{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:TGFUIXOFNHHCMQTDJG2DWC2OO4","short_pith_number":"pith:TGFUIXOF","schema_version":"1.0","canonical_sha256":"998b445dc569ce26426349b43b0b4e77259f8fb72054d80ff5ccc0d63d92d576","source":{"kind":"arxiv","id":"2306.14678","version":1},"attestation_state":"computed","paper":{"title":"Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Alexander Effland, Alexander Radbruch, Erich Kobler, Katerina Deike-Hofmann, Robert Haase, Thomas Pinetz","submitted_at":"2023-06-26T13:19:37Z","abstract_excerpt":"Today Gadolinium-based contrast agents (GBCA) are indispensable in Magnetic Resonance Imaging (MRI) for diagnosing various diseases. However, GBCAs are expensive and may accumulate in patients with potential side effects, thus dose-reduction is recommended. Still, it is unclear to which extent the GBCA dose can be reduced while preserving the diagnostic value -- especially in pathological regions. To address this issue, we collected brain MRI scans at numerous non-standard GBCA dosages and developed a conditional GAN model for synthesizing corresponding images at fractional dose levels. Along "},"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":"2306.14678","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-06-26T13:19:37Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a0e7778c607ad684a74a88ca8980d9c9df169463ef9593875eaef1b7b0299ccf","abstract_canon_sha256":"6ae25b7d7b369641aadf739a0762ee384bd682bfcc9b91c2f5dc7864baf520b6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:24:39.575741Z","signature_b64":"SznQhZKbSKLuh3rOfrHwwu8IvsgliS5U0nxni+zUqALcFQHToKiqHZfulFuCpdBDIr1OdMqHz4QOKOB6qxwyDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"998b445dc569ce26426349b43b0b4e77259f8fb72054d80ff5ccc0d63d92d576","last_reissued_at":"2026-07-05T06:24:39.575352Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:24:39.575352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Alexander Effland, Alexander Radbruch, Erich Kobler, Katerina Deike-Hofmann, Robert Haase, Thomas Pinetz","submitted_at":"2023-06-26T13:19:37Z","abstract_excerpt":"Today Gadolinium-based contrast agents (GBCA) are indispensable in Magnetic Resonance Imaging (MRI) for diagnosing various diseases. However, GBCAs are expensive and may accumulate in patients with potential side effects, thus dose-reduction is recommended. Still, it is unclear to which extent the GBCA dose can be reduced while preserving the diagnostic value -- especially in pathological regions. To address this issue, we collected brain MRI scans at numerous non-standard GBCA dosages and developed a conditional GAN model for synthesizing corresponding images at fractional dose levels. Along "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.14678","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/2306.14678/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":"2306.14678","created_at":"2026-07-05T06:24:39.575415+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.14678v1","created_at":"2026-07-05T06:24:39.575415+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.14678","created_at":"2026-07-05T06:24:39.575415+00:00"},{"alias_kind":"pith_short_12","alias_value":"TGFUIXOFNHHC","created_at":"2026-07-05T06:24:39.575415+00:00"},{"alias_kind":"pith_short_16","alias_value":"TGFUIXOFNHHCMQTD","created_at":"2026-07-05T06:24:39.575415+00:00"},{"alias_kind":"pith_short_8","alias_value":"TGFUIXOF","created_at":"2026-07-05T06:24:39.575415+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/TGFUIXOFNHHCMQTDJG2DWC2OO4","json":"https://pith.science/pith/TGFUIXOFNHHCMQTDJG2DWC2OO4.json","graph_json":"https://pith.science/api/pith-number/TGFUIXOFNHHCMQTDJG2DWC2OO4/graph.json","events_json":"https://pith.science/api/pith-number/TGFUIXOFNHHCMQTDJG2DWC2OO4/events.json","paper":"https://pith.science/paper/TGFUIXOF"},"agent_actions":{"view_html":"https://pith.science/pith/TGFUIXOFNHHCMQTDJG2DWC2OO4","download_json":"https://pith.science/pith/TGFUIXOFNHHCMQTDJG2DWC2OO4.json","view_paper":"https://pith.science/paper/TGFUIXOF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.14678&json=true","fetch_graph":"https://pith.science/api/pith-number/TGFUIXOFNHHCMQTDJG2DWC2OO4/graph.json","fetch_events":"https://pith.science/api/pith-number/TGFUIXOFNHHCMQTDJG2DWC2OO4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TGFUIXOFNHHCMQTDJG2DWC2OO4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TGFUIXOFNHHCMQTDJG2DWC2OO4/action/storage_attestation","attest_author":"https://pith.science/pith/TGFUIXOFNHHCMQTDJG2DWC2OO4/action/author_attestation","sign_citation":"https://pith.science/pith/TGFUIXOFNHHCMQTDJG2DWC2OO4/action/citation_signature","submit_replication":"https://pith.science/pith/TGFUIXOFNHHCMQTDJG2DWC2OO4/action/replication_record"}},"created_at":"2026-07-05T06:24:39.575415+00:00","updated_at":"2026-07-05T06:24:39.575415+00:00"}