{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:UM2YFPTUJ3DIVQ4Y4ESAVIJRYG","short_pith_number":"pith:UM2YFPTU","canonical_record":{"source":{"id":"2212.09310","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-12-19T09:14:23Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"2b2454f8fb06039d20297e253fa155f32f27b50760b0d38858594a38cfb15424","abstract_canon_sha256":"c4b35b161cb56f17fda73a1699a71f9e729412957652c64d72bd1614f185a587"},"schema_version":"1.0"},"canonical_sha256":"a33582be744ec68ac398e1240aa131c1801ffe7e1c8150fe83cdd394d394616b","source":{"kind":"arxiv","id":"2212.09310","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.09310","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"arxiv_version","alias_value":"2212.09310v1","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.09310","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"pith_short_12","alias_value":"UM2YFPTUJ3DI","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"UM2YFPTUJ3DIVQ4Y","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"UM2YFPTU","created_at":"2026-07-05T05:26:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:UM2YFPTUJ3DIVQ4Y4ESAVIJRYG","target":"record","payload":{"canonical_record":{"source":{"id":"2212.09310","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-12-19T09:14:23Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"2b2454f8fb06039d20297e253fa155f32f27b50760b0d38858594a38cfb15424","abstract_canon_sha256":"c4b35b161cb56f17fda73a1699a71f9e729412957652c64d72bd1614f185a587"},"schema_version":"1.0"},"canonical_sha256":"a33582be744ec68ac398e1240aa131c1801ffe7e1c8150fe83cdd394d394616b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:26:20.865878Z","signature_b64":"fI8AbET3yUFAJDQsoEuuO1JMBvp8WlUQcou3/QPs9AV4Y1VbSFqexYS8bCTAEbP3bMU4w4YmxjZgwGx0fmXVCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a33582be744ec68ac398e1240aa131c1801ffe7e1c8150fe83cdd394d394616b","last_reissued_at":"2026-07-05T05:26:20.865388Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:26:20.865388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.09310","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6ULn4U8xuik/W9MVrjeWArtaNQlc84z4L63DwyGB/uQTF6Jfi8Vlet/U4N2UgMqwgnipxOS6nECkgVy8jfPeCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:27:03.023191Z"},"content_sha256":"bb9727f44816119a66a66f81cdb68b7100984e6a02c38d9c6aa0587eb232480e","schema_version":"1.0","event_id":"sha256:bb9727f44816119a66a66f81cdb68b7100984e6a02c38d9c6aa0587eb232480e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:UM2YFPTUJ3DIVQ4Y4ESAVIJRYG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Franziska Mathis-Ullrich, Mohamed E. Karar, Oliver Burgert, Ramy A. Zeineldin","submitted_at":"2022-12-19T09:14:23Z","abstract_excerpt":"Automatic segmentation is essential for the brain tumor diagnosis, disease prognosis, and follow-up therapy of patients with gliomas. Still, accurate detection of gliomas and their sub-regions in multimodal MRI is very challenging due to the variety of scanners and imaging protocols. Over the last years, the BraTS Challenge has provided a large number of multi-institutional MRI scans as a benchmark for glioma segmentation algorithms. This paper describes our contribution to the BraTS 2022 Continuous Evaluation challenge. We propose a new ensemble of multiple deep learning frameworks namely, De"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.09310","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/2212.09310/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QaJdEPOhBUkLAWS/MrxyHnYoqxc+M2agn8yQkCZQuqeXwoJjOUBHcbh1vTqJTgQ/liYQQx2pRwimEewyJ3EcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:27:03.024102Z"},"content_sha256":"dcb7e42d0a0a31190ed743e352818ba337989e861c65978d99cd571616f6a7c9","schema_version":"1.0","event_id":"sha256:dcb7e42d0a0a31190ed743e352818ba337989e861c65978d99cd571616f6a7c9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UM2YFPTUJ3DIVQ4Y4ESAVIJRYG/bundle.json","state_url":"https://pith.science/pith/UM2YFPTUJ3DIVQ4Y4ESAVIJRYG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