{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:WOZTDYYZV7A3OGWXUB35R6GPHO","short_pith_number":"pith:WOZTDYYZ","schema_version":"1.0","canonical_sha256":"b3b331e319afc1b71ad7a077d8f8cf3b94bbe46d1e27af739c52cdcd7251eb96","source":{"kind":"arxiv","id":"2307.03421","version":1},"attestation_state":"computed","paper":{"title":"Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","eess.IV"],"primary_cat":"cs.CV","authors_text":"Dagan Feng, Jinman Kim, Lei Bi, Michael Fulham, Mingyuan Meng","submitted_at":"2023-07-07T07:07:42Z","abstract_excerpt":"Image registration is a fundamental requirement for medical image analysis. Deep registration methods based on deep learning have been widely recognized for their capabilities to perform fast end-to-end registration. Many deep registration methods achieved state-of-the-art performance by performing coarse-to-fine registration, where multiple registration steps were iterated with cascaded networks. Recently, Non-Iterative Coarse-to-finE (NICE) registration methods have been proposed to perform coarse-to-fine registration in a single network and showed advantages in both registration accuracy an"},"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":"2307.03421","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-07T07:07:42Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"28a01610479c84504ddb2fb0cf7ff5ab4f1e688de31d59fce5c7f32127f0339e","abstract_canon_sha256":"f03349a80ab4bef2ac1ca2c6fccd8d2a5c4d889bd26e245c2ea5e0e995038c00"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:55:56.775022Z","signature_b64":"XXNB6amP2sZC422xLFWJY50vXDClCnCeLws/p3VtewkpRwqhV+WfuW69o7k21JfjBrT8VMnCrFHkRrTXDHrwDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3b331e319afc1b71ad7a077d8f8cf3b94bbe46d1e27af739c52cdcd7251eb96","last_reissued_at":"2026-07-05T06:55:56.774622Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:55:56.774622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","eess.IV"],"primary_cat":"cs.CV","authors_text":"Dagan Feng, Jinman Kim, Lei Bi, Michael Fulham, Mingyuan Meng","submitted_at":"2023-07-07T07:07:42Z","abstract_excerpt":"Image registration is a fundamental requirement for medical image analysis. Deep registration methods based on deep learning have been widely recognized for their capabilities to perform fast end-to-end registration. Many deep registration methods achieved state-of-the-art performance by performing coarse-to-fine registration, where multiple registration steps were iterated with cascaded networks. Recently, Non-Iterative Coarse-to-finE (NICE) registration methods have been proposed to perform coarse-to-fine registration in a single network and showed advantages in both registration accuracy an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.03421","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/2307.03421/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":"2307.03421","created_at":"2026-07-05T06:55:56.774680+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.03421v1","created_at":"2026-07-05T06:55:56.774680+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.03421","created_at":"2026-07-05T06:55:56.774680+00:00"},{"alias_kind":"pith_short_12","alias_value":"WOZTDYYZV7A3","created_at":"2026-07-05T06:55:56.774680+00:00"},{"alias_kind":"pith_short_16","alias_value":"WOZTDYYZV7A3OGWX","created_at":"2026-07-05T06:55:56.774680+00:00"},{"alias_kind":"pith_short_8","alias_value":"WOZTDYYZ","created_at":"2026-07-05T06:55:56.774680+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/WOZTDYYZV7A3OGWXUB35R6GPHO","json":"https://pith.science/pith/WOZTDYYZV7A3OGWXUB35R6GPHO.json","graph_json":"https://pith.science/api/pith-number/WOZTDYYZV7A3OGWXUB35R6GPHO/graph.json","events_json":"https://pith.science/api/pith-number/WOZTDYYZV7A3OGWXUB35R6GPHO/events.json","paper":"https://pith.science/paper/WOZTDYYZ"},"agent_actions":{"view_html":"https://pith.science/pith/WOZTDYYZV7A3OGWXUB35R6GPHO","download_json":"https://pith.science/pith/WOZTDYYZV7A3OGWXUB35R6GPHO.json","view_paper":"https://pith.science/paper/WOZTDYYZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.03421&json=true","fetch_graph":"https://pith.science/api/pith-number/WOZTDYYZV7A3OGWXUB35R6GPHO/graph.json","fetch_events":"https://pith.science/api/pith-number/WOZTDYYZV7A3OGWXUB35R6GPHO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WOZTDYYZV7A3OGWXUB35R6GPHO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WOZTDYYZV7A3OGWXUB35R6GPHO/action/storage_attestation","attest_author":"https://pith.science/pith/WOZTDYYZV7A3OGWXUB35R6GPHO/action/author_attestation","sign_citation":"https://pith.science/pith/WOZTDYYZV7A3OGWXUB35R6GPHO/action/citation_signature","submit_replication":"https://pith.science/pith/WOZTDYYZV7A3OGWXUB35R6GPHO/action/replication_record"}},"created_at":"2026-07-05T06:55:56.774680+00:00","updated_at":"2026-07-05T06:55:56.774680+00:00"}