{"id":"https://openalex.org/W2785737326","doi":"https://doi.org/10.1109/tmi.2018.2878055","title":"RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations","display_name":"RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations","publication_year":2018,"publication_date":"2018-10-25","ids":{"openalex":"https://openalex.org/W2785737326","doi":"https://doi.org/10.1109/tmi.2018.2878055","mag":"2785737326","pmid":"https://pubmed.ncbi.nlm.nih.gov/30371356"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2018.2878055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2878055","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1802.03243","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050775022","display_name":"Andru Putra Twinanda","orcid":"https://orcid.org/0000-0003-4536-023X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andru Putra Twinanda","raw_affiliation_strings":["ICube, University of Strasbourg, CNRS, IHU Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0003-4536-023X","affiliations":[{"raw_affiliation_string":"ICube, University of Strasbourg, CNRS, IHU Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I68947357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040194824","display_name":"Gaurav Yengera","orcid":"https://orcid.org/0000-0003-0691-3399"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gaurav Yengera","raw_affiliation_strings":["ICube, University of Strasbourg, CNRS, IHU Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0003-0691-3399","affiliations":[{"raw_affiliation_string":"ICube, University of Strasbourg, CNRS, IHU Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I68947357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081252567","display_name":"Didier Mutter","orcid":"https://orcid.org/0000-0002-7559-3328"},"institutions":[{"id":"https://openalex.org/I4210109354","display_name":"Institut de Recherche contre les Cancers de l\u2019Appareil Digestif","ror":"https://ror.org/01xyqts46","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210109354"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Didier Mutter","raw_affiliation_strings":["University Hospital of Strasbourg, IRCAD, IHU Strasbourg, Strasbourg, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Hospital of Strasbourg, IRCAD, IHU Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I4210109354","https://openalex.org/I68947357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015981897","display_name":"Jacques Marescaux","orcid":"https://orcid.org/0000-0002-1400-6230"},"institutions":[{"id":"https://openalex.org/I4210109354","display_name":"Institut de Recherche contre les Cancers de l\u2019Appareil Digestif","ror":"https://ror.org/01xyqts46","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210109354"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jacques Marescaux","raw_affiliation_strings":["University Hospital of Strasbourg, IRCAD, IHU Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0002-1400-6230","affiliations":[{"raw_affiliation_string":"University Hospital of Strasbourg, IRCAD, IHU Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I4210109354","https://openalex.org/I68947357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071976104","display_name":"Nicolas Padoy","orcid":"https://orcid.org/0000-0002-5010-4137"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Padoy","raw_affiliation_strings":["ICube, University of Strasbourg, CNRS, IHU Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0002-5010-4137","affiliations":[{"raw_affiliation_string":"ICube, University of Strasbourg, CNRS, IHU Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I68947357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.5029,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.98711811,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"38","issue":"4","first_page":"1069","last_page":"1078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9973999857902527,"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":0.9973999857902527,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10335","display_name":"Colorectal Cancer Surgical Treatments","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/duration","display_name":"Duration (music)","score":0.6998319029808044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6843721866607666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6078938841819763},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5855631828308105},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5744276642799377},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5453521609306335},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5127159357070923},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5114816427230835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.508225679397583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46577188372612},{"id":"https://openalex.org/keywords/laparoscopic-surgery","display_name":"Laparoscopic surgery","score":0.4152878522872925},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.2184133231639862},{"id":"https://openalex.org/keywords/laparoscopy","display_name":"Laparoscopy","score":0.20508280396461487},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18779322504997253}],"concepts":[{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.6998319029808044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843721866607666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6078938841819763},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5855631828308105},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5744276642799377},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5453521609306335},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5127159357070923},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5114816427230835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.508225679397583},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46577188372612},{"id":"https://openalex.org/C2776111594","wikidata":"https://www.wikidata.org/wiki/Q675754","display_name":"Laparoscopic