{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:65Y3D23EI5OGFNE7PILC5WU24X","short_pith_number":"pith:65Y3D23E","schema_version":"1.0","canonical_sha256":"f771b1eb64475c62b49f7a162eda9ae5e97aac8a5ee4ebd4fee3e6669ded3085","source":{"kind":"arxiv","id":"2207.00474","version":1},"attestation_state":"computed","paper":{"title":"Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Dong Ni, Huanjia Luo, Jiamin Liang, Kai Liu, Xindi Hu, Xinrui Zhou, Xin Yang, Yi Xiong, Yuanji Zhang, Yuhao Huang, Zehui Lin","submitted_at":"2022-07-01T14:53:22Z","abstract_excerpt":"Ultrasound (US) is widely used for its advantages of real-time imaging, radiation-free and portability. In clinical practice, analysis and diagnosis often rely on US sequences rather than a single image to obtain dynamic anatomical information. This is challenging for novices to learn because practicing with adequate videos from patients is clinically unpractical. In this paper, we propose a novel framework to synthesize high-fidelity US videos. Specifically, the synthesis videos are generated by animating source content images based on the motion of given driving videos. Our highlights are th"},"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":"2207.00474","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-07-01T14:53:22Z","cross_cats_sorted":["cs.AI","cs.LG","eess.IV"],"title_canon_sha256":"6f56130b10ffc0a04f558a90f134c53436015ee6ec7eb3fd3baafb3f8db474a6","abstract_canon_sha256":"df33a59e1238027f8f1966d7d819cb23d943d1e9b7a6aea840699045a29891da"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:36:43.389535Z","signature_b64":"ZnaAf+UfqQ81qAqqABsC5M+4we4zYhx0BLxP99B5ERxfX9vnuGkmUzd+q2ZsuWwp1Fp2qoOLIQtxqwun+/OCAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f771b1eb64475c62b49f7a162eda9ae5e97aac8a5ee4ebd4fee3e6669ded3085","last_reissued_at":"2026-07-05T04:36:43.389153Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:36:43.389153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Dong Ni, Huanjia Luo, Jiamin Liang, Kai Liu, Xindi Hu, Xinrui Zhou, Xin Yang, Yi Xiong, Yuanji Zhang, Yuhao Huang, Zehui Lin","submitted_at":"2022-07-01T14:53:22Z","abstract_excerpt":"Ultrasound (US) is widely used for its advantages of real-time imaging, radiation-free and portability. In clinical practice, analysis and diagnosis often rely on US sequences rather than a single image to obtain dynamic anatomical information. This is challenging for novices to learn because practicing with adequate videos from patients is clinically unpractical. In this paper, we propose a novel framework to synthesize high-fidelity US videos. Specifically, the synthesis videos are generated by animating source content images based on the motion of given driving videos. Our highlights are th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.00474","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2207.00474/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":"2207.00474","created_at":"2026-07-05T04:36:43.389208+00:00"},{"alias_kind":"arxiv_version","alias_value":"2207.00474v1","created_at":"2026-07-05T04:36:43.389208+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.00474","created_at":"2026-07-05T04:36:43.389208+00:00"},{"alias_kind":"pith_short_12","alias_value":"65Y3D23EI5OG","created_at":"2026-07-05T04:36:43.389208+00:00"},{"alias_kind":"pith_short_16","alias_value":"65Y3D23EI5OGFNE7","created_at":"2026-07-05T04:36:43.389208+00:00"},{"alias_kind":"pith_short_8","alias_value":"65Y3D23E","created_at":"2026-07-05T04:36:43.389208+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/65Y3D23EI5OGFNE7PILC5WU24X","json":"https://pith.science/pith/65Y3D23EI5OGFNE7PILC5WU24X.json","graph_json":"https://pith.science/api/pith-number/65Y3D23EI5OGFNE7PILC5WU24X/graph.json","events_json":"https://pith.science/api/pith-number/65Y3D23EI5OGFNE7PILC5WU24X/events.json","paper":"https://pith.science/paper/65Y3D23E"},"agent_actions":{"view_html":"https://pith.science/pith/65Y3D23EI5OGFNE7PILC5WU24X","download_json":"https://pith.science/pith/65Y3D23EI5OGFNE7PILC5WU24X.json","view_paper":"https://pith.science/paper/65Y3D23E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2207.00474&json=true","fetch_graph":"https://pith.science/api/pith-number/65Y3D23EI5OGFNE7PILC5WU24X/graph.json","fetch_events":"https://pith.science/api/pith-number/65Y3D23EI5OGFNE7PILC5WU24X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/65Y3D23EI5OGFNE7PILC5WU24X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/65Y3D23EI5OGFNE7PILC5WU24X/action/storage_attestation","attest_author":"https://pith.science/pith/65Y3D23EI5OGFNE7PILC5WU24X/action/author_attestation","sign_citation":"https://pith.science/pith/65Y3D23EI5OGFNE7PILC5WU24X/action/citation_signature","submit_replication":"https://pith.science/pith/65Y3D23EI5OGFNE7PILC5WU24X/action/replication_record"}},"created_at":"2026-07-05T04:36:43.389208+00:00","updated_at":"2026-07-05T04:36:43.389208+00:00"}