{"id":"https://openalex.org/W4389164299","doi":"https://doi.org/10.1109/access.2023.3338379","title":"3D Efficient Multi-Task Neural Network for Knee Osteoarthritis Diagnosis Using MRI Scans: Data From the Osteoarthritis Initiative","display_name":"3D Efficient Multi-Task Neural Network for Knee Osteoarthritis Diagnosis Using MRI Scans: Data From the Osteoarthritis Initiative","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389164299","doi":"https://doi.org/10.1109/access.2023.3338379"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3338379","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3338379","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10336807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10336807.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010585047","display_name":"Pauline Shan Qing Yeoh","orcid":"https://orcid.org/0000-0003-3643-4479"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Pauline Shan Qing Yeoh","raw_affiliation_strings":["Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038282985","display_name":"Siew Li Goh","orcid":"https://orcid.org/0000-0001-5898-1196"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siew Li Goh","raw_affiliation_strings":["Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060450772","display_name":"Khairunnisa Hasikin\u202c","orcid":"https://orcid.org/0000-0002-0471-3820"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Khairunnisa Hasikin","raw_affiliation_strings":["Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-0471-3820","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091170889","display_name":"Xiang Wu","orcid":"https://orcid.org/0000-0001-5190-9781"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wu","raw_affiliation_strings":["School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China","School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou City, Jiangsu Prov, China"],"raw_orcid":"https://orcid.org/0000-0001-5190-9781","affiliations":[{"raw_affiliation_string":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]},{"raw_affiliation_string":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou City, Jiangsu Prov, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084900407","display_name":"Khin Wee Lai","orcid":"https://orcid.org/0000-0002-8602-0533"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Khin Wee Lai","raw_affiliation_strings":["Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-8602-0533","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010585047"],"corresponding_institution_ids":["https://openalex.org/I33849332"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2954,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.9367652,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"135323","last_page":"135333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.9958999752998352,"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":0.983299970626831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7648619413375854},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6529229283332825},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6480109691619873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6384400129318237},{"id":"https://openalex.org/keywords/osteoarthritis","display_name":"Osteoarthritis","score":0.629094123840332},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.49271538853645325},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4832247197628021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46423783898353577},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46211838722229004},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45753955841064453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4277295768260956},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4271544814109802},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4247242212295532},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1395476758480072},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08092904090881348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7648619413375854},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6529229283332825},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6480109691619873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6384400129318237},{"id":"https://openalex.org/C2776164576","wikidata":"https://www.wikidata.org/wiki/Q62736","display_name":"Osteoarthritis","level":3,"score":0.629094123840332},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.49271538853645325},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4832247197628021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46423783898353577},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46211838722229004},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45753955841064453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4277295768260956},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4271544814109802},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4247242212295532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1395476758480072},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08092904090881348},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3338379","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3338379","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10336807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a94e8a823a15416db947cf6deb1389a0","is_oa":true,"landing_page_url":"https://doaj.org/article/a94e8a823a15416db947cf6deb1389a0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 135323-135333 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3338379","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3338379","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10336807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389164299.pdf","grobid_xml":"https://content.openalex.org/works/W4389164299.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2464708700","https://openalex.org/W2549139847","https://openalex.org/W2803537647","https://openalex.org/W2897451575","https://openalex.org/W2897454585","https://openalex.org/W2962914239","https://openalex.org/W2963125010","https://openalex.org/W2963446712","https://openalex.org/W3005413869","https://openalex.org/W3014500057","https://openalex.org/W3103370327","https://openalex.org/W3106904274","https://openalex.org/W3110866571","https://openalex.org/W3122532105","https://openalex.org/W3154518180","https://openalex.org/W3161718150","https://openalex.org/W3163368065","https://openalex.org/W3213209526","https://openalex.org/W3214307061","https://openalex.org/W4205917246","https://openalex.org/W4213284195","https://openalex.org/W4213418123","https://openalex.org/W4220867400","https://openalex.org/W4283832242","https://openalex.org/W4297775537","https://openalex.org/W4319985404","https://openalex.org/W4362654028","https://openalex.org/W4365455479","https://openalex.org/W6737664043","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W650762618","https://openalex.org/W2579996474","https://openalex.org/W4386590483","https://openalex.org/W4242815383","https://openalex.org/W2169904250","https://openalex.org/W4388075929","https://openalex.org/W1902427662","https://openalex.org/W2346491184","https://openalex.org/W2491935629","https://openalex.org/W4323287533"],"abstract_inverted_index":{"Deep":[0],"learning,":[1],"particularly":[2],"Convolutional":[3],"Neural":[4],"Networks,":[5],"has":[6],"demonstrated":[7],"effectiveness":[8],"in":[9,24,49,207,217],"computer-aided":[10],"diagnosis":[11],"applications,":[12],"including":[13],"knee":[14,50,80,84,201],"osteoarthritis":[15,51,85,205],"analysis.":[16],"Two":[17],"of":[18,38,89,109,131,169,177,192,220],"the":[19,28,36,61,90,116,120,129,136,212,218],"most":[20],"common":[21],"tasks":[22,164],"done":[23],"medical":[25,221,228],"imaging":[26,229],"are":[27,75],"segmentation":[29,64,132,174,203],"and":[30,65,73,82,99,151,171,187,204],"classification":[31,66,137,163,206],"tasks.":[32],"This":[33],"research":[34],"investigates":[35],"feasibility":[37],"multi-task":[39,70,91,126,142],"models":[40,92,98,105,216],"for":[41,155,162,214],"volumetric":[42],"analysis":[43],"using":[44,106],"Magnetic":[45],"Resonance":[46],"Imaging":[47],"scans":[48],"diagnosis,":[52],"while":[53,114],"considering":[54],"computational":[55,117,185],"efficiency.":[56],"In":[57],"order":[58],"to":[59,77,134],"leverage":[60],"correlation":[62],"between":[63,184],"tasks,":[67],"two":[68],"3D":[69,208,227],"models,":[71],"OA_MTL":[72,139,158,179],"RES_MTL":[74],"developed":[76],"simultaneously":[78,199],"segment":[79],"structures":[81],"classify":[83],"incidence.":[86],"The":[87,190],"performance":[88,112,161],"is":[93,140],"evaluated":[94],"against":[95],"single-task":[96],"baseline":[97],"other":[100],"existing":[101],"convolutional":[102],"neural":[103],"network":[104],"a":[107,141,172,181],"total":[108],"eight":[110],"different":[111],"metrics,":[113],"comparing":[115],"complexity":[118,186],"among":[119],"models.":[121],"Experimental":[122],"results":[123],"demonstrate":[124],"that":[125,144,198],"model":[127,143,188],"leverages":[128],"information":[130],"task":[133],"improve":[135],"performance.":[138,157,189],"incorporates":[145],"an":[146,166,196],"encoder-decoder":[147],"architecture,":[148],"residual":[149],"modules,":[150],"depthwise":[152],"separable":[153],"convolutions":[154],"enhanced":[156],"achieves":[159,180],"superior":[160],"with":[165],"accuracy":[167],"score":[168,176],"0.825,":[170],"comparable":[173],"DSC":[175],"0.915.":[178],"favorable":[182],"trade-off":[183],"contribution":[191],"this":[193],"work":[194],"includes":[195],"approach":[197],"performs":[200],"structure":[202],"MRI,":[209],"which":[210],"addresses":[211],"need":[213],"efficient":[215],"field":[219],"imaging,":[222],"specifically":[223],"on":[224],"computationally":[225],"challenging":[226],"applications.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}