surgery","level":3,"score":0.4152878522872925},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.2184133231639862},{"id":"https://openalex.org/C2780047204","wikidata":"https://www.wikidata.org/wiki/Q675754","display_name":"Laparoscopy","level":2,"score":0.20508280396461487},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18779322504997253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001026","descriptor_name":"Coronary Artery Bypass","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001026","descriptor_name":"Coronary Artery Bypass","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001026","descriptor_name":"Coronary Artery Bypass","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002763","descriptor_name":"Cholecystectomy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002763","descriptor_name":"Cholecystectomy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002763","descriptor_name":"Cholecystectomy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010535","descriptor_name":"Laparoscopy","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010535","descriptor_name":"Laparoscopy","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010535","descriptor_name":"Laparoscopy","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D061646","descriptor_name":"Operative Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061646","descriptor_name":"Operative Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061646","descriptor_name":"Operative Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2018.2878055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2878055","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:30371356","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30371356","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:1802.03243","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.03243","pdf_url":"https://arxiv.org/pdf/1802.03243","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-05473177v1","is_oa":false,"landing_page_url":"https://univoak.hal.science/hal-05473177","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging, 2019, 38 (4), &#x27E8;10.1109/TMI.2018.2878055&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1802.03243","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.03243","pdf_url":"https://arxiv.org/pdf/1802.03243","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1536759560","display_name":null,"funder_award_id":"ANR-10-IAHU-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G1801824165","display_name":"Gestes M\u00e9dico-Chirurgicaux Assist\u00e9s par Ordinateur","funder_award_id":"ANR-11-LABX-0004","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W197520142","https://openalex.org/W801243373","https://openalex.org/W1536680647","https://openalex.org/W1561175540","https://openalex.org/W1572533718","https://openalex.org/W1951216520","https://openalex.org/W1984256108","https://openalex.org/W1999459856","https://openalex.org/W2000012067","https://openalex.org/W2035545097","https://openalex.org/W2042752006","https://openalex.org/W2067148349","https://openalex.org/W2125644018","https://openalex.org/W2194775991","https://openalex.org/W2266464013","https://openalex.org/W2518293683","https://openalex.org/W2593857377","https://openalex.org/W2610990652","https://openalex.org/W2751405240","https://openalex.org/W2790233912","https://openalex.org/W2804845319","https://openalex.org/W2951548327","https://openalex.org/W6608159607","https://openalex.org/W6634160493","https://openalex.org/W6640820311","https://openalex.org/W6734218720","https://openalex.org/W6736809608","https://openalex.org/W6751703357"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W3160494304","https://openalex.org/W3006162251"],"abstract_inverted_index":{"Accurate":[0],"surgery":[1,32,66],"duration":[2,33,67],"estimation":[3],"is":[4,97,123,149],"necessary":[5],"for":[6,82],"optimal":[7],"OR":[8],"planning,":[9],"which":[10,61],"plays":[11],"an":[12],"important":[13],"role":[14],"in":[15,107],"patient":[16,41],"comfort":[17],"and":[18,45,96,110,166,206],"safety":[19],"as":[20,22,59],"well":[21],"resource":[23],"optimization.":[24],"It":[25],"is,":[26],"however,":[27],"challenging":[28],"to":[29,58,139],"preoperatively":[30],"predict":[31],"since":[34],"it":[35,125,136],"varies":[36],"significantly":[37,180],"depending":[38],"on":[39,87,129,155],"the":[40,64,101,111,153,177,200,209],"condition,":[42],"surgeon":[43],"skills,":[44],"intraoperative":[46],"situation.":[47],"In":[48],"this":[49,193],"paper,":[50],"we":[51],"propose":[52],"a":[53,108,182,196],"deep":[54,201],"learning":[55,202],"pipeline,":[56],"referred":[57],"RSDNet,":[60],"automatically":[62,213],"estimates":[63],"remaining":[65],"(RSD)":[68],"intraoperatively":[69],"by":[70,151],"using":[71],"only":[72],"visual":[73],"information":[74],"from":[75],"laparoscopic":[76,115],"videos.":[77,170],"The":[78,144,171],"previous":[79],"state-of-the-art":[80],"approaches":[81],"RSD":[83,187],"prediction":[84],"are":[85,212],"dependent":[86],"manual":[88,131,190],"annotation,":[89],"whose":[90],"generation":[91],"requires":[92],"expensive":[93],"expert":[94],"knowledge":[95],"time-consuming,":[98],"especially":[99],"considering":[100],"numerous":[102],"types":[103,161],"of":[104,114,121,142,146,162,185,208],"surgeries":[105],"performed":[106],"hospital":[109],"large":[112,157],"number":[113],"videos":[116],"available.":[117],"A":[118],"crucial":[119],"feature":[120],"RSDNet":[122],"that":[124,176,211],"does":[126],"not":[127],"depend":[128],"any":[130],"annotation":[132],"during":[133],"training,":[134],"making":[135],"easily":[137],"scalable":[138],"many":[140],"kinds":[141],"surgeries.":[143],"generalizability":[145],"our":[147],"approach":[148],"demonstrated":[150],"testing":[152],"pipeline":[154],"two":[156],"datasets":[158],"containing":[159],"different":[160],"surgeries:":[163],"120":[164],"cholecystectomy":[165],"170":[167],"gastric":[168],"bypass":[169],"experimental":[172],"results":[173],"also":[174],"show":[175],"proposed":[178],"network":[179,203],"outperforms":[181],"traditional":[183],"method":[184],"estimating":[186],"without":[188],"utilizing":[189],"annotation.":[191],"Further,":[192],"paper":[194],"provides":[195],"deeper":[197],"insight":[198],"into":[199],"through":[204],"visualization":[205],"interpretation":[207],"features":[210],"learned.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2020-11-23T00:00:00"}
