257 citations · 257 across the 3 of their papers we have counts for
5 papers
PGDM-MRSRGAN: Physics-Guided Degradation Model with an SRGAN Framework for Magnetic Resonance Image Super-Resolution: Applications in Low-Field MRI
Yashwant Kurmi, Charlotte R. Sappo, Sai Abitha Srinivas +3
Magnetic Resonance Imaging (MRI) often suffers from low signal-to-noise ratio (SNR) and limited spatial resolution, which compromise clinical precision. This study aims to address…
LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MR
Jonathan B. Martin, Yashwant Kurmi, Charlotte R. Sappo
Ultra-low-field MRI makes neonatal brain imaging deploy- able in low-resource settings, but its low SNR, lack of shielding, and long scan duration make it especially prone to acqui…
A Minibatch Alternating Projections Algorithm for Robust and Efficient Magnitude Least-Squares RF Pulse Design in MRI
Jonathan B. Martin, Charlotte R. Sappo, Benjamin M. Hardy +1
A magnitude-least-squares radiofrequency pulse design algorithm is reported which uses interleaved exact and stochastically-generated inexact updates to escape local minima and fin…
External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI
Sai Abitha Srinivas, Stephen F Cauley, Jason P Stockmann +5
Purpose: Point-of-care MRI requires operation outside of a faraday shielded room normally used to block image-degrading electromagnetic Interference (EMI). To address this, we intr…
A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging
Clarissa Z. Cooley, Patrick C. McDaniel, Jason P. Stockmann +9
Access to and availability of MRI scanners is typically limited by their cost, siting and infrastructure requirements. This precludes MRI diagnostics, the reference standard for ne…