UM2YFPTUJ3DIVQ4Y4ESAVIJRYG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T03:27:03Z","links":{"resolver":"https://pith.science/pith/UM2YFPTUJ3DIVQ4Y4ESAVIJRYG","bundle":"https://pith.science/pith/UM2YFPTUJ3DIVQ4Y4ESAVIJRYG/bundle.json","state":"https://pith.science/pith/UM2YFPTUJ3DIVQ4Y4ESAVIJRYG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UM2YFPTUJ3DIVQ4Y4ESAVIJRYG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UM2YFPTUJ3DIVQ4Y4ESAVIJRYG","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c4b35b161cb56f17fda73a1699a71f9e729412957652c64d72bd1614f185a587","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-12-19T09:14:23Z","title_canon_sha256":"2b2454f8fb06039d20297e253fa155f32f27b50760b0d38858594a38cfb15424"},"schema_version":"1.0","source":{"id":"2212.09310","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.09310","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"arxiv_version","alias_value":"2212.09310v1","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.09310","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"pith_short_12","alias_value":"UM2YFPTUJ3DI","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"UM2YFPTUJ3DIVQ4Y","created_at":"2026-07-05T05:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"UM2YFPTU","created_at":"2026-07-05T05:26:20Z"}],"graph_snapshots":[{"event_id":"sha256:dcb7e42d0a0a31190ed743e352818ba337989e861c65978d99cd571616f6a7c9","target":"graph","created_at":"2026-07-05T05:26:20Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2212.09310/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic segmentation is essential for the brain tumor diagnosis, disease prognosis, and follow-up therapy of patients with gliomas. Still, accurate detection of gliomas and their sub-regions in multimodal MRI is very challenging due to the variety of scanners and imaging protocols. Over the last years, the BraTS Challenge has provided a large number of multi-institutional MRI scans as a benchmark for glioma segmentation algorithms. This paper describes our contribution to the BraTS 2022 Continuous Evaluation challenge. We propose a new ensemble of multiple deep learning frameworks namely, De","authors_text":"Franziska Mathis-Ullrich, Mohamed E. Karar, Oliver Burgert, Ramy A. Zeineldin","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-12-19T09:14:23Z","title":"Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.09310","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:bb9727f44816119a66a66f81cdb68b7100984e6a02c38d9c6aa0587eb232480e","target":"record","created_at":"2026-07-05T05:26:20Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c4b35b161cb56f17fda73a1699a71f9e729412957652c64d72bd1614f185a587","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-12-19T09:14:23Z","title_canon_sha256":"2b2454f8fb06039d20297e253fa155f32f27b50760b0d38858594a38cfb15424"},"schema_version":"1.0","source":{"id":"2212.09310","kind":"arxiv","version":1}},"canonical_sha256":"a33582be744ec68ac398e1240aa131c1801ffe7e1c8150fe83cdd394d394616b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a33582be744ec68ac398e1240aa131c1801ffe7e1c8150fe83cdd394d394616b","first_computed_at":"2026-07-05T05:26:20.865388Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:26:20.865388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fI8AbET3yUFAJDQsoEuuO1JMBvp8WlUQcou3/QPs9AV4Y1VbSFqexYS8bCTAEbP3bMU4w4YmxjZgwGx0fmXVCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:26:20.865878Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.09310","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb9727f44816119a66a66f81cdb68b7100984e6a02c38d9c6aa0587eb232480e","sha256:dcb7e42d0a0a31190ed743e352818ba337989e861c65978d99cd571616f6a7c9"],"state_sha256":"17cb775d8232e0aa2a562e774680e756697fd5078083dcac2b5b7d98cccbb819"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xsD54kTd5MTM5eMqnmPeOPVGKssRgIoFAyhHLpCxco6gPF9MKt0fAN13jWtI7BhsiVvGORkk3yhh3Cimchi0Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:27:03.029237Z","bundle_sha256":"a199726fa805dc3750431ae207f8c1a800c9a3207f32e5a4bcae45f19253684d"}}