{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:SFZ2AY7FE26BLGOJKV2AN46WKI","short_pith_number":"pith:SFZ2AY7F","schema_version":"1.0","canonical_sha256":"9173a063e526bc1599c9557406f3d652235915db964de9c8a9e738843773c602","source":{"kind":"arxiv","id":"2506.01025","version":1},"attestation_state":"computed","paper":{"title":"Modality Translation and Registration of MR and Ultrasound Images Using Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alin Achim, Nantheera Anantrasirichai, Stefanos Bolomytis, Xudong Ma","submitted_at":"2025-06-01T14:10:06Z","abstract_excerpt":"Multimodal MR-US registration is critical for prostate cancer diagnosis. However, this task remains challenging due to significant modality discrepancies. Existing methods often fail to align critical boundaries while being overly sensitive to irrelevant details. To address this, we propose an anatomically coherent modality translation (ACMT) network based on a hierarchical feature disentanglement design. We leverage shallow-layer features for texture consistency and deep-layer features for boundary preservation. Unlike conventional modality translation methods that convert one modality into a"},"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":"2506.01025","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-01T14:10:06Z","cross_cats_sorted":[],"title_canon_sha256":"71c8c7c25989c9af53aa8184c5a70f844b9b8aa94afb356eaefc1867a4a9cf64","abstract_canon_sha256":"60c33010d641a57b8c76b955fc51e4c40d3556376e43368daba198bce998e380"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:44.696466Z","signature_b64":"VxLnqIffLggiwcbcJv8J7O4OvrJsj1Dzl3kNzF6+L2cHY5M4EZxQekUTJPL328CINYrG9nQaMXJqnMUhXnBhCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9173a063e526bc1599c9557406f3d652235915db964de9c8a9e738843773c602","last_reissued_at":"2026-07-05T11:13:44.695982Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:44.695982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modality Translation and Registration of MR and Ultrasound Images Using Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alin Achim, Nantheera Anantrasirichai, Stefanos Bolomytis, Xudong Ma","submitted_at":"2025-06-01T14:10:06Z","abstract_excerpt":"Multimodal MR-US registration is critical for prostate cancer diagnosis. However, this task remains challenging due to significant modality discrepancies. Existing methods often fail to align critical boundaries while being overly sensitive to irrelevant details. To address this, we propose an anatomically coherent modality translation (ACMT) network based on a hierarchical feature disentanglement design. We leverage shallow-layer features for texture consistency and deep-layer features for boundary preservation. Unlike conventional modality translation methods that convert one modality into a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01025","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/2506.01025/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":"2506.01025","created_at":"2026-07-05T11:13:44.696044+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.01025v1","created_at":"2026-07-05T11:13:44.696044+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01025","created_at":"2026-07-05T11:13:44.696044+00:00"},{"alias_kind":"pith_short_12","alias_value":"SFZ2AY7FE26B","created_at":"2026-07-05T11:13:44.696044+00:00"},{"alias_kind":"pith_short_16","alias_value":"SFZ2AY7FE26BLGOJ","created_at":"2026-07-05T11:13:44.696044+00:00"},{"alias_kind":"pith_short_8","alias_value":"SFZ2AY7F","created_at":"2026-07-05T11:13:44.696044+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/SFZ2AY7FE26BLGOJKV2AN46WKI","json":"https://pith.science/pith/SFZ2AY7FE26BLGOJKV2AN46WKI.json","graph_json":"https://pith.science/api/pith-number/SFZ2AY7FE26BLGOJKV2AN46WKI/graph.json","events_json":"https://pith.science/api/pith-number/SFZ2AY7FE26BLGOJKV2AN46WKI/events.json","paper":"https://pith.science/paper/SFZ2AY7F"},"agent_actions":{"view_html":"https://pith.science/pith/SFZ2AY7FE26BLGOJKV2AN46WKI","download_json":"https://pith.science/pith/SFZ2AY7FE26BLGOJKV2AN46WKI.json","view_paper":"https://pith.science/paper/SFZ2AY7F","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.01025&json=true","fetch_graph":"https://pith.science/api/pith-number/SFZ2AY7FE26BLGOJKV2AN46WKI/graph.json","fetch_events":"https://pith.science/api/pith-number/SFZ2AY7FE26BLGOJKV2AN46WKI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SFZ2AY7FE26BLGOJKV2AN46WKI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SFZ2AY7FE26BLGOJKV2AN46WKI/action/storage_attestation","attest_author":"https://pith.science/pith/SFZ2AY7FE26BLGOJKV2AN46WKI/action/author_attestation","sign_citation":"https://pith.science/pith/SFZ2AY7FE26BLGOJKV2AN46WKI/action/citation_signature","submit_replication":"https://pith.science/pith/SFZ2AY7FE26BLGOJKV2AN46WKI/action/replication_record"}},"created_at":"2026-07-05T11:13:44.696044+00:00","updated_at":"2026-07-05T11:13:44.696044+00:00"}