{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:FFRDW52FSJLEPKFFHAPDU5YWPV","short_pith_number":"pith:FFRDW52F","schema_version":"1.0","canonical_sha256":"29623b7745925647a8a5381e3a77167d7d4e76d775715b972363bf3dae108ebf","source":{"kind":"arxiv","id":"2311.14086","version":1},"attestation_state":"computed","paper":{"title":"Brain MRI Screening Tool with Federated Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","cs.LG","q-bio.NC"],"primary_cat":"eess.IV","authors_text":"Efstathios Efstathopoulos, Efstratios Karavasilis, Ioannis Stathopoulos, Luigi Serio, Marek Dost\\'al, Michal Kozubek, Milo\\v{s} Ke\\v{r}kovsk\\'y, Roman Stoklasa","submitted_at":"2023-11-23T16:24:26Z","abstract_excerpt":"In clinical practice, we often see significant delays between MRI scans and the diagnosis made by radiologists, even for severe cases. In some cases, this may be caused by the lack of additional information and clues, so even the severe cases need to wait in the queue for diagnosis. This can be avoided if there is an automatic software tool, which would supplement additional information, alerting radiologists that the particular patient may be a severe case.\n  We are presenting an automatic brain MRI Screening Tool and we are demonstrating its capabilities for detecting tumor-like pathologies."},"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":"2311.14086","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2023-11-23T16:24:26Z","cross_cats_sorted":["cs.CV","cs.LG","q-bio.NC"],"title_canon_sha256":"d2745a632347a49217f264dcb135470d83b4bb5508d9599f558b43e24a82bc41","abstract_canon_sha256":"7c35a07644d31fec2f62f8616b5939a656de2763886c23767c83d0cd0cc34153"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:16:13.052528Z","signature_b64":"Tvo9CgPHFjCeFF6O7UkYPePoDIE+Wu7ZYFGWVQE41ei9o9aC0eusYP3h91+NsWrvF7BrBjfEwqJOFmBsVBnQDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29623b7745925647a8a5381e3a77167d7d4e76d775715b972363bf3dae108ebf","last_reissued_at":"2026-07-05T07:16:13.052130Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:16:13.052130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Brain MRI Screening Tool with Federated Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","cs.LG","q-bio.NC"],"primary_cat":"eess.IV","authors_text":"Efstathios Efstathopoulos, Efstratios Karavasilis, Ioannis Stathopoulos, Luigi Serio, Marek Dost\\'al, Michal Kozubek, Milo\\v{s} Ke\\v{r}kovsk\\'y, Roman Stoklasa","submitted_at":"2023-11-23T16:24:26Z","abstract_excerpt":"In clinical practice, we often see significant delays between MRI scans and the diagnosis made by radiologists, even for severe cases. In some cases, this may be caused by the lack of additional information and clues, so even the severe cases need to wait in the queue for diagnosis. This can be avoided if there is an automatic software tool, which would supplement additional information, alerting radiologists that the particular patient may be a severe case.\n  We are presenting an automatic brain MRI Screening Tool and we are demonstrating its capabilities for detecting tumor-like pathologies."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.14086","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/2311.14086/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":"2311.14086","created_at":"2026-07-05T07:16:13.052188+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.14086v1","created_at":"2026-07-05T07:16:13.052188+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.14086","created_at":"2026-07-05T07:16:13.052188+00:00"},{"alias_kind":"pith_short_12","alias_value":"FFRDW52FSJLE","created_at":"2026-07-05T07:16:13.052188+00:00"},{"alias_kind":"pith_short_16","alias_value":"FFRDW52FSJLEPKFF","created_at":"2026-07-05T07:16:13.052188+00:00"},{"alias_kind":"pith_short_8","alias_value":"FFRDW52F","created_at":"2026-07-05T07:16:13.052188+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/FFRDW52FSJLEPKFFHAPDU5YWPV","json":"https://pith.science/pith/FFRDW52FSJLEPKFFHAPDU5YWPV.json","graph_json":"https://pith.science/api/pith-number/FFRDW52FSJLEPKFFHAPDU5YWPV/graph.json","events_json":"https://pith.science/api/pith-number/FFRDW52FSJLEPKFFHAPDU5YWPV/events.json","paper":"https://pith.science/paper/FFRDW52F"},"agent_actions":{"view_html":"https://pith.science/pith/FFRDW52FSJLEPKFFHAPDU5YWPV","download_json":"https://pith.science/pith/FFRDW52FSJLEPKFFHAPDU5YWPV.json","view_paper":"https://pith.science/paper/FFRDW52F","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.14086&json=true","fetch_graph":"https://pith.science/api/pith-number/FFRDW52FSJLEPKFFHAPDU5YWPV/graph.json","fetch_events":"https://pith.science/api/pith-number/FFRDW52FSJLEPKFFHAPDU5YWPV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FFRDW52FSJLEPKFFHAPDU5YWPV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FFRDW52FSJLEPKFFHAPDU5YWPV/action/storage_attestation","attest_author":"https://pith.science/pith/FFRDW52FSJLEPKFFHAPDU5YWPV/action/author_attestation","sign_citation":"https://pith.science/pith/FFRDW52FSJLEPKFFHAPDU5YWPV/action/citation_signature","submit_replication":"https://pith.science/pith/FFRDW52FSJLEPKFFHAPDU5YWPV/action/replication_record"}},"created_at":"2026-07-05T07:16:13.052188+00:00","updated_at":"2026-07-05T07:16:13.052188+00:00"}