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MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View
  Cardiac MRI

MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI

29 July 2022
Qingjie Meng
C. Qin
Wenjia Bai
Tianrui Liu
A. de Marvao
D. O’Regan
Daniel Rueckert
ArXiv (abs)PDFHTML

Papers citing "MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI"

22 / 22 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
106
1
0
17 Apr 2025
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on
  Cardiac Tagging Magnetic Resonance Images
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
Meng Ye
Mikael Kanski
Ke Wang
Qi Chang
Zhennan Yan
Qiaoying Huang
L. Axel
Dimitris N. Metaxas
MedIm
85
41
0
04 Mar 2021
Enhanced 3D Myocardial Strain Estimation from Multi-View 2D CMR Imaging
Enhanced 3D Myocardial Strain Estimation from Multi-View 2D CMR Imaging
M. Abdelkhalek
H. Aguib
Mohamed Moustafa
K. Elkhodary
31
3
0
25 Sep 2020
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image
  Registration
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration
Zhe Xu
Jie Luo
Jiangpeng Yan
Ritvik Pulya
Xiu Li
W. Wells
J. Jagadeesan
MedIm
54
61
0
06 Jul 2020
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in
  MRI
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI
C. Qin
Shuo Wang
Chen Chen
Huaqi Qiu
Wenjia Bai
Daniel Rueckert
52
31
0
08 Jun 2020
Fully Automated Myocardial Strain Estimation from CMR Tagged Images
  using a Deep Learning Framework in the UK Biobank
Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank
E. Ferdian
Avan Suinesiaputra
K. Fung
N. Aung
E. Lukaschuk
...
J. Paiva
Stefan K. Piechnik
S. Neubauer
S. Petersen
Alistair Young
39
36
0
15 Apr 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Hanchao Yu
Shanhui Sun
Haichao Yu
Xiao Chen
Humphrey Shi
Thomas Huang
Terrence Chen
88
45
0
10 Mar 2020
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view
  Images
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
Chen Chen
C. Biffi
G. Tarroni
S. Petersen
Wenjia Bai
Daniel Rueckert
75
53
0
23 Jul 2019
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use
  of Images and Patient Metadata
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata
R. Attar
Marco Pereañez
Christopher Bowles
Stefan K. Piechnik
S. Neubauer
S. Petersen
Alejandro F. Frangi
MedIm
52
20
0
02 Jul 2019
Global and Local Interpretability for Cardiac MRI Classification
Global and Local Interpretability for Cardiac MRI Classification
J. Clough
Ilkay Oksuz
Esther Puyol-Antón
B. Ruijsink
A. King
Julia A. Schnabel
77
61
0
14 Jun 2019
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views
  using Conditional Variational Autoencoders
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders
C. Biffi
Juan J. Cerrolaza
G. Tarroni
A. de Marvao
S. Cook
D. O’Regan
Daniel Rueckert
3DV
51
24
0
28 Feb 2019
Learning a Probabilistic Model for Diffeomorphic Registration
Learning a Probabilistic Model for Diffeomorphic Registration
Julian Krebs
H. Delingette
B. Mailhé
N. Ayache
Tommaso Mansi
DiffMMedIm
65
195
0
18 Dec 2018
Explainable cardiac pathology classification on cine MRI with motion
  characterization by semi-supervised learning of apparent flow
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
Ben Green
H. Delingette
N. Ayache
63
83
0
08 Nov 2018
Deep learning cardiac motion analysis for human survival prediction
Deep learning cardiac motion analysis for human survival prediction
Ghalib A. Bello
T. Dawes
Jinming Duan
C. Biffi
A. de Marvao
...
J. Gibbs
M. Wilkins
S. Cook
Daniel Rueckert
D. O’Regan
MedIm3DH
65
209
0
08 Oct 2018
A Deep Learning Framework for Unsupervised Affine and Deformable Image
  Registration
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
B. D. de Vos
F. Berendsen
M. Viergever
Hessam Sokooti
Marius Staring
Ivana Isgum
MedIm
69
687
0
17 Sep 2018
VoxelMorph: A Learning Framework for Deformable Medical Image
  Registration
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan
Amy Zhao
M. Sabuncu
John Guttag
Adrian Dalca
MedIm
121
1,578
0
14 Sep 2018
Joint Learning of Motion Estimation and Segmentation for Cardiac MR
  Image Sequences
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
C. Qin
Wenjia Bai
Jo Schlemper
S. Petersen
Stefan K. Piechnik
S. Neubauer
Daniel Rueckert
MedIm
96
158
0
11 Jun 2018
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
Jingchun Cheng
Yi-Hsuan Tsai
Shengjin Wang
Ming-Hsuan Yang
VOS
74
416
0
20 Sep 2017
Real-Time Video Super-Resolution with Spatio-Temporal Networks and
  Motion Compensation
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Jose Caballero
C. Ledig
Andrew P. Aitken
Alejandro Acosta
J. Totz
Zehan Wang
Wenzhe Shi
SupR
101
665
0
16 Nov 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV3DPCSSeg3DH
160
6,556
0
21 Jun 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
318
7,396
0
05 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
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