{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DM633SXK5WWISVQZUVOW24GH2A","short_pith_number":"pith:DM633SXK","canonical_record":{"source":{"id":"1807.04807","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-12T20:19:48Z","cross_cats_sorted":[],"title_canon_sha256":"d9255eb80b7557cad87914a5d498877459a2295c962f1e6a35929ab798cfba9c","abstract_canon_sha256":"489bc6da046f91567652df5204ea4366069d23e3b5b3b4d0cfa8e758114d7abe"},"schema_version":"1.0"},"canonical_sha256":"1b3dbdcaeaedac895619a55d6d70c7d039982061f9b38fb9178a7e3e0380db66","source":{"kind":"arxiv","id":"1807.04807","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.04807","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"arxiv_version","alias_value":"1807.04807v1","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.04807","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"pith_short_12","alias_value":"DM633SXK5WWI","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DM633SXK5WWISVQZ","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DM633SXK","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DM633SXK5WWISVQZUVOW24GH2A","target":"record","payload":{"canonical_record":{"source":{"id":"1807.04807","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-12T20:19:48Z","cross_cats_sorted":[],"title_canon_sha256":"d9255eb80b7557cad87914a5d498877459a2295c962f1e6a35929ab798cfba9c","abstract_canon_sha256":"489bc6da046f91567652df5204ea4366069d23e3b5b3b4d0cfa8e758114d7abe"},"schema_version":"1.0"},"canonical_sha256":"1b3dbdcaeaedac895619a55d6d70c7d039982061f9b38fb9178a7e3e0380db66","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:51.370485Z","signature_b64":"9JXV+afIYuZ/qSMRnDWEinidKxiQ5MdKkZ9HzyE0mzV8UYDON2AFtp2N28jnPn1e3dra0tirRYYbYWh4zCtyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b3dbdcaeaedac895619a55d6d70c7d039982061f9b38fb9178a7e3e0380db66","last_reissued_at":"2026-05-18T00:10:51.369881Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:51.369881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.04807","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":"2026-05-18T00:10:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3qis7qngOv4gxmfhFHsX1xn98HMRHj4CQnQ0OWVVs9gJEddk39AX6R8O982Mik7WIsNwVeJDRm1hYjxpRXasDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T12:56:11.081078Z"},"content_sha256":"0e8f9b307dc8a4e793fe02c963af0a56503ab1fce14b2e9041e8225b66924546","schema_version":"1.0","event_id":"sha256:0e8f9b307dc8a4e793fe02c963af0a56503ab1fce14b2e9041e8225b66924546"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DM633SXK5WWISVQZUVOW24GH2A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Albert J. Sinusas, Allen Lu, Geng-Shi Jeng, Imran Alkhalil, James S. Duncan, John Stendahl, Kevinminh Ta, Lawrence H. Staib, Maria Zontak, Matthew O'Donnell, Nabil Boutagy, Nripesh Parajuli, Zhao Liu","submitted_at":"2018-07-12T20:19:48Z","abstract_excerpt":"Reliable motion estimation and strain analysis using 3D+time echocardiography (4DE) for localization and characterization of myocardial injury is valuable for early detection and targeted interventions. However, motion estimation is difficult due to the low-SNR that stems from the inherent image properties of 4DE, and intelligent regularization is critical for producing reliable motion estimates. In this work, we incorporated the notion of domain adaptation into a supervised neural network regularization framework. We first propose an unsupervised autoencoder network with biomechanical constra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.04807","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":"2026-05-18T00:10:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ygpo0PYjuqvQ5SmtOBcF3rmkvOT1ziWobG34ZDISZJqq8cm/WbEy6PRl32GzQQYwFm9oHgiEtshBCoZGb3VCCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T12:56:11.081448Z"},"content_sha256":"d86edf93b64031e4915542e13f4d5d7b5392b59af5609c921f7fd7792db3cf3a","schema_version":"1.0","event_id":"sha256:d86edf93b64031e4915542e13f4d5d7b5392b59af5609c921f7fd7792db3cf3a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DM633SXK5WWISVQZUVOW24GH2A/bundle.json","state_url":"https://pith.science/pith/DM633SXK5WWISVQZUVOW24GH2A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DM633SXK5WWISVQZUVOW24GH2A/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":"2026-05-31T12:56:11Z","links":{"resolver":"https://pith.science/pith/DM633SXK5WWISVQZUVOW24GH2A","bundle":"https://pith.science/pith/DM633SXK5WWISVQZUVOW24GH2A/bundle.json","state":"https://pith.science/pith/DM633SXK5WWISVQZUVOW24GH2A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DM633SXK5WWISVQZUVOW24GH2A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DM633SXK5WWISVQZUVOW24GH2A","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":"489bc6da046f91567652df5204ea4366069d23e3b5b3b4d0cfa8e758114d7abe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-12T20:19:48Z","title_canon_sha256":"d9255eb80b7557cad87914a5d498877459a2295c962f1e6a35929ab798cfba9c"},"schema_version":"1.0","source":{"id":"1807.04807","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.04807","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"arxiv_version","alias_value":"1807.04807v1","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.04807","created_at":"2026-05-18T00:10:51Z"},{"alias_kind":"pith_short_12","alias_value":"DM633SXK5WWI","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DM633SXK5WWISVQZ","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DM633SXK","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:d86edf93b64031e4915542e13f4d5d7b5392b59af5609c921f7fd7792db3cf3a","target":"graph","created_at":"2026-05-18T00:10:51Z","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":"Reliable motion estimation and strain analysis using 3D+time echocardiography (4DE) for localization and characterization of myocardial injury is valuable for early detection and targeted interventions. However, motion estimation is difficult due to the low-SNR that stems from the inherent image properties of 4DE, and intelligent regularization is critical for producing reliable motion estimates. In this work, we incorporated the notion of domain adaptation into a supervised neural network regularization framework. We first propose an unsupervised autoencoder network with biomechanical constra","authors_text":"Albert J. Sinusas, Allen Lu, Geng-Shi Jeng, Imran Alkhalil, James S. Duncan, John Stendahl, Kevinminh Ta, Lawrence H. Staib, Maria Zontak, Matthew O'Donnell, Nabil Boutagy, Nripesh Parajuli, Zhao Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-12T20:19:48Z","title":"Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.04807","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":"sha256:0e8f9b307dc8a4e793fe02c963af0a56503ab1fce14b2e9041e8225b66924546","target":"record","created_at":"2026-05-18T00:10:51Z","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":"489bc6da046f91567652df5204ea4366069d23e3b5b3b4d0cfa8e758114d7abe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-12T20:19:48Z","title_canon_sha256":"d9255eb80b7557cad87914a5d498877459a2295c962f1e6a35929ab798cfba9c"},"schema_version":"1.0","source":{"id":"1807.04807","kind":"arxiv","version":1}},"canonical_sha256":"1b3dbdcaeaedac895619a55d6d70c7d039982061f9b38fb9178a7e3e0380db66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b3dbdcaeaedac895619a55d6d70c7d039982061f9b38fb9178a7e3e0380db66","first_computed_at":"2026-05-18T00:10:51.369881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:51.369881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9JXV+afIYuZ/qSMRnDWEinidKxiQ5MdKkZ9HzyE0mzV8UYDON2AFtp2N28jnPn1e3dra0tirRYYbYWh4zCtyBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:51.370485Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.04807","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e8f9b307dc8a4e793fe02c963af0a56503ab1fce14b2e9041e8225b66924546","sha256:d86edf93b64031e4915542e13f4d5d7b5392b59af5609c921f7fd7792db3cf3a"],"state_sha256":"8bafacec53e23d033426bd8a8834ae6809a29fcde344aafb67d3deec38908549"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1RTm9XYMp3E38NdNkkbZTRjP2JpraUgWqmp9yuaYhSxjhnJggImK5VeH5GclP/gOV2r5Ae5XzF2+LX8wcfJ6BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T12:56:11.084128Z","bundle_sha256":"c6619b0fd9cdcd1a39c01756e701ce8a7c4a407fc51d162879a8a00ad88a440f"}}