{"id":"https://openalex.org/W4416144374","doi":"https://doi.org/10.1145/3721201.3725508","title":"Knee Osteoarthritis Detection Using Bone Distances","display_name":"Knee Osteoarthritis Detection Using Bone Distances","publication_year":2025,"publication_date":"2025-06-24","ids":{"openalex":"https://openalex.org/W4416144374","doi":"https://doi.org/10.1145/3721201.3725508"},"language":null,"primary_location":{"id":"doi:10.1145/3721201.3725508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721201.3725508","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721201.3725508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3721201.3725508","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111558829","display_name":"C.E. Lewis","orcid":"https://orcid.org/0009-0000-7899-5026"},"institutions":[{"id":"https://openalex.org/I126863827","display_name":"Pace University","ror":"https://ror.org/047p7y759","country_code":"US","type":"education","lineage":["https://openalex.org/I126863827"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Clive Lewis","raw_affiliation_strings":["Pace University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0009-0000-7899-5026","affiliations":[{"raw_affiliation_string":"Pace University, New York, NY, USA","institution_ids":["https://openalex.org/I126863827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120395640","display_name":"Tarun Ramapuram","orcid":"https://orcid.org/0009-0001-8447-1461"},"institutions":[{"id":"https://openalex.org/I126863827","display_name":"Pace University","ror":"https://ror.org/047p7y759","country_code":"US","type":"education","lineage":["https://openalex.org/I126863827"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarun Ramapuram","raw_affiliation_strings":["Pace University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0009-0001-8447-1461","affiliations":[{"raw_affiliation_string":"Pace University, New York, NY, USA","institution_ids":["https://openalex.org/I126863827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020469612","display_name":"Juan Shan","orcid":"https://orcid.org/0000-0002-2718-3164"},"institutions":[{"id":"https://openalex.org/I126863827","display_name":"Pace University","ror":"https://ror.org/047p7y759","country_code":"US","type":"education","lineage":["https://openalex.org/I126863827"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Shan","raw_affiliation_strings":["Pace University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-2718-3164","affiliations":[{"raw_affiliation_string":"Pace University, New York, NY, USA","institution_ids":["https://openalex.org/I126863827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111558829"],"corresponding_institution_ids":["https://openalex.org/I126863827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46721859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"488","last_page":"489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.8163999915122986,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.8163999915122986,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.010900000110268593,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.009999999776482582,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/osteoarthritis","display_name":"Osteoarthritis","score":0.7353000044822693},{"id":"https://openalex.org/keywords/tibia","display_name":"Tibia","score":0.7179999947547913},{"id":"https://openalex.org/keywords/femur","display_name":"Femur","score":0.5442000031471252},{"id":"https://openalex.org/keywords/knee-cartilage","display_name":"Knee cartilage","score":0.46619999408721924},{"id":"https://openalex.org/keywords/knee-joint","display_name":"Knee Joint","score":0.46459999680519104},{"id":"https://openalex.org/keywords/cartilage","display_name":"Cartilage","score":0.4627000093460083},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4424000084400177}],"concepts":[{"id":"https://openalex.org/C2776164576","wikidata":"https://www.wikidata.org/wiki/Q62736","display_name":"Osteoarthritis","level":3,"score":0.7353000044822693},{"id":"https://openalex.org/C2777236700","wikidata":"https://www.wikidata.org/wiki/Q178366","display_name":"Tibia","level":2,"score":0.7179999947547913},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5708000063896179},{"id":"https://openalex.org/C2780554211","wikidata":"https://www.wikidata.org/wiki/Q176503","display_name":"Femur","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C3018143345","wikidata":"https://www.wikidata.org/wiki/Q37425","display_name":"Knee