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3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning
  with Spatial Propagation

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

25 April 2018
Q. Zheng
H. Delingette
Nicolas Duchateau
N. Ayache
ArXivPDFHTML

Papers citing "3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation"

14 / 14 papers shown
Title
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation
  on non-contrast head CT: The INSTANCE challenge
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge
Xiangyu Li
Gongning Luo
Kuanquan Wang
Hongyu Wang
Jun Liu
...
Moona Mazher
Abdul Qayyum
Valeriia Abramova
Xavier Llado
Shuo Li
53
28
0
09 Jan 2023
Automatic Quantification of Volumes and Biventricular Function in
  Cardiac Resonance. Validation of a New Artificial Intelligence Approach
Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach
A. Curiale
Matías Calandrelli
Lucca Dellazoppa
Mariano Trevisan
Jorge Luis BociÁn
Juan Pablo Bonifacio
G. Mato
22
0
0
03 Jun 2022
Automatic segmentation with detection of local segmentation failures in
  cardiac MRI
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jörg Sander
B. D. de Vos
Ivana Išgum
17
50
0
13 Nov 2020
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for
  Scar Segmentation and Clinical Feature Extraction
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction
Haley G. Abramson
D. Popescu
R. Yu
Changxin Lai
J. Shade
Katherine C. Wu
Mauro Maggioni
Natalia A. Trayanova
27
3
0
21 Oct 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with
  Denoising Autoencoders
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders
Agostina J. Larrazabal
Cesar E. Martínez
Ben Glocker
Enzo Ferrante
27
65
0
24 Jun 2020
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation
Shuo Wang
G. Tarroni
C. Qin
Yuanhan Mo
Chengliang Dai
Chia-Ju Chen
Ben Glocker
Yike Guo
Daniel Rueckert
Wenjia Bai
MedIm
15
28
0
23 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
11
34
0
15 Apr 2020
Test-Time Adaptable Neural Networks for Robust Medical Image
  Segmentation
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
Neerav Karani
Ertunc Erdil
K. Chaitanya
E. Konukoglu
OOD
23
162
0
09 Apr 2020
Rapid Whole-Heart CMR with Single Volume Super-resolution
Rapid Whole-Heart CMR with Single Volume Super-resolution
J. Steeden
Michael Quail
A. Gotschy
A. Hauptmann
Simon Arridge
R. Jones
V. Muthurangu
27
53
0
22 Dec 2019
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
Chia-Ju Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
64
674
0
09 Nov 2019
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view
  Images
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
Chia-Ju Chen
C. Biffi
G. Tarroni
S. Petersen
Wenjia Bai
Daniel Rueckert
34
52
0
23 Jul 2019
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
30
83
0
08 Nov 2018
Automatic 3D bi-ventricular segmentation of cardiac images by a
  shape-refined multi-task deep learning approach
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
Jinming Duan
Ghalib A. Bello
Jo Schlemper
Wenjia Bai
T. Dawes
C. Biffi
A. de Marvao
Georgia Doumou
D. O’Regan
Daniel Rueckert
MedIm
16
5
0
26 Aug 2018
Fully Convolutional Multi-scale Residual DenseNets for Cardiac
  Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Mahendra Khened
Alex Varghese
Ganapathy Krishnamurthi
24
310
0
16 Jan 2018
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