Papers for Domain Adaptation

Catalogue:

1. Unsupervised Domain Adaptation (UDA)
2. Semi-supervised Domain Adaptation (SDA)
3. Weakly-supervised Domain Adaptation (WDA)
4. Test-time Domain Adaptation (TDA)

Unsupervised-Domain-Adaptation

• Shape-aware Joint Distribution Alignment for Cross-domain Image Segmentation Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
  [code]
  IEEE Transactions on Medical Imaging (2023)

• Unsupervised Cross-modality Adaptation via Dual Structural-Oriented Guidance for 3D Medical Image Segmentation
  Junlin Xian, Xiang Li, Dandan Tu, Senhua Zhu, Changzheng Zhang, Xiaowu Liu, Xin Li, Xin Yang
  IEEE Transactions on Medical Imaging (2023)

• Domain Adapted Multitask Learning for Segmenting Amoeboid Cells in Microscopy
  Suvadip Mukherjee, Rituparna Sarkar, Maria Manich, Elisabeth Labruyère, Jean-Christophe Olivo-Marin
  IEEE Transactions on Medical Imaging (2022)

• LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
  Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou
  IEEE Transactions on Medical Imaging (2022)

• Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching
  Jun Gao, Qicheng Lao, Qingbo Kang, Paul Liu, Le Zhang, Kang Li
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

• Attention-Enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation
  [code]
  Xiaoyi Sun, Zhizhe Liu, Shuai Zheng, Chen Lin, Zhenfeng Zhu, Yao Zhao
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

• Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis
  Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

• Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation
  [code]
  Shishuai Hu, Zehui Liao, Yong Xia
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

• Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training
  Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, and Yefeng Zheng
  IEEE Transactions on Medical Imaging (2022)

• CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation
  Runze Wang, Guoyan Zheng
  Medical Imaging Analysis (2022)

• Domain generalization on medical imaging classification using episodic training with task augmentation
  Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu
  Computers in Biology and Medicine (2022)

• Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation
  Rongguang Wang, PratikChaudhari, ChristosDavatzikos
  Medical Imaging Analysis (2022)

• Domain Adaptation for Medical Image Analysis: A Survey
  Hao Guan, Mingxia Liu
  IEEE Transactions on Biomedical Engineering (2022)

• Source Free Domain Adaptation for Medical Image Segmentation with Fourier Style Mining
  [code]
  Chen Yang, Xiaoqing Guo, Zhen Chen, Yixuan Yuan
  Medical Imaging Analysis (2022)

• Graph-Based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge
  [code]
  Jie Liu, Xiaoqing Guo, Yixuan Yuan
  IEEE Transactions on Medical Imaging (2022)

• Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation
  Geng-Xin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen
  IEEE Transactions on Medical Imaging (2022)

• Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint
  Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng
  IEEE Transactions on Medical Imaging (2022)

• Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation
  Zhiming Cui, Changjian Li, Zhixu Du, Nenglun Chen, Guodong Wei, Runnan Chen, Lei Yang, Dinggang, Wenping Wang
  IEEE Transactions on Medical Imaging (2021)

• Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation
  Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021)

• A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
  Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng
  International Conference on Information Processing in Medical Imaging (IPMI 2021)

• Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization
  Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge
  arXiv preprint arXiv:2108.01821 (2021)

• Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation
  [code]
  Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao IEEE Transactions on Medical Imaging (2021)

• Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation
  [code] / [data]
  Fuping Wu, Xiahai Zhuang
  IEEE Transactions on Medical Imaging (2021)

• Disentangle domain features for cross-modality cardiac image segmentation
  [code]
  Chenhao Pei, Fuping Wu, Liqin Huang, Xiahai Zhuang
  Medical Image Analysis (2021)

• Rethinking adversarial domain adaptation: Orthogonal decomposition for unsupervised domain adaptation in medical image segmentation
  [code]
  Yongheng Sun, Duwei Dai, Songhua Xu
  Medical Image Analysis (2022)

• CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation
  [code] / [data]
  Fuping Wu, Xiahai Zhuang
  IEEE Transactions on Medical Imaging (2020)

• Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation
  [Journal] / [code]
  Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020)

• MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint
  Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020)

• Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation (oral)
  [Journal] / [code] / [data]
  Cheng Chen, Qi Dou, Hao Chen, Jing Qin, and Pheng-Ann Heng
  Association for the Advancement of Artificial Intelligence (AAAI 2019)

• Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (oral)
  [Journal] / [code] / [data]
  Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
  International Joint Conferences on Artificial Intelligence (IJCAI 2018)

• Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks
  Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig, Virginia F.J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
  arXiv preprint arXiv:1612.08894 (2016)

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Semi-Supervised Domain Adaptation

• Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
  [code]
  Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang
  IEEE Transactions on Medical Imaging (2022)

• SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation
  Jingyang Zhang, Ran Gu, Guotai Wang, Hongzhi Xie, Lixu Gu
  International Symposium on Biomedical Imaging (ISBI 2021)

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Weakly-Supervised Domain Adaptation

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Test-Time Domain Adaptation

• Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation Ziyang Chen, Yiwen Ye, Mengkang Lu, Yongsheng Pan, Yong Xia
  [code]
  arXiv preprint arXiv:2311.18363 (2023)

• Autoencoder based self-supervised test-time adaptation for medical image analysis
  Yufan He, Aaron Carass, Lianrui Zuo, Blake E.Dewey, Jerry L.Princea
  [code]
  Medical Image Analysis (2022)

• ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation
  Shishuai Hu, Zehui Liao, Yong Xia
  arXiv preprint arXiv:2211.11514 (2022)

• Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
  [code]
  Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data
  Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-yu Tong
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

• Test-Time Adaptation with Shape Moments for Image Segmentation [code]
  Mathilde Bateson, Hervé Lombaert, Ismail Ben Ayed
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)

• Source-free domain adaptation for image segmentation
  [code]
  Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed
  Medical Image Analysis (2022)

• Source free domain adaptation for medical image segmentation with fourier style mining
  [code]
  Chen Yang, Xiaoqing Guo, Zhen Chen, Yixuan Yuan
  Medical Image Analysis (2022)

• Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
  [code]
  Cheng Chen, Quande Liu, Yueming Jin, Qi Dou & Pheng-Ann Heng
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021)

• Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
  Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu
  Medical Image Analysis (2020)

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