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Learning joint segmentation of tissues and brain lesions from
  task-specific hetero-modal domain-shifted datasets

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets

8 September 2020
R. Dorent
Thomas C Booth
Wenqi Li
Carole H. Sudre
S. Kafiabadi
M. Jorge Cardoso
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
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Papers citing "Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets"

5 / 5 papers shown
Title
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
30
12
0
11 Feb 2023
Multi-center anatomical segmentation with heterogeneous labels via
  landmark-based models
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
Nicolás Gaggion
Maria Vakalopoulou
Diego H. Milone
Enzo Ferrante
30
5
0
14 Nov 2022
Can segmentation models be trained with fully synthetically generated
  data?
Can segmentation models be trained with fully synthetically generated data?
Virginia Fernandez
W. H. Pinaya
Pedro Borges
Petru-Daniel Tudosiu
M. Graham
Tom Kamiel Magda Vercauteren
M. Jorge Cardoso
DiffM
MedIm
43
45
0
17 Sep 2022
Label-set Loss Functions for Partial Supervision: Application to Fetal
  Brain 3D MRI Parcellation
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
Lucas Fidon
Michael Aertsen
Doaa Emam
Nada Mufti
Frédéric Guffens
...
A. David
Andrew Melbourne
Sébastien Ourselin
Jam Deprest
Tom Kamiel Magda Vercauteren
26
23
0
08 Jul 2021
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
138
426
0
09 Mar 2020
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