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Joint Motion Correction and Super Resolution for Cardiac Segmentation
  via Latent Optimisation

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

8 July 2021
Shuo Wang
C. Qin
N. Savioli
Chen Chen
D. O’Regan
S. Cook
Yike Guo
Daniel Rueckert
Wenjia Bai
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation"

4 / 4 papers shown
Title
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Yundi Zhang
Paul Hager
Che Liu
Suprosanna Shit
Chong Chen
Daniel Rueckert
Jiazhen Pan
136
1
0
17 Apr 2025
$\mathcal{X}$-Metric: An N-Dimensional Information-Theoretic Framework
  for Groupwise Registration and Deep Combined Computing
X\mathcal{X}X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing
Xinzhe Luo
Xiahai Zhuang
81
24
0
03 Nov 2022
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion
  (CMRxMotion)
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)
Shuo Wang
C. Qin
Chengyan Wang
Kang Wang
Haoran Wang
...
Zhang Shi
Chenchen Dai
Xin Chen
He Wang
Wenjia Bai
75
13
0
12 Oct 2022
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging
  and Clinical Data
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data
Mengyun Qiao
Berke Doga Basaran
Huaqi Qiu
Shuo Wang
Yi Guo
Yuanyuan Wang
Paul M. Matthews
Daniel Rueckert
Wenjia Bai
MedIm
77
2
0
28 Aug 2022
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