{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T18:02:52Z","timestamp":1781114572596,"version":"3.54.1"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.patcog.2026.113723","type":"journal-article","created":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T23:47:04Z","timestamp":1776383224000},"page":"113723","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PD","title":["An explicit suppression paradigm for cross-domain medical image segmentation"],"prefix":"10.1016","volume":"179","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6697-514X","authenticated-orcid":false,"given":"Yuheng","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taiping","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8769-496X","authenticated-orcid":false,"given":"Yuqi","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2026.113723_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111274","article-title":"kMaXU: Medical image segmentation U-Net with k-means mask transformer and contrastive cluster assignment","volume":"161","author":"Huang","year":"2025","journal-title":"Pattern Recognit."},{"issue":"4","key":"10.1016\/j.patcog.2026.113723_b2","doi-asserted-by":"crossref","first-page":"1706","DOI":"10.1109\/TFUZZ.2023.3332751","article-title":"Fuzzy inference attention module for unsupervised domain adaptation","volume":"32","author":"Wang","year":"2023","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.patcog.2026.113723_b3","article-title":"Spatially enhanced refined classifier for cross-scene hyperspectral image classification","author":"Wang","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113723_b4","article-title":"Aegis: A domain generalization framework for medical image segmentation by mitigating feature misalignment","author":"Xu","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113723_b5","series-title":"2025 IEEE International Conference on Multimedia and Expo","first-page":"1","article-title":"A domain generalization framework based on wavelet-driven structural enhancement and contrastive alignment","author":"Xu","year":"2025"},{"key":"10.1016\/j.patcog.2026.113723_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111416","article-title":"Generative feature style augmentation for domain generalization in medical image segmentation","volume":"162","author":"Huang","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113723_b7","series-title":"European Conference on Computer Vision","first-page":"159","article-title":"Learning from extrinsic and intrinsic supervisions for domain generalization","author":"Wang","year":"2020"},{"key":"10.1016\/j.patcog.2026.113723_b8","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"6277","article-title":"Learning to generalize unseen domains via memory-based multi-source meta-learning for person re-identification","author":"Zhao","year":"2021"},{"key":"10.1016\/j.patcog.2026.113723_b9","series-title":"2020 25th International Conference on Pattern Recognition","first-page":"9756","article-title":"Respecting domain relations: Hypothesis invariance for domain generalization","author":"Wang","year":"2021"},{"issue":"9","key":"10.1016\/j.patcog.2026.113723_b10","first-page":"5516","article-title":"Self-supervised learning across domains","volume":"44","author":"Bucci","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113723_b11","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.patcog.2026.113723_b12","first-page":"3","article-title":"Unet++: A nested u-net architecture for medical image segmentation","author":"Zhou","year":"2018"},{"key":"10.1016\/j.patcog.2026.113723_b13","series-title":"Attention u-net: Learning where to look for the pancreas","author":"Oktay","year":"2018"},{"key":"10.1016\/j.patcog.2026.113723_b14","series-title":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society","first-page":"998","article-title":"Automatic brain tumor segmentation method based on modified convolutional neural network","author":"Yang","year":"2019"},{"key":"10.1016\/j.patcog.2026.113723_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110491","article-title":"UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation","volume":"152","author":"Guo","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113723_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111254","article-title":"PA-Net: A hybrid architecture for retinal vessel segmentation","volume":"161","author":"Luo","year":"2025","journal-title":"Pattern Recognit."},{"issue":"1","key":"10.1016\/j.patcog.2026.113723_b17","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/s10994-009-5152-4","article-title":"A theory of learning from different domains","volume":"79","author":"Ben-David","year":"2010","journal-title":"Mach. Learn."},{"key":"10.1016\/j.patcog.2026.113723_b18","series-title":"International Conference on Machine Learning","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"Long","year":"2015"},{"key":"10.1016\/j.patcog.2026.113723_b19","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"7167","article-title":"Adversarial discriminative domain adaptation","author":"Tzeng","year":"2017"},{"key":"10.1016\/j.patcog.2026.113723_b20","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.patcog.2026.113723_b21","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"3521","article-title":"Adversarial-learned loss for domain adaptation","volume":"Vol. 34","author":"Chen","year":"2020"},{"key":"10.1016\/j.patcog.2026.113723_b22","series-title":"Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13\u201317, 2019, Proceedings, Part IV 22","first-page":"365","article-title":"Generalizable feature learning in the presence of data bias and domain class imbalance with application to skin lesion classification","author":"Yoon","year":"2019"},{"key":"10.1016\/j.patcog.2026.113723_b23","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"7980","article-title":"Addressing model vulnerability to distributional shifts over image transformation sets","author":"Volpi","year":"2019"},{"issue":"3","key":"10.1016\/j.patcog.2026.113723_b24","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1007\/s11263-023-01913-8","article-title":"Mixstyle neural networks for domain generalization and adaptation","volume":"132","author":"Zhou","year":"2024","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.patcog.2026.113723_b25","article-title":"Teacher-student instance-level adversarial augmentation for single domain generalized medical image segmentation","author":"Wang","year":"2025","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.patcog.2026.113723_b26","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"2229","article-title":"Domain generalization by solving jigsaw puzzles","author":"Carlucci","year":"2019"},{"key":"10.1016\/j.patcog.2026.113723_b27","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"2551","article-title":"Domain generalization for object recognition with multi-task autoencoders","author":"Ghifary","year":"2015"},{"key":"10.1016\/j.patcog.2026.113723_b28","series-title":"Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2020: 23rd International Conference, Lima, Peru, October 4\u20138, 2020, Proceedings, Part II 23","first-page":"475","article-title":"Shape-aware meta-learning for generalizing