{"paper":{"title":"The R-Vessel-X Project","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Abir Affane (IP), Antoine Vacavant (IP), Benoit Magnin (IP), Bertrand Kerautret (LIRIS), Guillaume Doll\\'e (LMR), Guillaume Lienemann (IP), Hugo Rositi (LORIA), Jonas Lamy (LIRIS), Julien Finet, Marie-Ange L\\`ebre (IP), Mathilde Morvan (IP), Mohamed Amine Chetoui (IP), Nicolas Passat (CRESTIC), Odyss\\'ee Merveille (CREATIS), P. Beaurepaire (IP), Phuc Ngo (LORIA), Rapha\\\"el Peron (IP), St\\'ephanie Salmon (LMR), Thibault Pelletier","submitted_at":"2025-01-17T09:40:17Z","abstract_excerpt":"1) Objectives: This technical report presents a synthetic summary and the principal outcomes of the project R-Vessel-X (\"Robust vascular network extraction and understanding within hepatic biomedical images\") funded by the French Agence Nationale de la Recherche, and developed between 2019 and 2023. 2) Material and methods: We used datasets and tools publicly available such as IRCAD, Bullitt or VascuSynth toobtain real or synthetic angiographic images. The main contributions lie in the field of 3D angiographic image analysis: filtering, segmentation, modeling and simulation, with a specific fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.10068","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/2501.10068/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"}