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Comparing Deep Learning strategies for paired but unregistered
  multimodal segmentation of the liver in T1 and T2-weighted MRI

Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI

18 January 2021
V. Couteaux
Mathilde Trintignac
O. Nempont
G. Pizaine
A. Vlachomitrou
P. Valette
L. Milot
Isabelle Bloch
ArXivPDFHTML

Papers citing "Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI"

1 / 1 papers shown
Title
FedNorm: Modality-Based Normalization in Federated Learning for
  Multi-Modal Liver Segmentation
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker
Annette Peters
C. Schlett
F. Bamberg
Fabian J. Theis
Daniel Rueckert
J. Weiss
Shadi Albarqouni
FedML
MedIm
32
20
0
23 May 2022
1