{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JFWMNXO7PSCHYMUMFFEP6BRSZZ","short_pith_number":"pith:JFWMNXO7","canonical_record":{"source":{"id":"1806.07497","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-19T23:18:07Z","cross_cats_sorted":[],"title_canon_sha256":"726c11260852edd7d94fda7509b2591b5972b93368e48ea63a326624520a1358","abstract_canon_sha256":"c5fbcef3bc5c9202f73849ffe854cc56e311ef18c9735430b229fbe4f1fa82f5"},"schema_version":"1.0"},"canonical_sha256":"496cc6dddf7c847c328c2948ff0632ce6211a846177bc2cb4fc35b1d5ff5f36d","source":{"kind":"arxiv","id":"1806.07497","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.07497","created_at":"2026-05-18T00:12:47Z"},{"alias_kind":"arxiv_version","alias_value":"1806.07497v1","created_at":"2026-05-18T00:12:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.07497","created_at":"2026-05-18T00:12:47Z"},{"alias_kind":"pith_short_12","alias_value":"JFWMNXO7PSCH","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JFWMNXO7PSCHYMUM","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JFWMNXO7","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JFWMNXO7PSCHYMUMFFEP6BRSZZ","target":"record","payload":{"canonical_record":{"source":{"id":"1806.07497","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-19T23:18:07Z","cross_cats_sorted":[],"title_canon_sha256":"726c11260852edd7d94fda7509b2591b5972b93368e48ea63a326624520a1358","abstract_canon_sha256":"c5fbcef3bc5c9202f73849ffe854cc56e311ef18c9735430b229fbe4f1fa82f5"},"schema_version":"1.0"},"canonical_sha256":"496cc6dddf7c847c328c2948ff0632ce6211a846177bc2cb4fc35b1d5ff5f36d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:12:47.590201Z","signature_b64":"vhC+d5DMfJuD1Yi4JKUCojGgN65e0JsINu/FgZF7e8FEdrdywcVxfMpVjwlljnYxsl/7KEpJRTYQTbm6UwSbCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"496cc6dddf7c847c328c2948ff0632ce6211a846177bc2cb4fc35b1d5ff5f36d","last_reissued_at":"2026-05-18T00:12:47.589552Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:12:47.589552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.07497","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:12:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L7BzYSofsGlpXkVrOPyfYkOJIfDL2rbWXnzyCBx/w8jLNTMMqHKMmhVa1VeP9sR1DD0A0oTRlNEhIK4sVm2fBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T21:07:49.226889Z"},"content_sha256":"0f2982feddf4165b9606424e84a5ed4e15676b9581cbf425ffd9bb4268f9ee57","schema_version":"1.0","event_id":"sha256:0f2982feddf4165b9606424e84a5ed4e15676b9581cbf425ffd9bb4268f9ee57"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JFWMNXO7PSCHYMUMFFEP6BRSZZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chin Pang Ho, Matthieu Toulemonde, Meng-Xing Tang, Navtej Chahal, Roxy Senior, Yuanwei Li","submitted_at":"2018-06-19T23:18:07Z","abstract_excerpt":"Myocardial contrast echocardiography (MCE) is an imaging technique that assesses left ventricle function and myocardial perfusion for the detection of coronary artery diseases. Automatic MCE perfusion quantification is challenging and requires accurate segmentation of the myocardium from noisy and time-varying images. Random forests (RF) have been successfully applied to many medical image segmentation tasks. However, the pixel-wise RF classifier ignores contextual relationships between label outputs of individual pixels. RF which only utilizes local appearance features is also susceptible to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.07497","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:12:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ygY1ImdxQkCjOygf+BmS296s9kpLWjkNcLEW4cCL88Z4ysAV5Y7mPyYPhFuZULP2DVoWkWxB11ZFq9d/g97HAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T21:07:49.227221Z"},"content_sha256":"445a12700f70a4aeaff5c0315627c87ad79822cdb34f201c1ce6f04fd783c66a","schema_version":"1.0","event_id":"sha256:445a12700f70a4aeaff5c0315627c87ad79822cdb34f201c1ce6f04fd783c66a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JFWMNXO7PSCHYMUMFFEP6BRSZZ/bundle.json","state_url":"https://pith.science/pith/JFWMNXO7PSCHYMUMFFEP6BRSZZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JFWMNXO7PSCHYMUMFFEP6BRSZZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-26T21:07:49Z","links":{"resolver":"https://pith.science/pith/JFWMNXO7PSCHYMUMFFEP6BRSZZ","bundle":"https://pith.science/pith/JFWMNXO7PSCHYMUMFFEP6BRSZZ/bundle.json","state":"https://pith.science/pith/JFWMNXO7PSCHYMUMFFEP6BRSZZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JFWMNXO7PSCHYMUMFFEP6BRSZZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JFWMNXO7PSCHYMUMFFEP6BRSZZ","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":"c5fbcef3bc5c9202f73849ffe854cc56e311ef18c9735430b229fbe4f1fa82f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-19T23:18:07Z","title_canon_sha256":"726c11260852edd7d94fda7509b2591b5972b93368e48ea63a326624520a1358"},"schema_version":"1.0","source":{"id":"1806.07497","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.07497","created_at":"2026-05-18T00:12:47Z"},{"alias_kind":"arxiv_version","alias_value":"1806.07497v1","created_at":"2026-05-18T00:12:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.07497","created_at":"2026-05-18T00:12:47Z"},{"alias_kind":"pith_short_12","alias_value":"JFWMNXO7PSCH","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JFWMNXO7PSCHYMUM","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JFWMNXO7","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:445a12700f70a4aeaff5c0315627c87ad79822cdb34f201c1ce6f04fd783c66a","target":"graph","created_at":"2026-05-18T00:12:47Z","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":"Myocardial contrast echocardiography (MCE) is an imaging technique that assesses left ventricle function and myocardial perfusion for the detection of coronary artery diseases. Automatic MCE perfusion quantification is challenging and requires accurate segmentation of the myocardium from noisy and time-varying images. Random forests (RF) have been successfully applied to many medical image segmentation tasks. However, the pixel-wise RF classifier ignores contextual relationships between label outputs of individual pixels. RF which only utilizes local appearance features is also susceptible to ","authors_text":"Chin Pang Ho, Matthieu Toulemonde, Meng-Xing Tang, Navtej Chahal, Roxy Senior, Yuanwei Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-19T23:18:07Z","title":"Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.07497","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":"sha256:0f2982feddf4165b9606424e84a5ed4e15676b9581cbf425ffd9bb4268f9ee57","target":"record","created_at":"2026-05-18T00:12:47Z","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":"c5fbcef3bc5c9202f73849ffe854cc56e311ef18c9735430b229fbe4f1fa82f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-19T23:18:07Z","title_canon_sha256":"726c11260852edd7d94fda7509b2591b5972b93368e48ea63a326624520a1358"},"schema_version":"1.0","source":{"id":"1806.07497","kind":"arxiv","version":1}},"canonical_sha256":"496cc6dddf7c847c328c2948ff0632ce6211a846177bc2cb4fc35b1d5ff5f36d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"496cc6dddf7c847c328c2948ff0632ce6211a846177bc2cb4fc35b1d5ff5f36d","first_computed_at":"2026-05-18T00:12:47.589552Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:12:47.589552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vhC+d5DMfJuD1Yi4JKUCojGgN65e0JsINu/FgZF7e8FEdrdywcVxfMpVjwlljnYxsl/7KEpJRTYQTbm6UwSbCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:12:47.590201Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.07497","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f2982feddf4165b9606424e84a5ed4e15676b9581cbf425ffd9bb4268f9ee57","sha256:445a12700f70a4aeaff5c0315627c87ad79822cdb34f201c1ce6f04fd783c66a"],"state_sha256":"d06f78a683aa48902d2e1a4b60498b7aeb284ce4b0dba2fa44fb75c72e3a55ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3W5xVrAIkQnCXqn5bS6h9sZEt9xkqxmsiaWwTRXdwU6EbNgVcVQdm3oxbrDTJWh/M1tnHdLw75lyRklFHfmFBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T21:07:49.229132Z","bundle_sha256":"d5dd2da4417606de299a4b5212c3d0dbae3e7718614335ec4abcbeb091c686ba"}}