cartilage","level":5,"score":0.46619999408721924},{"id":"https://openalex.org/C2908736133","wikidata":"https://www.wikidata.org/wiki/Q37425","display_name":"Knee Joint","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C2780550940","wikidata":"https://www.wikidata.org/wiki/Q502730","display_name":"Cartilage","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4514999985694885},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4424000084400177},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.3472000062465668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32280001044273376},{"id":"https://openalex.org/C3020332539","wikidata":"https://www.wikidata.org/wiki/Q2014564","display_name":"Articular cartilage","level":4,"score":0.30489999055862427},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.302700012922287},{"id":"https://openalex.org/C3017936162","wikidata":"https://www.wikidata.org/wiki/Q917206","display_name":"Distance running","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C2779279471","wikidata":"https://www.wikidata.org/wiki/Q6421876","display_name":"Knee pain","level":4,"score":0.2732999920845032},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3721201.3725508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721201.3725508","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721201.3725508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3721201.3725508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721201.3725508","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721201.3725508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416144374.pdf","grobid_xml":"https://content.openalex.org/works/W4416144374.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4205209997"],"related_works":[],"abstract_inverted_index":{"Knee":[0],"osteoarthritis":[1],"(OA)":[2],"is":[3,24,117],"one":[4],"of":[5,36,107,185,190],"the":[6,12,19,37,51,71,81,85,99,111,156,160,169,179,193,201],"most":[7],"prevalent":[8],"chronic":[9],"diseases":[10],"in":[11,55,173],"United":[13],"States.":[14],"The":[15,102,163],"cartilage":[16,62],"thickness":[17,63],"between":[18,50],"femur":[20,52],"and":[21,53,127,144,187],"tibia":[22,54],"bones":[23],"a":[25,76,223],"critical":[26],"biomarker":[27],"to":[28,42,61,79,95,154,216],"diagnose":[29,217],"knee":[30,56,65,116,211,218],"OA":[31,66,126,219],"from":[32,84,98,110,210],"screening":[33],"medical":[34],"images":[35],"knee.":[38,131],"This":[39],"work":[40],"aims":[41],"study":[43],"an":[44,59,182,188],"alternative":[45,60],"feature,":[46],"i.e.,":[47],"bone":[48,82],"distance":[49,90,161,171],"MRI,":[57],"as":[58,119],"for":[64],"detection.":[67],"To":[68],"accurately":[69],"measure":[70],"distance,":[72],"we":[73],"first":[74],"apply":[75],"U-Net":[77],"model":[78],"segment":[80],"regions":[83,177],"3D":[86,105],"MRI":[87,212],"images.":[88,101],"Different":[89],"measurement":[91],"algorithms":[92],"are":[93,195],"proposed":[94],"extract":[96],"features":[97,172,209],"segmented":[100],"dataset":[103],"contains":[104],"MRIs":[106],"195":[108],"knees":[109],"public":[112],"OAI":[113],"database.":[114],"Each":[115],"labeled":[118],"positive":[120,124],"or":[121],"negative,":[122],"where":[123],"means":[125,129],"negative":[128],"healthy":[130],"Multiple":[132],"machine":[133],"learning":[134],"models":[135],"(Support":[136],"Vector":[137],"Machine,":[138],"Multilayer":[139],"Perceptron's,":[140],"Random":[141],"Forest,":[142],"LightGBM,":[143],"Residual":[145],"Neural":[146,225],"Network":[147,226],"with":[148,181,222,227],"Attention":[149,228],"Block":[150],"(RNNAB)":[151],"were":[152],"trained":[153],"perform":[155],"classification":[157],"task":[158],"using":[159,168],"features.":[162],"best":[164],"performance":[165],"was":[166],"achieved":[167],"average":[170],"three":[174],"equally":[175],"divided":[176],"plus":[178],"RNNAB,":[180],"F1":[183],"score":[184],"76%":[186],"AUC":[189],"0.76.":[191],"All":[192],"results":[194,205],"averaged":[196],"over":[197],"10-fold":[198],"cross-validation":[199],"on":[200],"whole":[202],"dataset.":[203],"Experiment":[204],"show":[206],"that":[207],"distance-based":[208],"have":[213],"good":[214],"potential":[215],"when":[220],"coupled":[221],"Residue":[224],"Block.":[229]},"counts_by_year":[],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2025-11-12T00:00:00"}