{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WI3UPP6RAQ3JHASVI73R547PZY","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":"a6321558b1d397314378257f1e21c5055a6e44a10f9ef7fb4b1783a606782b28","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-22T20:52:14Z","title_canon_sha256":"f558bf0cbc799745b86bf2256b5b3dbb1350142ca28c046e89b6b54dfaa709c0"},"schema_version":"1.0","source":{"id":"1709.07944","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.07944","created_at":"2026-05-18T00:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"1709.07944v2","created_at":"2026-05-18T00:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.07944","created_at":"2026-05-18T00:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"WI3UPP6RAQ3J","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WI3UPP6RAQ3JHASV","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WI3UPP6R","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:7855ca89089548680270c83a0eb197d8108807bd83a46d6ca77887a99f584928","target":"graph","created_at":"2026-05-18T00:18:00Z","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":"Voxelwise classification approaches are popular and effective methods for tissue quantification in brain magnetic resonance imaging (MRI) scans. However, generalization of these approaches is hampered by large differences between sets of MRI scans such as differences in field strength, vendor or acquisition protocols. Due to this acquisition related variation, classifiers trained on data from a specific scanner fail or under-perform when applied to data that was acquired differently. In order to address this lack of generalization, we propose a Siamese neural network (MRAI-net) to learn a repr","authors_text":"Adri\\\"enne M. Mendrik, Lambertus W. Bartels, Marco Loog, Wouter M. Kouw","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-22T20:52:14Z","title":"MR Acquisition-Invariant Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.07944","kind":"arxiv","version":2},"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:cde1602cb196d5749309f09fce3a8b7386eaf2793f7c52dbd858733d110229a9","target":"record","created_at":"2026-05-18T00:18:00Z","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":"a6321558b1d397314378257f1e21c5055a6e44a10f9ef7fb4b1783a606782b28","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-22T20:52:14Z","title_canon_sha256":"f558bf0cbc799745b86bf2256b5b3dbb1350142ca28c046e89b6b54dfaa709c0"},"schema_version":"1.0","source":{"id":"1709.07944","kind":"arxiv","version":2}},"canonical_sha256":"b23747bfd1043693825547f71ef3efce37ea704214d298895966b2bea2eb3168","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b23747bfd1043693825547f71ef3efce37ea704214d298895966b2bea2eb3168","first_computed_at":"2026-05-18T00:18:00.142858Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:00.142858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p/hkAF43M4Q0vPRjnlyoQ7fY/RCQYl6FL3hWdI9UMKPaA0pFzqvJMDodrWCSMjJs1fMqe0AQBIdoRg0LUOQcAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:00.143480Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.07944","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cde1602cb196d5749309f09fce3a8b7386eaf2793f7c52dbd858733d110229a9","sha256:7855ca89089548680270c83a0eb197d8108807bd83a46d6ca77887a99f584928"],"state_sha256":"92c9c6ee9955941c49106623ae4c8f61d82c0cb202a414436235076eb766b706"}