{"url":"/dataset/ppmi","name":"PPMI","full_name":"Parkinson’s Progression Markers Initiative","description_markdown":"The **Parkinson’s Progression Markers Initiative** (**PPMI**) dataset originates from an observational clinical and longitudinal study comprising evaluations of people with Parkinson’s disease (PD), those people with high risk, and those who are healthy.\r\n\r\nSource: [Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data](https://arxiv.org/abs/1912.00773)\r\nImage Source: [https://www.ppmi-info.org/2013/08/imaging-inventory-whats-in-the-ppmi-database-2/](https://www.ppmi-info.org/2013/08/imaging-inventory-whats-in-the-ppmi-database-2/)","description_withheld":null,"homepage":"https://www.ppmi-info.org/access-data-specimens/download-data/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":null,"title":"The parkinson progression marker initiative (ppmi)","first_author":null,"url":"http://dx.doi.org/10.1016/j.pneurobio.2011.09.005"},"license":{"name":"Custom","url":"https://www.ppmi-info.org/access-data-specimens/download-data/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Reconstruction","url":"/task/reconstruction","datasets_with_task":"/datasets/task/reconstruction"},{"name":"Medical Image Registration","url":"/task/medical-image-registration","datasets_with_task":"/datasets/task/medical-image-registration"},{"name":"Diffeomorphic Medical Image Registration","url":"/task/diffeomorphic-medical-image-registration","datasets_with_task":"/datasets/task/diffeomorphic-medical-image-registration"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["OASIS+ADIBE+ADHD200+MCIC+PPMI+HABS+HarvardGSP","PPMI"],"data_loaders":[],"num_papers_in_archive":87,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/diffeomorphic-medical-image-registration-on","task":"Diffeomorphic Medical Image Registration","dataset_variant":"OASIS+ADIBE+ADHD200+MCIC+PPMI+HABS+HarvardGSP","rows":6,"metrics":["Dice (Average)","CPU (sec)","GPU sec","Neg Jacob Det","Dice (SE)","Dice"],"first_row_in_archive_order":{"model":"NiftyReg (CC)","paper":null,"metrics":{"CPU (sec)":"2347","Dice (Average)":"0.755","Dice (SE)":"0.143","Neg Jacob Det":"33838"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/medical-image-registration-on-oasis-adibe","task":"Medical Image Registration","dataset_variant":"OASIS+ADIBE+ADHD200+MCIC+PPMI+HABS+HarvardGSP","rows":1,"metrics":["Dice Score"],"first_row_in_archive_order":{"model":"VoxelMorph","paper":"/paper/voxelmorph-a-learning-framework-for","metrics":{"Dice Score":"76.3"},"code_links":[{"title":"voxelmorph/voxelmorph","url":"https://github.com/voxelmorph/voxelmorph"},{"title":"winterpan2017/adlreg","url":"https://github.com/winterpan2017/adlreg"},{"title":"CIG-UCL/polaffini","url":"https://github.com/CIG-UCL/polaffini"},{"title":"acasamitjana/3dhirest","url":"https://github.com/acasamitjana/3dhirest"},{"title":"olddriverjinx/reimplemention-of-dual-prnet","url":"https://github.com/olddriverjinx/reimplemention-of-dual-prnet"},{"title":"w19787/Recursive-Cascaded-Networks-TF2.0","url":"https://github.com/w19787/Recursive-Cascaded-Networks-TF2.0"},{"title":"jw4hv/geo-sic","url":"https://github.com/jw4hv/geo-sic"},{"title":"lajipeng/Recursive-Cascaded-Networks-master","url":"https://github.com/lajipeng/Recursive-Cascaded-Networks-master"},{"title":"CIG-UCL/eddeep","url":"https://github.com/CIG-UCL/eddeep"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/reconstruction-on-ppmi","task":"Reconstruction","dataset_variant":"PPMI","rows":1,"metrics":["runtime (s)"],"first_row_in_archive_order":{"model":"NPP (Ours)","paper":"/paper/neural-pre-processing-a-learning-framework","metrics":{"runtime (s)":"2.94"},"code_links":[{"title":"novestars/neural-pre-processing","url":"https://github.com/novestars/neural-pre-processing"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/neural-pre-processing-a-learning-framework","title":"Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing","date":"2023-03-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/unsupervised-learning-of-probabilistic","title":"Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces","date":"2019-03-08","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/voxelmorph-a-learning-framework-for","title":"VoxelMorph: A Learning Framework for Deformable Medical Image Registration","date":"2018-09-14","rows_on_this_dataset":3,"code_links":9,"syntology":null},{"paper":"/paper/symmetric-diffeomorphic-image-registration","title":"Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain","date":"2008-02-01","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"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."}