{"id":"https://openalex.org/W6923529973","doi":"https://doi.org/10.14279/depositonce-19738","title":"Machine learning-based assessment of multiple anatomical structures in medical image data for diagnosis and prediction of knee osteoarthritis","display_name":"Machine learning-based assessment of multiple anatomical structures in medical image data for diagnosis and prediction of knee osteoarthritis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6923529973","doi":"https://doi.org/10.14279/depositonce-19738"},"language":"en","primary_location":{"id":"pmh:oai:depositonce.tu-berlin.de:11303/20940","is_oa":false,"landing_page_url":"https://depositonce.tu-berlin.de/handle/11303/20940","pdf_url":null,"source":{"id":"https://openalex.org/S4406922277","display_name":"DepositOnce","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.14279/depositonce-19738","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tack, Alexander","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tack, Alexander","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50683053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.35679998993873596,"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":0.35679998993873596,"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/T10562","display_name":"Total Knee Arthroplasty Outcomes","score":0.09149999916553497,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.06310000270605087,"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/landmark","display_name":"Landmark","score":0.6664000153541565},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6366999745368958},{"id":"https://openalex.org/keywords/osteoarthritis","display_name":"Osteoarthritis","score":0.6132000088691711},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5228000283241272},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4765999913215637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4602999985218048},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4146000146865845},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3560999929904938},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.35109999775886536}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.6664000153541565},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6366999745368958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6317999958992004},{"id":"https://openalex.org/C2776164576","wikidata":"https://www.wikidata.org/wiki/Q62736","display_name":"Osteoarthritis","level":3,"score":0.6132000088691711},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5228000283241272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48590001463890076},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4602999985218048},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4146000146865845},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40389999747276306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3930000066757202},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3183000087738037},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C2779279471","wikidata":"https://www.wikidata.org/wiki/Q6421876","display_name":"Knee pain","level":4,"score":0.2874000072479248},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C2908736133","wikidata":"https://www.wikidata.org/wiki/Q37425","display_name":"Knee Joint","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2596000134944916},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:depositonce.tu-berlin.de:11303/20940","is_oa":false,"landing_page_url":"https://depositonce.tu-berlin.de/handle/11303/20940","pdf_url":null,"source":{"id":"https://openalex.org/S4406922277","display_name":"DepositOnce","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},{"id":"doi:10.14279/depositonce-19738","is_oa":true,"landing_page_url":"https://doi.org/10.14279/depositonce-19738","pdf_url":null,"source":{"id":"https://openalex.org/S7407052985","display_name":"Technische Universit\u00e4t Berlin \u2013 Universit\u00e4tsbibliothek","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.14279/depositonce-19738","is_oa":true,"landing_page_url":"https://doi.org/10.14279/depositonce-19738","pdf_url":null,"source":{"id":"https://openalex.org/S7407052985","display_name":"Technische Universit\u00e4t Berlin \u2013 Universit\u00e4tsbibliothek","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"score":0.8077476620674133,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knee":[0],"osteoarthritis":[1],"(KOA)":[2],"is":[3,16,26,36,56,69,223,291],"a":[4,79,87,98,138,166],"degenerative":[5],"disease":[6,171,243,272],"that":[7,225,292],"leads":[8],"to":[9,18,136,174,192,252,257,319],"pain":[10],"and":[11,25,48,72,81,85,121,149,173,178,186,198,213,239,268,281,306],"loss":[12],"of":[13,28,90,93,103,110,117,126,131,141,160,169,202,206,210,215,242,263,265,270,277,283,288,298,308,323,331],"function.":[14],"It":[15],"estimated":[17],"affect":[19],"over":[20],"500":[21],"million":[22],"humans":[23],"world-wide":[24],"one":[27],"the":[29,91,111,115,170,246,253,324,329],"most":[30,259],"common":[31],"reasons":[32],"for":[33,78,86,107,158,165,200,230,304],"disability.":[34],"KOA":[35,105,203,207,211,266,279,309],"usually":[37],"diagnosed":[38],"by":[39,44,49,195],"radiologists":[40],"or":[41,61,327],"clinical":[42,196,335],"experts":[43,197],"anamnesis,":[45],"physical":[46],"examination,":[47],"assessing":[50],"medical":[51,161,232,299],"image":[52,67,162,233,247,300],"data.":[53,248],"The":[54,180,286],"latter":[55],"typically":[57],"acquired":[58,194],"using":[59],"X-Ray":[60],"magnetic":[62],"resonance":[63],"imaging.":[64],"Since":[65],"manual":[66],"reading":[68],"subjective,":[70],"tedious":[71],"time-consuming,":[73],"automated":[74,101,296],"methods":[75,146,227],"are":[76,147,156,189,228,255],"required":[77],"fast":[80],"objective":[82],"decision":[83],"support":[84],"better":[88],"understanding":[89],"pathogenesis":[92],"KOA.":[94],"This":[95,113],"thesis":[96,290],"sets":[97],"foundation":[99],"towards":[100],"computation":[102],"image-based":[104],"biomarkers":[106],"holistic":[108],"assessment":[109,116,125,322],"knee.":[112],"involves":[114],"multiple":[118],"knee":[119,217,326],"bones":[120],"soft":[122],"tissues.":[123,133],"An":[124],"particular":[127],"structures":[128,177],"requires":[129],"localization":[130,140],"these":[132],"In":[134,219],"order":[135,318],"automate":[137],"faithful":[139],"anatomical":[142,176,183],"structures,":[143],"deep":[144],"learning-based":[145],"investigated":[148],"utilized.":[150],"Additionally,":[151],"convolutional":[152],"neural":[153],"networks":[154],"(CNNs)":[155],"used":[157],"classification":[159,205,241],"data,":[163],"i.e.,":[164],"direct":[167,240],"determination":[168],"status":[172],"detect":[175],"landmarks.":[179],"automatically":[181],"computed":[182],"volumes,":[184],"locations,":[185],"other":[187],"measurements":[188],"finally":[190],"compared":[191],"values":[193],"evaluated":[199],"clustering":[201,264],"groups,":[204],"severity,":[208],"prediction":[209,214,282,307],"progression,":[212],"total":[216],"replacement.":[218],"various":[220],"experiments":[221],"it":[222],"shown":[224],"CNN-based":[226],"suitable":[229],"accurate":[231],"segmentation,":[234],"object":[235],"detection,":[236,238],"landmark":[237],"stages":[244],"from":[245],"Computed":[249],"features":[250,316],"related":[251],"menisci":[254],"found":[256],"be":[258],"expressive":[260],"in":[261,317,334],"terms":[262],"groups":[267],"predicting":[269],"future":[271,284],"states,":[273],"thus":[274],"allowing":[275],"diagnosis":[276,305],"current":[278],"conditions":[280],"conditions.":[285],"conclusion":[287],"this":[289,332],"machine":[293],"learning-based,":[294],"fully":[295],"processing":[297],"data":[301],"shows":[302],"potential":[303],"grades.":[310],"Future":[311],"studies":[312],"could":[313],"investigate":[314],"additional":[315],"achieve":[320],"an":[321],"whole":[325],"validate":[328],"findings":[330],"work":[333],"studies.":[336]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}