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Cascaded Convolutional Neural Network for Automatic Myocardial
  Infarction Segmentation from Delayed-Enhancement Cardiac MRI

Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI

28 December 2020
Yichi Zhang
ArXivPDFHTML

Papers citing "Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI"

6 / 6 papers shown
Title
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images
Matthias Schwab
M. Pamminger
C. Kremser
D. Obmann
Markus Haltmeier
Agnes Mayr
37
1
0
26 Jun 2023
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using
  Deep Transformers and Explainable Artificial Intelligence
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence
M. Jafari
A. Shoeibi
Navid Ghassemi
Jónathan Heras
Saiguang Ling
...
Shuihua Wang
R. Alizadehsani
Juan M Gorriz
U. Acharya
Hamid Alinejad-Rokny
MedIm
22
11
0
26 Oct 2022
Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data
  Augmentation
Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation
D. Lustermans
S. Amirrajab
M. Veta
M. Breeuwer
C. Scannell
MedIm
30
17
0
27 Sep 2021
Deep Learning methods for automatic evaluation of delayed
  enhancement-MRI. The results of the EMIDEC challenge
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
A. Lalande
Zhihao Chen
T. Pommier
Thomas Decourselle
Abdul Qayyum
...
Yichi Zhang
Lihao Liu
Xiahai Zhuang
R. Couturier
F. Mériaudeau
44
43
0
09 Aug 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
66
25
0
01 Jan 2021
Bridging 2D and 3D Segmentation Networks for Computation Efficient
  Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Yichi Zhang
Qingcheng Liao
Leiting Ding
Jicong Zhang
3DV
26
81
0
13 Oct 2020
1