{"url":"/dataset/learn2reg","name":"Learn2Reg","full_name":null,"description_markdown":"**Learn2Reg** is a dataset for medical image registration. Learn2Reg covers a wide range of anatomies (brain, abdomen, and thorax), modalities (ultrasound, CT, MR), availability of annotations, as well as intra- and inter-patient registration evaluation.","description_withheld":null,"homepage":"https://learn2reg.grand-challenge.org/","introduced_date":"2021-12-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/learn2reg-comprehensive-multi-task-medical","title":"Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning","first_author":"Alessa Hering","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Medical Image Registration","url":"/task/medical-image-registration","datasets_with_task":"/datasets/task/medical-image-registration"},{"name":"Image Registration","url":"/task/image-registration","datasets_with_task":"/datasets/task/image-registration"}],"languages":[],"variants":["Learn2Reg","Unpaired-abdomen-CT","Unpaired-lung-CT"],"data_loaders":[],"num_papers_in_archive":37,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-registration-on-unpaired-abdomen-ct","task":"Image Registration","dataset_variant":"Unpaired-abdomen-CT","rows":9,"metrics":["DSC","ASD"],"first_row_in_archive_order":{"model":"RAN4+","paper":"/paper/residual-aligner-based-network-ran-motion","metrics":{"ASD":"6.51","DSC":"0.617"},"code_links":[{"title":"jianqingzheng/res_aligner_net","url":"https://github.com/jianqingzheng/res_aligner_net"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-registration-on-unpaired-lung-ct","task":"Image Registration","dataset_variant":"Unpaired-lung-CT","rows":4,"metrics":["ASD","DSC"],"first_row_in_archive_order":{"model":"RAN3","paper":"/paper/residual-aligner-based-network-ran-motion","metrics":{"ASD":"3.01","DSC":"0.935"},"code_links":[{"title":"jianqingzheng/res_aligner_net","url":"https://github.com/jianqingzheng/res_aligner_net"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/spatially-covariant-image-registration-with","title":"Spatially Covariant Image Registration with Text Prompts","date":"2023-11-27","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/same-a-self-supervised-anatomical-embeddings","title":"SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation","date":"2023-11-25","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":5,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/residual-aligner-based-network-ran-motion","title":"Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration","date":"2023-11-21","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/recurrent-image-registration-using-mutual","title":"Recursive Deformable Image Registration Network with Mutual Attention","date":"2022-06-04","rows_on_this_dataset":4,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":5,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}