{"id":"https://openalex.org/W7138392706","doi":"https://doi.org/10.48550/arxiv.2603.13382","title":"DINOv3 with Test-Time Calibration for Automated Carotid Intima-Media Thickness Measurement on CUBS v1","display_name":"DINOv3 with Test-Time Calibration for Automated Carotid Intima-Media Thickness Measurement on CUBS v1","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7138392706","doi":"https://doi.org/10.48550/arxiv.2603.13382"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.13382","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13382","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2603.13382","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129733332","display_name":"Zhenpeng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhenpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129703180","display_name":"Jinwei Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Jinwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129659776","display_name":"Yurui Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Yurui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5007835933","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0002-3185-2690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Bo","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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.7796000242233276,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.7796000242233276,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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":0.04600000008940697,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.04410000145435333,"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/calibration","display_name":"Calibration","score":0.7626000046730042},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6516000032424927},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.44290000200271606},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4277999997138977},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4000999927520752},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4000000059604645},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.37459999322891235},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.3700999915599823}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7626000046730042},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6516000032424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6351000070571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4846000075340271},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.415800005197525},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37459999322891235},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C2779339615","wikidata":"https://www.wikidata.org/wiki/Q2698596","display_name":"Intima-media thickness","level":3,"score":0.35190001130104065},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.3450999855995178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.3264999985694885},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3149000108242035},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30079999566078186},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C202799725","wikidata":"https://www.wikidata.org/wiki/Q272035","display_name":"Accuracy and precision","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27959999442100525},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.26260000467300415}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.13382","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13382","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.13382","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13382","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Carotid":[0,90],"intima-media":[1,81,101],"thickness":[2],"(CIMT)":[3],"measured":[4],"from":[5,188],"B-mode":[6],"ultrasound":[7],"is":[8],"an":[9],"established":[10],"vascular":[11],"biomarker":[12],"for":[13,29,79,115,220,249],"atherosclerosis":[14],"and":[15,33,37,45,67,84,110,126,148],"cardiovascular":[16],"risk":[17],"stratification.":[18],"Although":[19],"a":[20,76,104,140,165,174,227],"wide":[21],"range":[22],"of":[23,53,144,150,169,244],"computerized":[24,222],"methods":[25],"have":[26],"been":[27],"proposed":[28],"carotid":[30,80],"boundary":[31],"delineation":[32],"CIMT":[34,86,128,156,186,252],"estimation,":[35],"robust":[36],"transferable":[38],"deep":[39],"models":[40,248],"that":[41],"jointly":[42],"address":[43],"segmentation":[44,66,83],"measurement":[46,87,236],"remain":[47],"underexplored,":[48],"particularly":[49],"in":[50,61,70,129,215],"the":[51,89,100,119,183,192,199,211,216,231,242],"era":[52],"vision":[54,246],"foundation":[55,247],"models.":[56],"Motivated":[57],"by":[58,124],"recent":[59],"advances":[60],"adapting":[62],"DINOv3":[63,69],"to":[64,195,210],"medical":[65],"exploiting":[68],"test-time":[71,179],"optimization":[72],"pipelines,":[73],"we":[74],"investigate":[75],"DINOv3-based":[77,228],"framework":[78],"complex":[82],"subsequent":[85],"on":[88],"Ultrasound":[91],"Boundary":[92],"Study":[93],"(CUBS)":[94],"v1":[95],"dataset.":[96],"Our":[97],"pipeline":[98],"predicts":[99],"band":[102],"at":[103,191,198],"fixed":[105],"image":[106,116],"resolution,":[107],"extracts":[108],"upper":[109],"lower":[111],"boundaries":[112],"column-wise,":[113],"corrects":[114],"resizing":[117],"using":[118,245],"per-image":[120],"calibration":[121,181],"factor":[122],"provided":[123],"CUBS,":[125],"reports":[127],"physical":[130],"units.":[131],"Across":[132],"three":[133],"patient-level":[134],"test":[135,142],"splits,":[136],"our":[137,239],"method":[138],"achieved":[139],"mean":[141,155,166,184],"Dice":[143],"0.7739":[145],"$\\pm$":[146,152,161,171],"0.0037":[147],"IoU":[149],"0.6384":[151],"0.0044.":[153],"The":[154],"absolute":[157,185],"error":[158,187,212],"was":[159],"181.16":[160],"11.57":[162],"$\u03bc$m,":[163],"with":[164],"Pearson":[167],"correlation":[168],"0.480":[170],"0.259.":[172],"In":[173],"held-out":[175],"validation":[176],"subset":[177],"($n=28$),":[178],"threshold":[180,194],"reduced":[182],"141.0":[189],"$\u03bc$m":[190,197],"default":[193],"101.1":[196],"measurement-optimized":[200],"threshold,":[201],"while":[202],"simultaneously":[203],"reducing":[204],"systematic":[205],"bias":[206],"toward":[207],"zero.":[208],"Relative":[209],"ranges":[213],"reported":[214],"original":[217],"CUBS":[218],"benchmark":[219],"classical":[221],"methods,":[223],"these":[224],"results":[225],"place":[226],"approach":[229],"within":[230],"clinically":[232],"relevant":[233],"$\\sim$0.1":[234],"mm":[235],"regime.":[237],"Together,":[238],"findings":[240],"support":[241],"feasibility":[243],"interpretable,":[250],"calibration-aware":[251],"measurement.":[253]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}