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Fully automated deep learning based segmentation of normal, infarcted
  and edema regions from multiple cardiac MRI sequences

Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences

18 August 2020
Xiaoran Zhang
M. Noga
K. Punithakumar
ArXiv (abs)PDFHTML

Papers citing "Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences"

15 / 15 papers shown
RL-U$^2$Net: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation
RL-U2^22Net: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation
Jierui Qu
Jianchun Zhao
OffRL
157
0
0
04 Aug 2025
Simultaneous Deep Learning of Myocardium Segmentation and T2
  Quantification for Acute Myocardial Infarction MRI
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI
Yirong Zhou
Chengyan Wang
Mengtian Lu
Kunyuan Guo
Zi Wang
...
Liuhong Zhu
Jianjun Zhou
Congbo Cai
He Wang
Xiaobo Qu
298
1
0
17 May 2024
Learning correspondences of cardiac motion from images using
  biomechanics-informed modeling
Learning correspondences of cardiac motion from images using biomechanics-informed modeling
Xiaoran Zhang
Chenyu You
S. Ahn
Juntang Zhuang
Lawrence H. Staib
James Duncan
158
16
0
01 Sep 2022
Multi-Modality Cardiac Image Computing: A Survey
Multi-Modality Cardiac Image Computing: A Survey
Lei Li
Wangbin Ding
Liqun Huang
Xiahai Zhuang
Vicente Grau
182
41
0
26 Aug 2022
Incremental Learning Meets Transfer Learning: Application to Multi-site
  Prostate MRI Segmentation
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
Chenyu You
Jinlin Xiang
Kun Su
Xiaoran Zhang
Siyuan Dong
J. Onofrey
Lawrence H. Staib
James S. Duncan
CLL
339
71
0
03 Jun 2022
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining
  Three-Sequence Cardiac Magnetic Resonance Images
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
Lei Li
Fuping Wu
Sihan Wang
Xinzhe Luo
Carlos Martín-Isla
...
Guocai Liu
Yong-quan Xia
Guotai Wang
Sergio Escalera
Xiahai Zhuang
147
48
0
10 Jan 2022
Multi-Modality Cardiac Image Analysis with Deep Learning
Multi-Modality Cardiac Image Analysis with Deep Learning
Lei Li
Fuping Wu
Sihan Wang
Xiahai Zhuang
188
3
0
08 Nov 2021
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for
  Semi-Supervised Medical Image Segmentation
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Chenyu You
Yuan Zhou
Ruihan Zhao
Lawrence H. Staib
James S. Duncan
252
273
0
13 Aug 2021
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2019
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
399
3,291
0
11 Dec 2019
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts
  Framework
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
Lei Li
Fuping Wu
Guang Yang
Lingchao Xu
T. Wong
R. Mohiaddin
D. Firmin
J. Keegan
Xiahai Zhuang
MedIm
139
76
0
21 Feb 2019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
1.2K
7,814
0
18 Jul 2018
Multivariate mixture model for myocardium segmentation combining
  multi-source images
Multivariate mixture model for myocardium segmentation combining multi-source imagesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
Xiahai Zhuang
253
322
0
28 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.7K
217,209
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
3.2K
89,469
0
18 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
3.7K
108,399
0
04 Sep 2014
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