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Domain Adaptation for Medical Image Segmentation using
  Transformation-Invariant Self-Training

Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training

31 July 2023
Negin Ghamsarian
Javier Gamazo Tejero
Pablo Márquez-Neila
Sebastian Wolf
M. Zinkernagel
Klaus Schoeffmann
Raphael Sznitman
    OOD
ArXiv (abs)PDFHTML

Papers citing "Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training"

17 / 17 papers shown
Title
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
Hao Ding
Tuxun Lu
Yuqian Zhang
Ruixing Liang
Hongchao Shu
...
Bo Wang
Marcos Fernández-Rodríguez
Estevao Lima
João L. Vilaça
Mathias Unberath
213
4
0
16 Jul 2024
Unsupervised Domain Adaptation with Contrastive Learning for OCT
  Segmentation
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation
Alvaro Gomariz
Huanxiang Lu
Yun Yvonna Li
Thomas Albrecht
Andreas Maunz
Fethallah Benmansour
A. Valcarcel
Jennifer Luu
Daniela Ferrara
O. Goksel
29
12
0
07 Mar 2022
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic
  Segmentation in Cataract Surgery Videos
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
Negin Ghamsarian
M. Taschwer
Doris Putzgruber-Adamitsch
Stephanie Sarny
Y. El-Shabrawi
Klaus Schoeffmann
44
10
0
25 Sep 2021
DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for
  Semantic Segmentation in Cataract Surgery Videos
DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
Negin Ghamsarian
M. Taschwer
Klaus Schoeffmann
63
11
0
11 Sep 2021
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in
  Cataract Surgery Videos
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos
Negin Ghamsarian
M. Taschwer
Doris Putzgruber-Adamitsch
Stephanie Sarny
Y. El-Shabrawi
Klaus Schoeffmann
58
17
0
02 Jul 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic
  Segmentation
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
52
314
0
09 Jun 2021
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Xiaokang Chen
Yuhui Yuan
Gang Zeng
Jingdong Wang
96
785
0
02 Jun 2021
Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action
  Localization
Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization
Negin Ghamsarian
M. Taschwer
Doris Putzgruber-Adamitsch
Stephanie Sarny
Klaus Schoeffmann
31
16
0
29 Apr 2021
Test-time Unsupervised Domain Adaptation
Test-time Unsupervised Domain Adaptation
Thomas Varsavsky
Mauricio Orbes-Arteaga
Carole H. Sudre
M. Graham
P. Nachev
M. Jorge Cardoso
OOD
56
56
0
05 Oct 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
86
552
0
18 Jun 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with
  Heterogeneous MRI Data
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Quande Liu
Qi Dou
Lequan Yu
Pheng Ann Heng
OOD
120
282
0
09 Feb 2020
Transformation Consistent Self-ensembling Model for Semi-supervised
  Medical Image Segmentation
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Xuelong Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
MedIm
62
386
0
28 Feb 2019
Unsupervised domain adaptation for medical imaging segmentation with
  self-ensembling
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
C. Perone
P. Ballester
Rodrigo C. Barros
Julien Cohen-Adad
OOD
87
208
0
14 Nov 2018
Recalibrating Fully Convolutional Networks with Spatial and Channel
  'Squeeze & Excitation' Blocks
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks
Abhijit Guha Roy
Nassir Navab
Christian Wachinger
SSeg
110
380
0
23 Aug 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
477
13,168
0
07 Feb 2018
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,566
0
07 Oct 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
1