{"paper":{"title":"crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Aaron Kujawa, Anna Oviedova, Benoit M. Dawant, Bogyeong Kang, Cancan Chen, Chih-Cheng Hung, Cuntai Guan, Guillaume Sall\\'e, Han Liu, Hexin Dong, Hussain Alasmawi, Ipek Oguz, Jonathan Shapey, Lisheng Wang, Li Zhang, Luyi Han, Maria Baldeon Calisto, Marina Ivory, Mina Rezaei, Mohamed Okasha, Mohammad Yaqub, Navodini Wijethilake, Patrick Langenhuizen, Reuben Dorent, Ritse Mann, Rongguo Zhang, Santosh Sanjeev, Satoshi Kasai, Satoshi Kondo, Shahad Hardan, Shaikh Muhammad Uzair Noman, Stefan Cornelissen, Susana K. Lai-Yuen, Tae-Eui Kam, Tao Yang, Tom Vercauteren, Vincent Jaouen, Yubo Fan, Yunzhi Huang, Yuzhou Zhuang, Ziyuan Zhao","submitted_at":"2025-06-13T17:56:39Z","abstract_excerpt":"The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), focuses on unsupervised cross-modality segmentation, learning from contrast-enhanced T1 (ceT1) and transferring to T2 MRI. The task is an extreme example of domain shift chosen to serve as a meaningful and illustrative benchmark. From a clinical application perspective, it aims to automate Vestibular Schwannoma (VS) and cochlea segmentation on T2 scans for more cost-effective VS management. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12006","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.12006/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}