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Unsupervised Domain Adaptation with Contrastive Learning for OCT
  Segmentation
v1v2 (latest)

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
7 March 2022
Alvaro Gomariz
Huanxiang Lu
Yun Yvonna Li
Thomas Albrecht
Andreas Maunz
Fethallah Benmansour
A. Valcarcel
Jennifer Luu
Daniela Ferrara
O. Goksel
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation"

7 / 7 papers shown
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
Alvaro Gomariz
Yusuke Kikuchi
Yun Yvonna Li
Thomas Albrecht
Andreas Maunz
Daniela Ferrara
Huanxiang Lu
Orçun Göksel
VLM
301
0
0
08 May 2024
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for
  Layer Segmentation
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Yuli Wu
Weidong He
Dennis Eschweiler
Ningxin Dou
Zixin Fan
Shengli Mi
Peter Walter
Johannes Stegmaier
MedImDiffM
269
6
0
09 Nov 2023
Medical Image Segmentation with Domain Adaptation: A Survey
Medical Image Segmentation with Domain Adaptation: A Survey
Yuemeng Li
Yong-Xian Fan
OOD
305
3
0
03 Nov 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
289
21
0
10 Oct 2023
Domain Adaptation for Medical Image Segmentation using
  Transformation-Invariant Self-Training
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-TrainingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Negin Ghamsarian
Javier Gamazo Tejero
Pablo Márquez-Neila
Sebastian Wolf
M. Zinkernagel
Klaus Schoeffmann
Raphael Sznitman
OOD
178
14
0
31 Jul 2023
Deep learning for unsupervised domain adaptation in medical imaging:
  Recent advancements and future perspectives
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
S. Kumari
Pravendra Singh
OOD
276
48
0
18 Jul 2023
Generative Feature-driven Image Replay for Continual Learning
Generative Feature-driven Image Replay for Continual LearningImage and Vision Computing (IVC), 2021
Kevin Thandiackal
Tiziano Portenier
Andrea Giovannini
M. Gabrani
O. Goksel
CLLVLMDiffM
216
13
0
09 Jun 2021
1
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