1 citations · 1 across the 4 of their papers we have counts for
4 papers
Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution
Abdulkader Ghandoura, Marsil Zakour, William Consagra +1
Resolving complex fiber geometries in brain white matter requires high-resolution diffusion MRI at the cost of long acquisition times. This leads many clinical protocols to opt for…
SIINR: Structurally Informed Implicit Neural Representations for super-resolution with uncertainty quantification of clinical quality diffusion MRI datasets
Tom Hendriks, William Consagra, Anna Vilanova +2
Diffusion Magnetic Resonance Imaging (dMRI) is a powerful tool for probing brain microstructure, but clinical acquisitions are often limited by low out-of-plane resolution, resulti…
HARP: HARmonizing in-vivo diffusion MRI using Phantom-only training
Hwihun Jeong, Qiang Liu, Kathryn E. Keenan +7
Purpose: Combining multi-site diffusion MRI (dMRI) data is hindered by inter-scanner variability, which confounds subsequent analysis. Previous harmonization methods require large,…
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces
Kyler Larsen, Arghya Pal, Yogesh Rathi
Magnetic Resonance Imaging (MRI) scans are time consuming and precarious, since the patients remain still in a confined space for extended periods of time. To reduce scanning time,…