{"id":"https://openalex.org/W4407262518","doi":"https://doi.org/10.1007/978-3-031-82007-6_16","title":"Quantifying Knee Cartilage Shape and\u00a0Lesion: From Image to\u00a0Metrics","display_name":"Quantifying Knee Cartilage Shape and\u00a0Lesion: From Image to\u00a0Metrics","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407262518","doi":"https://doi.org/10.1007/978-3-031-82007-6_16"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-82007-6_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-82007-6_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-031-82007-6_16","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078341013","display_name":"Yongcheng Yao","orcid":"https://orcid.org/0000-0003-2754-3649"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yongcheng Yao","raw_affiliation_strings":["UKRI CDT in Biomedical AI, School of Informatics, The University of Edinburgh, Edinburgh, UK"],"raw_orcid":"https://orcid.org/0000-0003-2754-3649","affiliations":[{"raw_affiliation_string":"UKRI CDT in Biomedical AI, School of Informatics, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013602825","display_name":"Weitian Chen","orcid":"https://orcid.org/0000-0001-7242-9285"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weitian Chen","raw_affiliation_strings":["CU Lab of AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7242-9285","affiliations":[{"raw_affiliation_string":"CU Lab of AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078341013"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.9853000044822693,"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":0.9853000044822693,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9649999737739563,"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/computer-science","display_name":"Computer science","score":0.80184006690979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5300816297531128},{"id":"https://openalex.org/keywords/cartilage","display_name":"Cartilage","score":0.5127054452896118},{"id":"https://openalex.org/keywords/knee-cartilage","display_name":"Knee cartilage","score":0.5096461772918701},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.47401246428489685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4583863615989685},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4136075973510742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3759838938713074},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.28530701994895935},{"id":"https://openalex.org/keywords/osteoarthritis","display_name":"Osteoarthritis","score":0.21951636672019958},{"id":"https://openalex.org/keywords/articular-cartilage","display_name":"Articular cartilage","score":0.20411887764930725},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15705245733261108},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.13701370358467102},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12541329860687256}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80184006690979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5300816297531128},{"id":"https://openalex.org/C2780550940","wikidata":"https://www.wikidata.org/wiki/Q502730","display_name":"Cartilage","level":2,"score":0.5127054452896118},{"id":"https://openalex.org/C3018143345","wikidata":"https://www.wikidata.org/wiki/Q37425","display_name":"Knee cartilage","level":5,"score":0.5096461772918701},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.47401246428489685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4583863615989685},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4136075973510742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3759838938713074},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.28530701994895935},{"id":"https://openalex.org/C2776164576","wikidata":"https://www.wikidata.org/wiki/Q62736","display_name":"Osteoarthritis","level":3,"score":0.21951636672019958},{"id":"https://openalex.org/C3020332539","wikidata":"https://www.wikidata.org/wiki/Q2014564","display_name":"Articular cartilage","level":4,"score":0.20411887764930725},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15705245733261108},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.13701370358467102},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12541329860687256},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-82007-6_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-82007-6_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-82007-6_16","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-82007-6_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.41999998688697815,"display_name":"Zero hunger"},{"id":"https://metadata.un.org/sdg/5","score":0.4099999964237213,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1937810035","https://openalex.org/W2101679106","https://openalex.org/W2128650484","https://openalex.org/W2171406226","https://openalex.org/W2590311317","https://openalex.org/W2595460130","https://openalex.org/W2737373222","https://openalex.org/W2803537647","https://openalex.org/W2891631795","https://openalex.org/W2963720324","https://openalex.org/W2979378912","https://openalex.org/W2992133468","https://openalex.org/W3014205638","https://openalex.org/W3014974815","https://openalex.org/W3092446792","https://openalex.org/W3112701542","https://openalex.org/W3183909458","https://openalex.org/W4226524654","https://openalex.org/W4283079435","https://openalex.org/W4283320645","https://openalex.org/W4306914348","https://openalex.org/W4313070140","https://openalex.org/W4321770511","https://openalex.org/W4388682673","https://openalex.org/W4391109864","https://openalex.org/W4391707120"],"related_works":["https://openalex.org/W4379600973","https://openalex.org/W2316526580","https://openalex.org/W2105653210","https://openalex.org/W1537974871","https://openalex.org/W242273402","https://openalex.org/W2320070317","https://openalex.org/W4220702813","https://openalex.org/W1903477488","https://openalex.org/W3161175208","https://openalex.org/W2086168607"],"abstract_inverted_index":{"Imaging":[0],"features":[1],"of":[2,114],"knee":[3,15,60],"articular":[4],"cartilage":[5,61,115,120],"have":[6],"been":[7],"shown":[8],"to":[9,98],"be":[10],"potential":[11],"imaging":[12,45],"biomarkers":[13],"for":[14,44,59,111,130],"osteoarthritis.":[16],"Despite":[17],"recent":[18],"methodological":[19],"advancements":[20],"in":[21,89],"image":[22,26,31,56,132],"analysis":[23,57,133],"techniques":[24],"like":[25],"segmentation,":[27],"registration,":[28],"and":[29,73,85,117,134,139],"domain-specific":[30],"computing":[32],"algorithms,":[33],"only":[34],"a":[35,53,68,126],"few":[36],"works":[37],"focus":[38],"on":[39],"building":[40],"fully":[41],"automated":[42,109],"pipelines":[43],"feature":[46],"extraction.":[47],"In":[48],"this":[49],"study,":[50],"we":[51],"developed":[52],"deep-learning-based":[54],"medical":[55,131],"application":[58],"morphometrics,":[62],"CartiMorph":[63],"Toolbox":[64],"(CMT).":[65],"We":[66,77,102],"proposed":[67,105],"2-stage":[69],"joint":[70],"template":[71],"learning":[72],"registration":[74],"network,":[75],"CMT-reg.":[76],"trained":[78],"the":[79,82,104,112],"model":[80,106],"using":[81],"OAI-ZIB":[83],"dataset":[84],"assessed":[86],"its":[87],"performance":[88],"template-to-image":[90],"registration.":[91],"The":[92,123,137],"CMT-reg":[93],"demonstrated":[94],"competitive":[95],"results":[96],"compared":[97],"other":[99],"state-of-the-art":[100],"models.":[101],"integrated":[103],"into":[107],"an":[108],"pipeline":[110],"quantification":[113],"shape":[116],"lesion":[118],"(full-thickness":[119],"loss,":[121],"specifically).":[122],"toolbox":[124],"provides":[125],"comprehensive,":[127],"user-friendly":[128],"solution":[129],"data":[135],"visualization.":[136],"software":[138],"models":[140],"are":[141],"available":[142],"at":[143],"https://github.com/YongchengYAO/CMT-AMAI24paper":[144],".":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}