{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:NBD6DVEN33FEQWM2LLK4GS3MPU","short_pith_number":"pith:NBD6DVEN","schema_version":"1.0","canonical_sha256":"6847e1d48ddeca48599a5ad5c34b6c7d09214becd8f6fcf7ccb0bdec04e82511","source":{"kind":"arxiv","id":"2306.01375","version":2},"attestation_state":"computed","paper":{"title":"Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Abdulah Fawaz, Emma Robinson, Hannah Spitzer, Juan Eugenio Iglesias, Konrad Wagstyl, Logan Z. J. Williams, Mathilde Ripart, MELD project, Sophie Adler","submitted_at":"2023-06-02T08:56:56Z","abstract_excerpt":"Focal cortical dysplasia (FCD) is a leading cause of drug-resistant focal epilepsy, which can be cured by surgery. These lesions are extremely subtle and often missed even by expert neuroradiologists. \"Ground truth\" manual lesion masks are therefore expensive, limited and have large inter-rater variability. Existing FCD detection methods are limited by high numbers of false positive predictions, primarily due to vertex- or patch-based approaches that lack whole-brain context. Here, we propose to approach the problem as semantic segmentation using graph convolutional networks (GCN), which allow"},"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":"2306.01375","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-06-02T08:56:56Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"d461132ed4478493a6e6659bb73b8fd3ad9ba8841dcf08d66bc1302e309e8d70","abstract_canon_sha256":"ba821994d7bfa797bf0474f205d513f3edc3ee2d2541c3f6e93d8a54e5b00a19"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:17:29.546610Z","signature_b64":"Yj90KSHAoWziUwvb64sPvEJ1PZnBSyqTiGna80XdlH127VaKEkn687dcr/Z9BJIoFqzWeu3ybWbIe9JltqwEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6847e1d48ddeca48599a5ad5c34b6c7d09214becd8f6fcf7ccb0bdec04e82511","last_reissued_at":"2026-07-05T06:17:29.546124Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:17:29.546124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Abdulah Fawaz, Emma Robinson, Hannah Spitzer, Juan Eugenio Iglesias, Konrad Wagstyl, Logan Z. J. Williams, Mathilde Ripart, MELD project, Sophie Adler","submitted_at":"2023-06-02T08:56:56Z","abstract_excerpt":"Focal cortical dysplasia (FCD) is a leading cause of drug-resistant focal epilepsy, which can be cured by surgery. These lesions are extremely subtle and often missed even by expert neuroradiologists. \"Ground truth\" manual lesion masks are therefore expensive, limited and have large inter-rater variability. Existing FCD detection methods are limited by high numbers of false positive predictions, primarily due to vertex- or patch-based approaches that lack whole-brain context. Here, we propose to approach the problem as semantic segmentation using graph convolutional networks (GCN), which allow"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01375","kind":"arxiv","version":2},"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/2306.01375/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":"2306.01375","created_at":"2026-07-05T06:17:29.546183+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.01375v2","created_at":"2026-07-05T06:17:29.546183+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01375","created_at":"2026-07-05T06:17:29.546183+00:00"},{"alias_kind":"pith_short_12","alias_value":"NBD6DVEN33FE","created_at":"2026-07-05T06:17:29.546183+00:00"},{"alias_kind":"pith_short_16","alias_value":"NBD6DVEN33FEQWM2","created_at":"2026-07-05T06:17:29.546183+00:00"},{"alias_kind":"pith_short_8","alias_value":"NBD6DVEN","created_at":"2026-07-05T06:17:29.546183+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/NBD6DVEN33FEQWM2LLK4GS3MPU","json":"https://pith.science/pith/NBD6DVEN33FEQWM2LLK4GS3MPU.json","graph_json":"https://pith.science/api/pith-number/NBD6DVEN33FEQWM2LLK4GS3MPU/graph.json","events_json":"https://pith.science/api/pith-number/NBD6DVEN33FEQWM2LLK4GS3MPU/events.json","paper":"https://pith.science/paper/NBD6DVEN"},"agent_actions":{"view_html":"https://pith.science/pith/NBD6DVEN33FEQWM2LLK4GS3MPU","download_json":"https://pith.science/pith/NBD6DVEN33FEQWM2LLK4GS3MPU.json","view_paper":"https://pith.science/paper/NBD6DVEN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.01375&json=true","fetch_graph":"https://pith.science/api/pith-number/NBD6DVEN33FEQWM2LLK4GS3MPU/graph.json","fetch_events":"https://pith.science/api/pith-number/NBD6DVEN33FEQWM2LLK4GS3MPU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NBD6DVEN33FEQWM2LLK4GS3MPU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NBD6DVEN33FEQWM2LLK4GS3MPU/action/storage_attestation","attest_author":"https://pith.science/pith/NBD6DVEN33FEQWM2LLK4GS3MPU/action/author_attestation","sign_citation":"https://pith.science/pith/NBD6DVEN33FEQWM2LLK4GS3MPU/action/citation_signature","submit_replication":"https://pith.science/pith/NBD6DVEN33FEQWM2LLK4GS3MPU/action/replication_record"}},"created_at":"2026-07-05T06:17:29.546183+00:00","updated_at":"2026-07-05T06:17:29.546183+00:00"}