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Retrospective Motion Correction of MR Images using Prior-Assisted Deep
  Learning

Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning

28 November 2020
S. Chatterjee
Alessandro Sciarra
M. Dünnwald
S. Oeltze-Jafra
A. Nürnberger
Oliver Speck
    MedIm
ArXivPDFHTML

Papers citing "Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning"

4 / 4 papers shown
Title
UniMo: Universal Motion Correction For Medical Images without Network Retraining
UniMo: Universal Motion Correction For Medical Images without Network Retraining
Jian Wang
Razieh Faghihpirayesh
Danny Joca
Polina Golland
Ali Gholipour
40
0
0
03 Jan 2025
SISMIK for brain MRI: Deep-learning-based motion estimation and
  model-based motion correction in k-space
SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space
Oscar Dabrowski
J. Falcone
A. Klauser
J. Songeon
Michel Kocher
B. Chopard
François Lazeyras
S. Courvoisier
MedIm
19
1
0
20 Dec 2023
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel
  UNet for enhancing super-resolution of dynamic MRI
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI
S. Chatterjee
Chompunuch Sarasaen
G. Rose
A. Nürnberger
Oliver Speck
SupR
31
5
0
10 Feb 2022
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
138
427
0
09 Mar 2020
1