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Recovering high-quality FODs from a reduced number of diffusion-weighted
  images using a model-driven deep learning architecture

Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture

Magnetic Resonance in Medicine (MRM), 2023
28 July 2023
Joseph Bartlett
C. Davey
L. Johnston
Yanfu Zhang
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture"

2 / 2 papers shown
Title
From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement
From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement
Xinyi Wang
M. Barnett
Frederique Boonstra
Yael Barnett
Mariano Cabezas
...
Anneke Van Der Walt
Dongang Wang
Fernando Calamante
Weidong (Tom) Cai
Chenyu Wang
MedIm
119
0
0
13 Aug 2025
FOD-Swin-Net: angular super resolution of fiber orientation distribution
  using a transformer-based deep model
FOD-Swin-Net: angular super resolution of fiber orientation distribution using a transformer-based deep model
Mateus Oliveira Da Silva
C. Santana
Diedre Santos do Carmo
Letícia Rittner
MedIm
40
7
0
19 Feb 2024
1