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2108.04016
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Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
9 August 2021
A. Lalande
Zhihao Chen
T. Pommier
Thomas Decourselle
Abdul Qayyum
M. Salomon
D. Ginhac
Youssef Skandarani
A. Boucher
K. Brahim
Marleen de Bruijne
Robin Camarasa
T. Correia
Xue Feng
K. Girum
A. Hennemuth
Markus Huellebrand
Raabid Hussain
Matthias Ivantsits
Jun Ma
C. Meyer
Rishabh Sharma
Jixi Shi
N. Tsekos
Marta Varela
Xiyue Wang
Sen Yang
Hannu Zhang
Yichi Zhang
Yuncheng Zhou
Xiahai Zhuang
R. Couturier
F. Mériaudeau
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Papers citing
"Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge"
4 / 4 papers shown
Title
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
Yichi Zhang
Shiyao Hu
Sijie Ren
Chen Jiang
Yuan-Chia Cheng
Yuan Qi
MedIm
15
3
0
17 Nov 2023
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
18
1
0
26 Jun 2023
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
Irem Cetin
Maialen Stephens
Oscar Camara
M. A. G. Ballester
DRL
27
38
0
20 Mar 2022
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
1