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Self-Training Based Unsupervised Cross-Modality Domain Adaptation for
  Vestibular Schwannoma and Cochlea Segmentation

Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation

22 September 2021
Hyungseob Shin
Hyeongyu Kim
Sewon Kim
Yohan Jun
Taejoon Eo
D. Hwang
    OOD
ArXivPDFHTML

Papers citing "Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation"

4 / 4 papers shown
Title
Image-level supervision and self-training for transformer-based
  cross-modality tumor segmentation
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Malo de Boisredon
Eugene Vorontsov
W. Le
Samuel Kadoury
MedIm
ViT
19
0
0
17 Sep 2023
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain
  Adaptation
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation
Paolo Iacono
N. Khan
OOD
MedIm
21
3
0
18 Apr 2023
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma
  Segmentation
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation
Shahad Hardan
Hussain Alasmawi
Xiangjiang Hou
Mohammad Yaqub
13
0
0
13 Mar 2023
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation
  techniques for Vestibular Schwannoma and Cochlea Segmentation
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation
R. Dorent
A. Kujawa
M. Ivory
Spyridon Bakas
Nicola Rieke
...
Kai Yao
Li Zhang
Sebastien Ourselin
J. Shapey
Tom Kamiel Magda Vercauteren
OOD
18
78
0
08 Jan 2022
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