{"id":"https://openalex.org/W3135866074","doi":"https://doi.org/10.1109/dicta51227.2020.9363408","title":"Multitask Learning for Video-based Surgical Skill Assessment","display_name":"Multitask Learning for Video-based Surgical Skill Assessment","publication_year":2020,"publication_date":"2020-11-29","ids":{"openalex":"https://openalex.org/W3135866074","doi":"https://doi.org/10.1109/dicta51227.2020.9363408","mag":"3135866074"},"language":"en","primary_location":{"id":"doi:10.1109/dicta51227.2020.9363408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090810638","display_name":"Zhiteng Jian","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhiteng Jian","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025890485","display_name":"Wenxi Yue","orcid":"https://orcid.org/0000-0002-8270-417X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenxi Yue","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064063888","display_name":"Qiuxia Wu","orcid":"https://orcid.org/0000-0002-2284-7806"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuxia Wu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318368","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1144-518X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443935","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0002-8043-0312"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhiyong Wang","raw_affiliation_strings":["School of Computer Science, University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034793140","display_name":"Vincent Lam","orcid":"https://orcid.org/0000-0001-5566-4769"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Vincent Lam","raw_affiliation_strings":["Department of Clinical Medicine, Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Medicine, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5090810638"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":1.2268,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80747807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9994999766349792,"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/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11984","display_name":"Anatomy and Medical Technology","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8239247798919678},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.668494701385498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6281359195709229},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6151727437973022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5779904127120972},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5062457919120789},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47128596901893616},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4545232355594635},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4335966110229492},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.39013564586639404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8239247798919678},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.668494701385498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6281359195709229},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6151727437973022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5779904127120972},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5062457919120789},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47128596901893616},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4545232355594635},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4335966110229492},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.39013564586639404},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta51227.2020.9363408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1197075360","https://openalex.org/W1953678742","https://openalex.org/W2081433674","https://openalex.org/W2109498513","https://openalex.org/W2222269984","https://openalex.org/W2398889210","https://openalex.org/W2507009361","https://openalex.org/W2507183669","https://openalex.org/W2550143307","https://openalex.org/W2568518337","https://openalex.org/W2594473568","https://openalex.org/W2615856311","https://openalex.org/W2618650101","https://openalex.org/W2619947201","https://openalex.org/W2729979096","https://openalex.org/W2732917117","https://openalex.org/W2752782242","https://openalex.org/W2796214461","https://openalex.org/W2807902000","https://openalex.org/W2900726881","https://openalex.org/W2937745716","https://openalex.org/W2945292029","https://openalex.org/W2951058133","https://openalex.org/W2963139324","https://openalex.org/W2963420686","https://openalex.org/W2963524571","https://openalex.org/W2963647178","https://openalex.org/W2963840672","https://openalex.org/W2963867213","https://openalex.org/W2964446959","https://openalex.org/W2979726199","https://openalex.org/W2996856264","https://openalex.org/W3099358007","https://openalex.org/W3103878770","https://openalex.org/W3104144143","https://openalex.org/W3105393320","https://openalex.org/W6627839791","https://openalex.org/W6641005062","https://openalex.org/W6676553695","https://openalex.org/W6696085341","https://openalex.org/W6712920674","https://openalex.org/W6729280921","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2069592018","https://openalex.org/W2372254676","https://openalex.org/W2075740387","https://openalex.org/W2793679056","https://openalex.org/W2358990940","https://openalex.org/W2080135837","https://openalex.org/W1941834444"],"abstract_inverted_index":{"Surgical":[0],"skill":[1,52,56,62,103,180,219],"assessment":[2,53,181],"(SSA)":[3],"plays":[4],"a":[5,89,95,175,191],"vital":[6],"role":[7],"in":[8,88],"medical":[9],"systems":[10],"for":[11,50,117,125,133],"reducing":[12],"intraoperative":[13],"surgical":[14,176],"errors":[15],"and":[16,23,64,106,128,158,164,221],"improving":[17],"clinical":[18],"outcomes.":[19],"To":[20],"ensure":[21],"objective":[22],"efficient":[24],"SSA,":[25],"many":[26],"automatic":[27],"video-based":[28],"SSA":[29],"methods":[30,39],"have":[31,40],"been":[32,41],"developed.":[33],"In":[34,91,168],"particular,":[35],"various":[36,51],"deep":[37],"learning":[38,99],"devised":[42],"recently":[43],"by":[44],"utilising":[45],"CNN":[46],"or":[47],"RNN-based":[48],"networks":[49],"tasks":[54,79,147],"(e.g.,":[55],"level":[57,104],"prediction).":[58],"While":[59],"predicting":[60],"overall":[61],"levels":[63],"assessing":[65],"detailed":[66],"attribute-based":[67],"scores":[68],"are":[69],"highly":[70],"correlated,":[71],"most":[72],"existing":[73,186],"studies":[74],"deal":[75],"with":[76,190],"these":[77],"two":[78,115,119],"separately,":[80],"without":[81],"fully":[82],"exploiting":[83],"different":[84,130,156],"information":[85,154],"sources":[86],"encoded":[87],"dataset.":[90],"contrast,":[92],"we":[93,183],"propose":[94],"novel":[96,192],"end-to-end":[97],"multitask":[98],"framework":[100],"to":[101,152,161,179,198],"conduct":[102],"classification":[105,220],"attribute":[107],"score":[108,222],"regression":[109,223],"jointly.":[110],"Specifically,":[111],"our":[112,211],"network":[113,213],"incorporates":[114],"branches":[116],"the":[118,143,150,205],"tasks,":[120],"which":[121],"share":[122],"earlier":[123],"layers":[124,132],"feature":[126,138,187],"extraction":[127],"hold":[129],"prediction":[131],"specific":[134],"targets.":[135],"The":[136],"shared":[137],"extractor":[139,188],"is":[140],"optimised":[141],"under":[142],"supervision":[144],"of":[145,174],"both":[146,218],"simultaneously,":[148],"encouraging":[149],"model":[151],"consider":[153],"from":[155],"aspects":[157],"their":[159],"relatedness":[160],"learn":[162],"richer":[163],"more":[165],"generalised":[166],"features.":[167,201],"addition,":[169],"since":[170],"not":[171],"every":[172],"part":[173],"video":[177],"contributes":[178],"equally,":[182],"enhance":[184],"an":[185],"I3D":[189],"Spatio-Temporal":[193],"&":[194],"Channel":[195],"Attention":[196],"Module":[197],"emphasize":[199],"important":[200],"Experimental":[202],"results":[203],"on":[204,217],"public":[206],"dataset":[207],"JIGSAWS":[208],"show":[209],"that":[210],"proposed":[212],"outperforms":[214],"state-of-the-art":[215],"models":[216],"tasks.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}