{"ID":2875788,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.01217","arxiv_id":"2509.01217","title":"Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges","abstract":"Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the Learn2Reg 2020-2023 challenges have released several complementary datasets and established metrics for evaluations. Building on this foundation, the 2024 edition expands the challenge's scope to cover a wider range of registration scenarios, particularly in terms of modality diversity and task complexity, by introducing three new tasks, including large-scale multi-modal registration and unsupervised inter-subject brain registration, as well as the first microscopy-focused benchmark within Learn2Reg. The new datasets also inspired new method developments, including invertibility constraints, pyramid features, keypoints alignment and instance optimisation. Visit Learn2Reg at https://learn2reg.grand-challenge.org.","short_abstract":"Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the Learn2Reg 2020-2023 challenges have released several complementary datasets and established metrics for evaluations. Building on this found...","url_abs":"https://arxiv.org/abs/2509.01217","url_pdf":"https://arxiv.org/pdf/2509.01217v3","authors":"[\"Lasse Hansen\",\"Wiebke Heyer\",\"Christoph Großbröhmer\",\"Frederic Madesta\",\"Thilo Sentker\",\"Wang Jiazheng\",\"Yuxi Zhang\",\"Hang Zhang\",\"Min Liu\",\"Junyi Wang\",\"Xi Zhu\",\"Yuhua Li\",\"Liwen Wang\",\"Daniil Morozov\",\"Nazim Haouchine\",\"Joel Honkamaa\",\"Pekka Marttinen\",\"Yichao Zhou\",\"Zuopeng Tan\",\"Zhuoyuan Wang\",\"Yi Wang\",\"Hongchao Zhou\",\"Shunbo Hu\",\"Yi Zhang\",\"Qian Tao\",\"Lukas Förner\",\"Thomas Wendler\",\"Bailiang Jian\",\"Christian Wachinger\",\"Jin Kim\",\"Dan Ruan\",\"Marek Wodzinski\",\"Henning Müller\",\"Tony C. W. Mok\",\"Xi Jia\",\"Jinming Duan\",\"Mikael Brudfors\",\"Seyed-Ahmad Ahmadi\",\"Yunzheng Zhu\",\"William Hsu\",\"Tina Kapur\",\"William M. Wells\",\"Alexandra Golby\",\"Aaron Carass\",\"Harrison Bai\",\"Yihao Liu\",\"Perrine Paul-Gilloteaux\",\"Joakim Lindblad\",\"Nataša Sladoje\",\"Andreas Walter\",\"Junyu Chen\",\"Reuben Dorent\",\"Alessa Hering\",\"Mattias P. Heinrich\"]","published":"2025-09-01T08:03:07Z","proceeding":"eess.IV","tasks":"[\"eess.IV\",\"cs.CV\"]","methods":"[]","project_urls":"[\"https://learn2reg.grand-challenge.org\"]","has_code":false,"code_links":[{"ID":610241,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2875788,"paper_url":"https://arxiv.org/abs/2509.01217","paper_title":"Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges","repo_url":"https://github.com/MDL-UzL/L2R","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0},{"ID":610242,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2875788,"paper_url":"https://arxiv.org/abs/2509.01217","paper_title":"Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges","repo_url":"https://github.com/DIAGNijmegen/rse-grand-challenge","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}