators

19 papers

eess.IV2024★ 1 cited

DeepEMC-T2 Mapping: Deep Learning-Enabled T2 Mapping Based on Echo Modulation Curve Modeling

Haoyang Pei, Timothy M. Shepherd, Yao Wang +4

Purpose: Echo modulation curve (EMC) modeling can provide accurate and reproducible quantification of T2 relaxation times. The standard EMC-T2 mapping framework, however, requires…

physics.med-ph2023★ 6 cited

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning

Eisa Hedayati, Fatemeh Safari, George Verghese +4

Stroke is a leading cause of mortality and disability. Emergent diagnosis and intervention are critical, and predicated upon initial brain imaging; however, existing clinical imagi…

eess.IV2023

On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis

Divyam Madaan, Daniel Sodickson, Kyunghyun Cho +1

Magnetic Resonance Imaging (MRI) is considered the gold standard of medical imaging because of the excellent soft-tissue contrast exhibited in the images reconstructed by the MRI p…

physics.med-ph2023★ 2 cited

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging

Radhika Tibrewala, Tarun Dutt, Angela Tong +8

The fastMRI brain and knee dataset has enabled significant advances in exploring reconstruction methods for improving speed and image quality for Magnetic Resonance Imaging (MRI) v…

cs.LG2023★ 1 cited

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease

Raghav Singhal, Mukund Sudarshan, Anish Mahishi +7

Early detection of many life-threatening diseases (e.g., prostate and breast cancer) within at-risk population can improve clinical outcomes and reduce cost of care. While numerous…

physics.med-ph2021★ 29 cited

Generalized Bloch model: a theory for pulsed magnetization transfer

Jakob Assländer, Cem Gultekin, Sebastian Flassbeck +2

Purpose: The paper introduces a classical model to describe the dynamics of large spin-1/2 ensembles associated with nuclei bound in large molecule structures, commonly referred to…