{"id":"https://openalex.org/W7128510380","doi":"https://doi.org/10.48550/arxiv.2602.07872","title":"WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning","display_name":"WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning","publication_year":2026,"publication_date":"2026-02-08","ids":{"openalex":"https://openalex.org/W7128510380","doi":"https://doi.org/10.48550/arxiv.2602.07872"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.07872","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125557349","display_name":"Mert Sonmezer","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sonmezer, Mert","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125571791","display_name":"Serge Vasylechko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasylechko, Serge","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125509841","display_name":"Duygu Atasoy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Atasoy, Duygu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ertekin, Seyda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ertekin, Seyda","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078857532","display_name":"Sila Kurugol","orcid":"https://orcid.org/0000-0002-5081-4569"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kurugol, Sila","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5125557349"],"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.2957000136375427,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.2957000136375427,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.08299999684095383,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.041200000792741776,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wrist","display_name":"Wrist","score":0.703000009059906},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.5278000235557556},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47920000553131104},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.4659000039100647},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4027999937534332},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.3068000078201294}],"concepts":[{"id":"https://openalex.org/C2778216619","wikidata":"https://www.wikidata.org/wiki/Q185706","display_name":"Wrist","level":2,"score":0.703000009059906},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5666999816894531},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.5278000235557556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4959999918937683},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4620000123977661},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4341999888420105},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3012000024318695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.29280000925064087},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.2791999876499176},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.07872","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.07872","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.07872","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.07872","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.7416929006576538,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Retrieving":[0],"wrist":[1,49,88],"radiographs":[2],"with":[3,86,190],"analogous":[4],"fracture":[5,156,171],"patterns":[6],"is":[7,28,222],"challenging":[8],"because":[9],"clinically":[10,64,188],"important":[11],"cues":[12],"are":[13],"subtle,":[14],"highly":[15],"localized":[16],"and":[17,58,82,90,99,106,110,180,211],"often":[18],"obscured":[19],"by":[20,31,125],"overlapping":[21],"anatomy":[22],"or":[23],"variable":[24],"imaging":[25],"views.":[26],"Progress":[27],"further":[29],"limited":[30],"the":[32,94,165,201],"scarcity":[33],"of":[34,93,203],"large,":[35],"well-annotated":[36],"datasets":[37],"for":[38],"case-based":[39],"medical":[40],"image":[41,66],"retrieval.":[42],"We":[43],"introduce":[44],"WristMIR,":[45],"a":[46,112,131],"region-aware":[47,163],"pediatric":[48,216],"radiograph":[50],"retrieval":[51,114,138,206],"framework":[52],"that":[53],"leverages":[54],"dense":[55],"radiology":[56],"reports":[57],"bone-specific":[59,91],"localization":[60],"to":[61,78,120,130,149,178,196,207],"learn":[62],"fine-grained,":[63],"meaningful":[65],"representations":[67],"without":[68],"any":[69],"manual":[70],"image-level":[71],"annotations.":[72],"Using":[73],"MedGemma-based":[74],"structured":[75],"report":[76],"mining":[77],"generate":[79],"both":[80],"global":[81,105,118],"region-level":[83],"captions,":[84],"together":[85],"pre-processed":[87],"images":[89],"crops":[92],"distal":[95,97],"radius,":[96],"ulna,":[98],"ulnar":[100],"styloid,":[101],"WristMIR":[102,136],"jointly":[103],"trains":[104],"local":[107],"contrastive":[108],"encoders":[109],"performs":[111],"two-stage":[113,166],"process:":[115],"(1)":[116],"coarse":[117],"matching":[119],"identify":[121],"candidate":[122],"exams,":[123],"followed":[124],"(2)":[126],"region-conditioned":[127],"reranking":[128],"aligned":[129],"predefined":[132],"anatomical":[133],"bone":[134],"region.":[135],"improves":[137,169],"performance":[139],"over":[140],"strong":[141],"vision-language":[142],"baselines,":[143],"raising":[144],"image-to-text":[145],"Recall@5":[146],"from":[147,176,194],"0.82%":[148],"9.35%.":[150],"Its":[151],"embeddings":[152],"also":[153],"yield":[154],"stronger":[155],"classification":[157],"(AUROC":[158],"0.949,":[159],"AUPRC":[160],"0.953).":[161],"In":[162],"evaluation,":[164],"design":[167],"markedly":[168],"retrieval-based":[170],"diagnosis,":[172],"increasing":[173],"mean":[174,191],"$F_1$":[175],"0.568":[177],"0.753,":[179],"radiologists":[181],"rate":[182],"its":[183],"retrieved":[184],"cases":[185],"as":[186],"more":[187],"relevant,":[189],"scores":[192],"rising":[193],"3.36":[195],"4.35.":[197],"These":[198],"findings":[199],"highlight":[200],"potential":[202],"anatomically":[204],"guided":[205],"enhance":[208],"diagnostic":[209],"reasoning":[210],"support":[212],"clinical":[213],"decision-making":[214],"in":[215],"musculoskeletal":[217],"imaging.":[218],"The":[219],"source":[220],"code":[221],"publicly":[223],"available":[224],"at":[225],"https://github.com/quin-med-harvard-edu/WristMIR.":[226]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-11T00:00:00"}
