{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:OG3FBHJKC2TKUALNVL2JT2EX5L","short_pith_number":"pith:OG3FBHJK","schema_version":"1.0","canonical_sha256":"71b6509d2a16a6aa016daaf499e897eaec39eef8ced09333f00c785426625dfe","source":{"kind":"arxiv","id":"2307.08535","version":2},"attestation_state":"computed","paper":{"title":"Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Abhirup Banerjee, Julius Ossenberg-Engels, Marcel Beetz, Vicente Grau","submitted_at":"2023-07-17T14:52:52Z","abstract_excerpt":"Cine magnetic resonance imaging (MRI) is the current gold standard for the assessment of cardiac anatomy and function. However, it typically only acquires a set of two-dimensional (2D) slices of the underlying three-dimensional (3D) anatomy of the heart, thus limiting the understanding and analysis of both healthy and pathological cardiac morphology and physiology. In this paper, we propose a novel fully automatic surface reconstruction pipeline capable of reconstructing multi-class 3D cardiac anatomy meshes from raw cine MRI acquisitions. Its key component is a multi-class point cloud complet"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.08535","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-07-17T14:52:52Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"993f9d9b93c7cfa8e05a8a6738f9b289b5f71e27391d988352e21fb41d8822fb","abstract_canon_sha256":"01eb9b9eb4f9e924a94ff3335850cada94eb3956b883963cd57ac8cf9a68ac75"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:12.764013Z","signature_b64":"gGf5KgJH1iZewtHyQynKpUGIprCAn+XWMKuTOi+kMbgCeOaL+ZQ6YjIQM0vE84XPZuYpCZHpavumr6xYa4Z4Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71b6509d2a16a6aa016daaf499e897eaec39eef8ced09333f00c785426625dfe","last_reissued_at":"2026-07-05T06:32:12.763611Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:12.763611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Abhirup Banerjee, Julius Ossenberg-Engels, Marcel Beetz, Vicente Grau","submitted_at":"2023-07-17T14:52:52Z","abstract_excerpt":"Cine magnetic resonance imaging (MRI) is the current gold standard for the assessment of cardiac anatomy and function. However, it typically only acquires a set of two-dimensional (2D) slices of the underlying three-dimensional (3D) anatomy of the heart, thus limiting the understanding and analysis of both healthy and pathological cardiac morphology and physiology. In this paper, we propose a novel fully automatic surface reconstruction pipeline capable of reconstructing multi-class 3D cardiac anatomy meshes from raw cine MRI acquisitions. Its key component is a multi-class point cloud complet"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.08535","kind":"arxiv","version":2},"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/2307.08535/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.08535","created_at":"2026-07-05T06:32:12.763674+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.08535v2","created_at":"2026-07-05T06:32:12.763674+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.08535","created_at":"2026-07-05T06:32:12.763674+00:00"},{"alias_kind":"pith_short_12","alias_value":"OG3FBHJKC2TK","created_at":"2026-07-05T06:32:12.763674+00:00"},{"alias_kind":"pith_short_16","alias_value":"OG3FBHJKC2TKUALN","created_at":"2026-07-05T06:32:12.763674+00:00"},{"alias_kind":"pith_short_8","alias_value":"OG3FBHJK","created_at":"2026-07-05T06:32:12.763674+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L","json":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L.json","graph_json":"https://pith.science/api/pith-number/OG3FBHJKC2TKUALNVL2JT2EX5L/graph.json","events_json":"https://pith.science/api/pith-number/OG3FBHJKC2TKUALNVL2JT2EX5L/events.json","paper":"https://pith.science/paper/OG3FBHJK"},"agent_actions":{"view_html":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L","download_json":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L.json","view_paper":"https://pith.science/paper/OG3FBHJK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.08535&json=true","fetch_graph":"https://pith.science/api/pith-number/OG3FBHJKC2TKUALNVL2JT2EX5L/graph.json","fetch_events":"https://pith.science/api/pith-number/OG3FBHJKC2TKUALNVL2JT2EX5L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L/action/storage_attestation","attest_author":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L/action/author_attestation","sign_citation":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L/action/citation_signature","submit_replication":"https://pith.science/pith/OG3FBHJKC2TKUALNVL2JT2EX5L/action/replication_record"}},"created_at":"2026-07-05T06:32:12.763674+00:00","updated_at":"2026-07-05T06:32:12.763674+00:00"}