{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GUI472TJJ3U5NLFQ6RXBPXSC56","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"cc5771e0dde1408a8045fe4cb8ece630d484617afa64f43e5e36abea747d904b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-19T08:39:23Z","title_canon_sha256":"97217b8bbd4f833b108c90a95298e70f10129fc81fdd0b5295c265c3dff0ae5e"},"schema_version":"1.0","source":{"id":"2208.09216","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.09216","created_at":"2026-07-05T04:49:57Z"},{"alias_kind":"arxiv_version","alias_value":"2208.09216v1","created_at":"2026-07-05T04:49:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.09216","created_at":"2026-07-05T04:49:57Z"},{"alias_kind":"pith_short_12","alias_value":"GUI472TJJ3U5","created_at":"2026-07-05T04:49:57Z"},{"alias_kind":"pith_short_16","alias_value":"GUI472TJJ3U5NLFQ","created_at":"2026-07-05T04:49:57Z"},{"alias_kind":"pith_short_8","alias_value":"GUI472TJ","created_at":"2026-07-05T04:49:57Z"}],"graph_snapshots":[{"event_id":"sha256:418f3f203578694999023c5e31c2f776729960b883b7681b5014241db3bb536d","target":"graph","created_at":"2026-07-05T04:49:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2208.09216/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Purpose: The localisation and segmentation of individual bones is an important preprocessing step in many planning and navigation applications. It is, however, a time-consuming and repetitive task if done manually. This is true not only for clinical practice but also for the acquisition of training data. We therefore not only present an end-to-end learnt algorithm that is capable of segmenting 125 distinct bones in an upper-body CT, but also provide an ensemble-based uncertainty measure that helps to single out scans to enlarge the training dataset with. Methods We create fully automated end-t","authors_text":"Antal Huck, Azhar Zam, Eva Schnider, Georg Rauter, Magdalena M\\\"uller-Gerbl, Mireille Toranelli, Philippe Cattin","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-19T08:39:23Z","title":"Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.09216","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:11b3c271fd70983d4c2d4e91267ab611867632e18f374512c9cb3cd69ecb50b7","target":"record","created_at":"2026-07-05T04:49:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"cc5771e0dde1408a8045fe4cb8ece630d484617afa64f43e5e36abea747d904b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-19T08:39:23Z","title_canon_sha256":"97217b8bbd4f833b108c90a95298e70f10129fc81fdd0b5295c265c3dff0ae5e"},"schema_version":"1.0","source":{"id":"2208.09216","kind":"arxiv","version":1}},"canonical_sha256":"3511cfea694ee9d6acb0f46e17de42ef956222739a8da6d0a75df3435cc7996a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3511cfea694ee9d6acb0f46e17de42ef956222739a8da6d0a75df3435cc7996a","first_computed_at":"2026-07-05T04:49:57.375543Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:49:57.375543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LRSADxB25Bq8ncSXjtiz3DLxNCV00k/MYWPI1tJbQxk6AGmwa3cvxVGWW730fUBhMam1Zn8HDQDuqsgon/AcCw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:49:57.376050Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.09216","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11b3c271fd70983d4c2d4e91267ab611867632e18f374512c9cb3cd69ecb50b7","sha256:418f3f203578694999023c5e31c2f776729960b883b7681b5014241db3bb536d"],"state_sha256":"ef035bbba6a88fd44e4fc4c34c595c1235705f3dc78b8e747291498e67168a10"}