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Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR
  Detection, Orientation, and Segmentation with Deep Neural Networks
v1v2v3 (latest)

Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks

3 November 2017
D. Vigneault
Weidi Xie
Carolyn Y. Ho
D. Bluemke
J. A. Noble
ArXiv (abs)PDFHTML

Papers citing "Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks"

3 / 3 papers shown
Title
Right Ventricular Segmentation from Short- and Long-Axis MRIs via
  Information Transition
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition
Lei Li
Wangbin Ding
Liqun Huang
Xiahai Zhuang
98
12
0
05 Sep 2021
LU-Net: a multi-task network to improve the robustness of segmentation
  of left ventriclular structures by deep learning in 2D echocardiography
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography
Sarah Leclerc
Erik Smistad
Andreas Østvik
F. Cervenansky
F. Espinosa
...
T. Grenier
Carole Lartizien
Pierre-Marc Jodoin
L. Løvstakken
Olivier Bernard
44
1
0
04 Apr 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
148
54
0
23 Jul 2019
1