prostate MRI segmentation to unseen domains","author":"Liu","year":"2020"},{"issue":"11","key":"10.1016\/j.patcog.2026.113723_b29","doi-asserted-by":"crossref","first-page":"2842","DOI":"10.1007\/s11263-022-01674-w","article-title":"Cross-domain gated learning for domain generalization","volume":"130","author":"Du","year":"2022","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.patcog.2026.113723_b30","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"14","article-title":"Devil is in channels: Contrastive single domain generalization for medical image segmentation","author":"Hu","year":"2023"},{"key":"10.1016\/j.patcog.2026.113723_b31","series-title":"2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","first-page":"1","article-title":"Domain-specific progressive channel dropout: Single-source domain generalization for vessel segmentation in X-ray coronary angiography","author":"Atwany","year":"2025"},{"key":"10.1016\/j.patcog.2026.113723_b32","series-title":"Proceedings of the 31st ACM International Conference on Multimedia","first-page":"280","article-title":"A closer look at classifier in adversarial domain generalization","author":"Wang","year":"2023"},{"key":"10.1016\/j.patcog.2026.113723_b33","series-title":"Generalizing across domains via cross-gradient training","author":"Shankar","year":"2018"},{"key":"10.1016\/j.patcog.2026.113723_b34","series-title":"2018 25th IEEE International Conference on Image Processing","first-page":"1353","article-title":"Best sources forward: domain generalization through source-specific nets","author":"Mancini","year":"2018"},{"issue":"12","key":"10.1016\/j.patcog.2026.113723_b35","doi-asserted-by":"crossref","first-page":"4237","DOI":"10.1109\/TMI.2020.3015224","article-title":"Dofe: Domain-oriented feature embedding for generalizable fundus image segmentation on unseen datasets","volume":"39","author":"Wang","year":"2020","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"10.1016\/j.patcog.2026.113723_b36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3565266","article-title":"PLACE dropout: A progressive layer-wise and channel-wise dropout for domain generalization","volume":"20","author":"Guo","year":"2023","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"10.1016\/j.patcog.2026.113723_b37","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"89","article-title":"Treasure in distribution: A domain randomization based multi-source domain generalization for 2d medical image segmentation","author":"Chen","year":"2023"},{"key":"10.1016\/j.patcog.2026.113723_b38","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"20856","article-title":"Generalizable cross-modality medical image segmentation via style augmentation and dual normalization","author":"Zhou","year":"2022"},{"key":"10.1016\/j.patcog.2026.113723_b39","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"19114","article-title":"Domaindrop: Suppressing domain-sensitive channels for domain generalization","author":"Guo","year":"2023"},{"key":"10.1016\/j.patcog.2026.113723_b40","series-title":"European Conference on Computer Vision","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"Zeiler","year":"2014"},{"key":"10.1016\/j.patcog.2026.113723_b41","series-title":"International Conference on Machine Learning","first-page":"12356","article-title":"Can subnetwork structure be the key to out-of-distribution generalization?","author":"Zhang","year":"2021"},{"key":"10.1016\/j.patcog.2026.113723_b42","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1013","article-title":"Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space","author":"Liu","year":"2021"},{"key":"10.1016\/j.patcog.2026.113723_b43","series-title":"European Conference on Computer Vision","first-page":"420","article-title":"Generalizable medical image segmentation via random amplitude mixup and domain-specific image restoration","author":"Zhou","year":"2022"},{"issue":"12","key":"10.1016\/j.patcog.2026.113723_b44","doi-asserted-by":"crossref","first-page":"3699","DOI":"10.1109\/TMI.2022.3193146","article-title":"Aadg: automatic augmentation for domain generalization on retinal image segmentation","volume":"41","author":"Lyu","year":"2022","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.patcog.2026.113723_b45","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"650","article-title":"Domain specific convolution and high frequency reconstruction based unsupervised domain adaptation for medical image segmentation","author":"Hu","year":"2022"},{"key":"10.1016\/j.patcog.2026.113723_b46","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.patcog.2026.113723_b47","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"618","article-title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","author":"Selvaraju","year":"2017"},{"key":"10.1016\/j.patcog.2026.113723_b48","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102904","article-title":"CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation","volume":"89","author":"Gu","year":"2023","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.patcog.2026.113723_b49","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"810","article-title":"Learning generalized medical image segmentation from decoupled feature queries","volume":"Vol. 38","author":"Bi","year":"2024"},{"key":"10.1016\/j.patcog.2026.113723_b50","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"2000","article-title":"Domain generalization with correlated style uncertainty","author":"Zhang","year":"2024"},{"key":"10.1016\/j.patcog.2026.113723_b51","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"464","article-title":"From denoising training to test-time adaptation: Enhancing domain generalization for medical image segmentation","author":"Wen","year":"2024"},{"key":"10.1016\/j.patcog.2026.113723_b52","article-title":"Learning robust shape regularization for generalizable medical image segmentation","author":"Chen","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.patcog.2026.113723_b53","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2024.107073","article-title":"Dynamic domain generalization for medical image segmentation","volume":"184","author":"Cheng","year":"2025","journal-title":"Neural Netw."},{"key":"10.1016\/j.patcog.2026.113723_b54","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111184","article-title":"Exploring latent transferability of feature components","volume":"160","author":"Wang","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113723_b55","series-title":"Transunet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021"}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326006886?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326006886?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T17:16:32Z","timestamp":1781111792000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326006886"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":55,"alternative-id":["S0031320326006886"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113723","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An explicit suppression paradigm for cross-domain medical image segmentation","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113723","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"113723"}}