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Reliable Source Approximation: Source-Free Unsupervised Domain
  Adaptation for Vestibular Schwannoma MRI Segmentation

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation

25 May 2024
Hongye Zeng
Ke Zou
Zhihao Chen
Ru Zheng
Huazhu Fu
    MedIm
    DiffM
ArXivPDFHTML

Papers citing "Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation"

4 / 4 papers shown
Title
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
124
64
0
06 Aug 2021
Visualizing Adapted Knowledge in Domain Transfer
Visualizing Adapted Knowledge in Domain Transfer
Yunzhong Hou
Liang Zheng
111
52
0
20 Apr 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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