{"id":"https://openalex.org/W2978891769","doi":"https://doi.org/10.1109/ijcnn.2019.8852341","title":"Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation","display_name":"Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978891769","doi":"https://doi.org/10.1109/ijcnn.2019.8852341","mag":"2978891769"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5045903801","display_name":"Dayvid Castro","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Dayvid Castro","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, PE, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, PE, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003393450","display_name":"Danilo Pereira","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Danilo Pereira","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, PE, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, PE, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086345001","display_name":"Cleber Zanchettin","orcid":"https://orcid.org/0000-0001-6421-9747"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cleber Zanchettin","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, PE, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, PE, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021701067","display_name":"David Mac\u00eado","orcid":"https://orcid.org/0000-0002-2527-4548"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"David Macedo","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, PE, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, PE, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049490188","display_name":"Byron Leite Dantas Bezerra","orcid":"https://orcid.org/0000-0002-8327-9734"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Byron L. D. Bezerra","raw_affiliation_strings":["Escola Polit\u00e9cnica de Pernambuco, Universidade de Pernambuco, Recife, PE, Brazil"],"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco, Universidade de Pernambuco, Recife, PE, Brazil","institution_ids":["https://openalex.org/I71437568"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045903801"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":1.5263,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82690107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11984","display_name":"Anatomy and Medical Technology","score":0.996399998664856,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/pooling","display_name":"Pooling","score":0.8448874950408936},{"id":"https://openalex.org/keywords/checklist","display_name":"Checklist","score":0.7654188871383667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6598286628723145},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6259334683418274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597636342048645},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5823493003845215},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5554580688476562},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5128453373908997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46238580346107483},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42884624004364014},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.33096998929977417},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11188027262687683},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08771425485610962}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8448874950408936},{"id":"https://openalex.org/C2779356329","wikidata":"https://www.wikidata.org/wiki/Q922625","display_name":"Checklist","level":2,"score":0.7654188871383667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598286628723145},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6259334683418274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597636342048645},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5823493003845215},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5554580688476562},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5128453373908997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46238580346107483},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42884624004364014},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.33096998929977417},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11188027262687683},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08771425485610962},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1840106123","https://openalex.org/W2023276160","https://openalex.org/W2075374436","https://openalex.org/W2222269984","https://openalex.org/W2411773784","https://openalex.org/W2568518337","https://openalex.org/W2618650101","https://openalex.org/W2732917117","https://openalex.org/W2742448943","https://openalex.org/W2805586107","https://openalex.org/W2963139324","https://openalex.org/W2963230471","https://openalex.org/W2963285578","https://openalex.org/W2963454111","https://openalex.org/W2963919294","https://openalex.org/W3098915125","https://openalex.org/W6638444622","https://openalex.org/W6685562342","https://openalex.org/W6688902765","https://openalex.org/W6715215361","https://openalex.org/W6739879593","https://openalex.org/W6742772774"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2013796470","https://openalex.org/W2626256601","https://openalex.org/W2420514274","https://openalex.org/W2900413183","https://openalex.org/W4362687946","https://openalex.org/W147410782","https://openalex.org/W2902805979","https://openalex.org/W1971633942","https://openalex.org/W2810679507"],"abstract_inverted_index":{"In":[0],"medicine":[1],"courses,":[2],"improve":[3],"the":[4,14,18,21,30,34,62,73,89,92,104,132,137],"skills":[5],"of":[6,13,49,69,91,114,136],"surgery":[7],"students":[8],"is":[9,37,52,65],"an":[10,53],"essential":[11],"part":[12],"program.":[15],"For":[16],"training":[17],"surgeon":[19],"residents":[20],"institutions":[22],"normally":[23],"using":[24],"a":[25,78,97,127],"standard":[26],"checklist":[27,35,64],"to":[28,39,61],"evaluate":[29],"student":[31],"evolution.":[32],"However,":[33],"evaluation":[36,68],"susceptible":[38],"evaluator":[40],"bias,":[41],"inter-evaluator":[42],"variability,":[43],"besides":[44],"being":[45],"time-consuming.":[46],"The":[47,120],"automation":[48],"this":[50],"process":[51],"important":[54],"evolution":[55],"in":[56],"medical":[57],"training.":[58],"An":[59],"alternative":[60],"instructor":[63],"capturing":[66],"and":[67,96,106,118],"kinematic":[70],"data":[71],"regarding":[72],"surgical":[74,134],"motion.":[75],"We":[76,87],"propose":[77],"novel":[79],"CNN":[80],"architecture":[81],"for":[82],"automated":[83],"robot-assisted":[84],"skill":[85],"assessment.":[86],"explore":[88],"use":[90],"SELU":[93],"activation":[94],"function":[95],"global":[98],"mixed":[99],"pooling":[100],"approach":[101],"based":[102],"on":[103],"average":[105,129],"max-pooling":[107],"layers.":[108],"Finally,":[109],"we":[110],"examine":[111],"two":[112],"types":[113],"convolutional":[115],"layers:":[116],"real-value":[117],"quaternion-valued.":[119],"results":[121],"suggest":[122],"that":[123],"our":[124],"model":[125],"presents":[126],"higher":[128],"accuracy":[130],"across":[131],"three":[133],"subtasks":[135],"JIGSAWS":[138],"dataset.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
