{"id":"https://openalex.org/W7167021116","doi":"https://doi.org/10.48550/arxiv.2607.00201","title":"Trust the Prior (or Not): Uncertainty-Aware Abdominal Aortic Aneurysm Segmentation","display_name":"Trust the Prior (or Not): Uncertainty-Aware Abdominal Aortic Aneurysm Segmentation","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7167021116","doi":"https://doi.org/10.48550/arxiv.2607.00201"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.00201","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00201","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.00201","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092966927","display_name":"Erich Robbi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robbi, Erich","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070218300","display_name":"Daniele Ravanelli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravanelli, Daniele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066187890","display_name":"Andrea Passerini","orcid":"https://orcid.org/0000-0002-2765-5395"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Passerini, Andrea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10983","display_name":"Aortic aneurysm repair treatments","score":0.871999979019165,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10983","display_name":"Aortic aneurysm repair treatments","score":0.871999979019165,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.02290000021457672,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10618","display_name":"Aortic Disease and Treatment Approaches","score":0.01269999984651804,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6661999821662903},{"id":"https://openalex.org/keywords/abdominal-aortic-aneurysm","display_name":"Abdominal aortic aneurysm","score":0.5979999899864197},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5947999954223633},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5605999827384949},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.48840001225471497},{"id":"https://openalex.org/keywords/computed-tomography-angiography","display_name":"Computed tomography angiography","score":0.4632999897003174},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.42329999804496765},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41179999709129333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3702000081539154}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.717199981212616},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6661999821662903},{"id":"https://openalex.org/C2779993416","wikidata":"https://www.wikidata.org/wiki/Q2256736","display_name":"Abdominal aortic aneurysm","level":3,"score":0.5979999899864197},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5947999954223633},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5605999827384949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5055000185966492},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48840001225471497},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.4632999897003174},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4472000002861023},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.42329999804496765},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41179999709129333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3982999920845032},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3774999976158142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C2781362458","wikidata":"https://www.wikidata.org/wiki/Q1588755","display_name":"Thrombus","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2630000114440918},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.00201","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00201","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.00201","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00201","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7592343091964722,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Robust":[0],"segmentation":[1],"of":[2,44,82,147],"intraluminal":[3],"thrombus":[4,21],"is":[5],"critical":[6],"for":[7,108],"risk":[8],"assessment":[9],"in":[10,111,133],"Abdominal":[11],"Aortic":[12],"Aneurysm,":[13],"yet":[14],"it":[15],"remains":[16],"challenging":[17],"due":[18],"to":[19,102,135],"heterogeneous":[20],"features":[22],"and":[23,85,128,149],"low":[24],"contrast":[25],"with":[26,61],"surrounding":[27],"non-enhanced":[28],"tissues.":[29],"Domain":[30],"shifts":[31],"induced":[32],"by":[33],"different":[34],"Computed":[35],"Tomography":[36],"Angiography":[37],"(CTA)":[38],"protocols":[39],"further":[40],"inhibit":[41],"multi-center":[42,137],"generalization":[43,134],"deep":[45],"learning":[46,60],"models.":[47],"To":[48],"address":[49],"these":[50],"challenges,":[51],"we":[52],"propose":[53],"a":[54,72,78],"patient-specific":[55,73],"framework":[56],"that":[57,92],"integrates":[58],"discriminative":[59],"anatomically":[62],"informed":[63],"priors.":[64,117],"Our":[65],"approach":[66],"introduces":[67],"two":[68],"key":[69],"components:":[70],"(1)":[71],"intensity":[74],"normalization":[75],"based":[76],"on":[77,124],"Gaussian":[79],"Mixture":[80],"Model":[81],"local":[83],"anatomy,":[84],"(2)":[86],"an":[87,144],"Uncertainty-Gated":[88],"Anatomical":[89],"Attention":[90],"module":[91],"incorporates":[93],"spatial":[94],"priors":[95],"while":[96,114,140],"adaptively":[97],"modulating":[98],"their":[99],"influence":[100],"according":[101],"voxel-wise":[103],"confidence.":[104],"This":[105],"design":[106],"allows":[107],"anatomical":[109,150],"guidance":[110],"ambiguous":[112],"regions":[113],"suppressing":[115],"unreliable":[116],"The":[118],"proposed":[119],"method":[120],"achieves":[121],"state-of-the-art":[122],"performance":[123],"in-distribution":[125],"test":[126],"data":[127],"substantially":[129],"outperforms":[130],"existing":[131],"alternatives":[132],"external":[136],"CTA":[138],"data,":[139],"remaining":[141],"interpretable":[142],"through":[143],"explicit":[145],"separation":[146],"visual":[148],"evidence.":[151]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-03T00:00:00"}