{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WKELXQ3WW3MWW3QHQ2FZQBRMAS","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":"880d7ff87d33fb1aa784b9e171b4c80ab1deded9bcc3bfc2eb314a91acb3ba08","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-14T10:36:30Z","title_canon_sha256":"c26e6f50bf5b7cc9aae1af5f611d5f5610bf77bd283035cb6481dd7a781981af"},"schema_version":"1.0","source":{"id":"1706.04397","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.04397","created_at":"2026-05-18T00:42:22Z"},{"alias_kind":"arxiv_version","alias_value":"1706.04397v1","created_at":"2026-05-18T00:42:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.04397","created_at":"2026-05-18T00:42:22Z"},{"alias_kind":"pith_short_12","alias_value":"WKELXQ3WW3MW","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WKELXQ3WW3MWW3QH","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WKELXQ3W","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:a8f88a826cc17e237cdcae1260e0db9da8b55b40c321a213f1e0e0d8675b3712","target":"graph","created_at":"2026-05-18T00:42:22Z","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"},"paper":{"abstract_excerpt":"Background: Cardiac MRI derived biventricular mass and function parameters, such as end-systolic volume (ESV), end-diastolic volume (EDV), ejection fraction (EF), stroke volume (SV), and ventricular mass (VM) are clinically well established. Image segmentation can be challenging and time-consuming, due to the complex anatomy of the human heart.\n  Objectives: This study introduces $\\nu$-net (/nju:n$\\varepsilon$t/) -- a deep learning approach allowing for fully-automated high quality segmentation of right (RV) and left ventricular (LV) endocardium and epicardium for extraction of cardiac functio","authors_text":"Bertil Schmidt, Christian Hundt, Christoph Czerner, Frank Wacker, Hinrich B Winther, Jens Vogel-Claussen, Johann Bauersachs","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-14T10:36:30Z","title":"$\\nu$-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.04397","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":"sha256:7e1e7dc778b00574d8a9805d2097c7ca6a2628f2dca950539725ad28715f5d68","target":"record","created_at":"2026-05-18T00:42:22Z","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":"880d7ff87d33fb1aa784b9e171b4c80ab1deded9bcc3bfc2eb314a91acb3ba08","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-14T10:36:30Z","title_canon_sha256":"c26e6f50bf5b7cc9aae1af5f611d5f5610bf77bd283035cb6481dd7a781981af"},"schema_version":"1.0","source":{"id":"1706.04397","kind":"arxiv","version":1}},"canonical_sha256":"b288bbc376b6d96b6e07868b98062c048386998709731ac881dd64a546b35168","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b288bbc376b6d96b6e07868b98062c048386998709731ac881dd64a546b35168","first_computed_at":"2026-05-18T00:42:22.773733Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:22.773733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9pdxLvbei+2aIFrY8GSPDGU0xCsTVU5RUMk2Xsp22kALe6J7d1uITxq5eHyThsKkGUCCLmj+xM6MfSAnL4PYBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:22.774295Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.04397","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e1e7dc778b00574d8a9805d2097c7ca6a2628f2dca950539725ad28715f5d68","sha256:a8f88a826cc17e237cdcae1260e0db9da8b55b40c321a213f1e0e0d8675b3712"],"state_sha256":"7db8560a0cc61cf61ce9a9384285c44a6e04d527b83561a77513f4cfad7a95a2"}