{"id":"https://openalex.org/W2911024029","doi":"https://doi.org/10.1109/icit.2019.8755235","title":"A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting","display_name":"A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2911024029","doi":"https://doi.org/10.1109/icit.2019.8755235","mag":"2911024029"},"language":"en","primary_location":{"id":"doi:10.1109/icit.2019.8755235","doi":"https://doi.org/10.1109/icit.2019.8755235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2019.8755235","pdf_url":null,"source":{"id":"https://openalex.org/S4363608411","display_name":"IEEE International Conference on Industrial Technology (ICIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1901.03327","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085593383","display_name":"Thanh Thi Nguyen","orcid":"https://orcid.org/0000-0001-9709-1663","observed_orcids":["https://orcid.org/0000-0001-9709-1663","https://orcid.org/0000-0002-2586-7757","https://orcid.org/0000-0002-2285-2066","https://orcid.org/0000-0002-6050-0774","https://orcid.org/0000-0002-6614-9559","https://orcid.org/0000-0003-4865-7127","https://orcid.org/0000-0002-6798-9808"]},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thanh Nguyen","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ngoc Duy Nguyen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ngoc Duy Nguyen","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fernando Bello","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fernando Bello","raw_affiliation_strings":["Department of Surgery and Cancer, Imperial College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Surgery and Cancer, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":null,"display_name":"Saeid Nahavandi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saeid Nahavandi","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":42.207,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.99846673,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1339","last_page":"1344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.8270999789237976,"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":0.8270999789237976,"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/T10868","display_name":"Soft Robotics and Applications","score":0.13650000095367432,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.025200000032782555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/surgical-scissors","display_name":"surgical scissors","score":0.5910000205039978},{"id":"https://openalex.org/keywords/deep-reinforcement-learning","display_name":"deep reinforcement learning","score":0.7799999713897705},{"id":"https://openalex.org/keywords/surgical-robots","display_name":"surgical robots","score":0.5339999794960022},{"id":"https://openalex.org/keywords/fundamentals-of-laparoscopic-surgery","display_name":"Fundamentals of Laparoscopic Surgery","score":0.8320000171661377},{"id":"https://openalex.org/keywords/cutting-accuracy","display_name":"cutting accuracy","score":0.42800000309944153}],"concepts":[{"id":"https://openalex.org/C2775960376","wikidata":"https://www.wikidata.org/wiki/Q1435859","display_name":"Grippers","level":2,"score":0.6276999711990356},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5674999952316284},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5313000082969666},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5210999846458435},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.47909998893737793},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4690999984741211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.439300000667572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.399399995803833},{"id":"https://openalex.org/C186068551","wikidata":"https://www.wikidata.org/wiki/Q13255585","display_name":"Tension (geology)","level":3,"score":0.38449999690055847},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C2780383046","wikidata":"https://www.wikidata.org/wiki/Q1760958","display_name":"Cutting tool","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C3017684034","wikidata":"https://www.wikidata.org/wiki/Q942348","display_name":"Surgical robot","level":3,"score":0.33570000529289246},{"id":"https://openalex.org/C14480152","wikidata":"https://www.wikidata.org/wiki/Q944644","display_name":"Pinch","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C2780395129","wikidata":"https://www.wikidata.org/wiki/Q1128971","display_name":"Rapid prototyping","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C2781347998","wikidata":"https://www.wikidata.org/wiki/Q1587588","display_name":"Manipulator (device)","level":3,"score":0.27309998869895935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2720000147819519},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C2985527887","wikidata":"https://www.wikidata.org/wiki/Q1587588","display_name":"Robot manipulator","level":3,"score":0.2554999887943268},{"id":"https://openalex.org/C2778181360","wikidata":"https://www.wikidata.org/wiki/Q1074814","display_name":"Surgical