{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JOWZJB2O5PV644257SJOSAKNS2","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":"3c406605cea34ab1d2f376c515bc08b8646711d518b2a0f6c43ced92dfd5d427","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T08:33:43Z","title_canon_sha256":"3b63dee824cfdbc0bea48c07293b30a0f3dc3ba2a38077116b1f5091b5d57637"},"schema_version":"1.0","source":{"id":"1807.06277","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.06277","created_at":"2026-05-18T00:10:33Z"},{"alias_kind":"arxiv_version","alias_value":"1807.06277v1","created_at":"2026-05-18T00:10:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.06277","created_at":"2026-05-18T00:10:33Z"},{"alias_kind":"pith_short_12","alias_value":"JOWZJB2O5PV6","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JOWZJB2O5PV64425","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JOWZJB2O","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:afdb075074005d8bdedf77853652a7a7a9ec74f0146610a7c934ca6639eaed6a","target":"graph","created_at":"2026-05-18T00:10:33Z","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"},"paper":{"abstract_excerpt":"End-to-end deep learning improves breast cancer classification on diffusion-weighted MR images (DWI) using a convolutional neural network (CNN) architecture. A limitation of CNN as opposed to previous model-based approaches is the dependence on specific DWI input channels used during training. However, in the context of large-scale application, methods agnostic towards heterogeneous inputs are desirable, due to the high deviation of scanning protocols between clinical sites. We propose model-based domain adaptation to overcome input dependencies and avoid re-training of networks at clinical si","authors_text":"Franziska Koenig, Frederik Bernd Laun, Heidi Daniel, Heinz-Peter Schlemmer, Jennifer Kamphenkel, Klaus H. Maier-Hein, Paul F. Jaeger, Sebastian Bickelhaupt, Stefan Delorme, Tristan Anselm Kuder, Wolfgang Lederer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T08:33:43Z","title":"Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.06277","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:ff5380074bc62af15b9fa7d9d731e73719f938906ba1de907d4654fa467a5dd2","target":"record","created_at":"2026-05-18T00:10:33Z","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":"3c406605cea34ab1d2f376c515bc08b8646711d518b2a0f6c43ced92dfd5d427","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T08:33:43Z","title_canon_sha256":"3b63dee824cfdbc0bea48c07293b30a0f3dc3ba2a38077116b1f5091b5d57637"},"schema_version":"1.0","source":{"id":"1807.06277","kind":"arxiv","version":1}},"canonical_sha256":"4bad94874eebebee735dfc92e9014d96b3c5ae3b7195798cd02dba70b48ab3b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bad94874eebebee735dfc92e9014d96b3c5ae3b7195798cd02dba70b48ab3b7","first_computed_at":"2026-05-18T00:10:33.498309Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:33.498309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xlQ2jdpkiZxnyrTFY76rZICqifT0agIZLvwqOSaBQG9cJTsbA78gNS+Nw4NDy6YS6wbSEfGUaobUlAhNQj5NDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:33.499034Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.06277","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff5380074bc62af15b9fa7d9d731e73719f938906ba1de907d4654fa467a5dd2","sha256:afdb075074005d8bdedf77853652a7a7a9ec74f0146610a7c934ca6639eaed6a"],"state_sha256":"fc6de74df6e3bce396ff627c0ac0e976c305bb082ce1c18cd3c215c30919ce3f"}