instrument","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icit.2019.8755235","doi":"https://doi.org/10.1109/icit.2019.8755235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit.2019.8755235","pdf_url":null,"source":{"id":"https://openalex.org/S4363608411","display_name":"IEEE International Conference on Industrial Technology (ICIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1901.03327","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.03327","pdf_url":"https://arxiv.org/pdf/1901.03327","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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:figshare.com:article/20748031","doi":null,"is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_new_tensioning_method_using_deep_reinforcement_learning_for_surgical_pattern_cutting/20748031","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/76944","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/76944","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Industrial Technology (IEEE ICIT)","raw_type":"Conference Paper"},{"id":"doi:10.48550/arxiv.1901.03327","doi":"https://doi.org/10.48550/arxiv.1901.03327","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1901.03327","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1901.03327","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.03327","pdf_url":"https://arxiv.org/pdf/1901.03327","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2911024029.pdf","grobid_xml":"https://content.openalex.org/works/W2911024029.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1507762168","https://openalex.org/W1584687743","https://openalex.org/W1677601221","https://openalex.org/W1771410628","https://openalex.org/W1979987057","https://openalex.org/W1983309556","https://openalex.org/W1989109525","https://openalex.org/W1989460737","https://openalex.org/W1989461313","https://openalex.org/W2018346149","https://openalex.org/W2055185364","https://openalex.org/W2065883524","https://openalex.org/W2081725020","https://openalex.org/W2094740464","https://openalex.org/W2100033188","https://openalex.org/W2164901482","https://openalex.org/W2220490338","https://openalex.org/W2262715205","https://openalex.org/W2313922182","https://openalex.org/W2335221360","https://openalex.org/W2341108136","https://openalex.org/W2346178339","https://openalex.org/W2432137114","https://openalex.org/W2463422994","https://openalex.org/W2519935934","https://openalex.org/W2601943843","https://openalex.org/W2605447266","https://openalex.org/W2620915497","https://openalex.org/W2736750746","https://openalex.org/W2768919152","https://openalex.org/W2790759781","https://openalex.org/W2790858115","https://openalex.org/W2796224816","https://openalex.org/W2888546857","https://openalex.org/W2889241684","https://openalex.org/W2963641140","https://openalex.org/W3106394430","https://openalex.org/W6998967213"],"related_works":["https://openalex.org/W2736750746","https://openalex.org/W2913499274","https://openalex.org/W4309153663","https://openalex.org/W4319996462","https://openalex.org/W4323914534","https://openalex.org/W4413393366","https://openalex.org/W3094103188","https://openalex.org/W4312383713","https://openalex.org/W4399568539","https://openalex.org/W4391422942"],"abstract_inverted_index":{"Surgeons":[0],"normally":[1],"need":[2],"surgical":[3,13,33,53,76,117],"scissors":[4,69],"and":[5,55,124,166],"tissue":[6,58],"grippers":[7],"to":[8,22,47,59,63,86,119,134,158],"cut":[9,70],"through":[10,71],"a":[11,49,60,72,82,99,103,129,142,149],"deformable":[12],"tissue.":[14],"The":[15,43],"cutting":[16,96,105,122],"accuracy":[17,123],"depends":[18],"on":[19,51,141,148],"the":[20,38,52,57,65,68,75,95,111,116,121,153],"skills":[21,28,34],"manipulate":[23],"these":[24],"two":[25],"tools.":[26],"Such":[27],"are":[29,78],"part":[30],"of":[31,40,94,163],"basic":[32],"training":[35],"as":[36],"in":[37,161],"Fundamentals":[39],"Laparoscopic":[41],"Surgery.":[42],"gripper":[44],"is":[45,156],"used":[46],"pinch":[48,131],"point":[50,132],"sheet":[54],"pull":[56],"certain":[61],"direction":[62,90],"maintain":[64],"tension":[66],"while":[67],"trajectory.":[73],"As":[74],"materials":[77],"deformable,":[79],"it":[80],"requires":[81],"comprehensive":[83],"tensioning":[84,89,100,138],"policy":[85,101],"yield":[87],"appropriate":[88],"at":[91],"each":[92],"step":[93],"process.":[97],"Automating":[98],"for":[102],"given":[104],"trajectory":[106],"will":[107],"support":[108],"not":[109],"only":[110],"human":[112],"surgeons":[113],"but":[114],"also":[115],"robots":[118],"improve":[120],"reliability.":[125],"This":[126],"paper":[127],"presents":[128],"multiple":[130],"approach":[133],"modelling":[135],"an":[136],"autonomous":[137],"planner":[139],"based":[140],"deep":[143],"reinforcement":[144],"learning":[145],"algorithm.":[146],"Experiments":[147],"simulator":[150],"show":[151],"that":[152],"proposed":[154],"method":[155],"superior":[157],"existing":[159],"methods":[160],"terms":[162],"both":[164],"performance":[165],"robustness.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-01-25T00:00:00"}