{"id":"https://openalex.org/W3044812225","doi":"https://doi.org/10.1109/tii.2020.3011067","title":"Unsupervised-Learning-Based Continuous Depth and Motion Estimation With Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery","display_name":"Unsupervised-Learning-Based Continuous Depth and Motion Estimation With Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery","publication_year":2020,"publication_date":"2020-07-21","ids":{"openalex":"https://openalex.org/W3044812225","doi":"https://doi.org/10.1109/tii.2020.3011067","mag":"3044812225"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.3011067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3011067","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-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/A5101655902","display_name":"Ling Li","orcid":"https://orcid.org/0000-0003-0663-3784"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Li","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679806","display_name":"Xiaojian Li","orcid":"https://orcid.org/0000-0002-3175-7810"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojian Li","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070080394","display_name":"Shanlin Yang","orcid":"https://orcid.org/0000-0002-2965-2761"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanlin Yang","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712879","display_name":"Shuai Ding","orcid":"https://orcid.org/0000-0002-8384-1950"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Ding","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045461052","display_name":"Alireza Jolfaei","orcid":"https://orcid.org/0000-0001-7818-459X"},"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":"Alireza Jolfaei","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081182489","display_name":"Xi Zheng","orcid":"https://orcid.org/0000-0002-2572-2355"},"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":"Xi Zheng","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101655902"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":3.6303,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.94378324,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"17","issue":"6","first_page":"3920","last_page":"3928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11019","display_name":"Image Enhancement Techniques","score":0.9980000257492065,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7849576473236084},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.755714476108551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130793333053589},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7091822028160095},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6367979049682617},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5363086462020874},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5128591060638428},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.46184390783309937}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7849576473236084},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.755714476108551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130793333053589},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7091822028160095},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6367979049682617},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5363086462020874},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5128591060638428},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.46184390783309937},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2020.3011067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3011067","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2053128168","display_name":null,"funder_award_id":"GXXT-2019-041","funder_id":"https://openalex.org/F4320336582","funder_display_name":"Collaborative Innovation Project of Colleges and Universities of Anhui Province"},{"id":"https://openalex.org/G2524254208","display_name":null,"funder_award_id":"PA2020GDKC0020","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3694036367","display_name":null,"funder_award_id":"PA2019GDQT0021","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6586346490","display_name":null,"funder_award_id":"61903115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7152790482","display_name":null,"funder_award_id":"GXXT-2019-014","funder_id":"https://openalex.org/F4320336582","funder_display_name":"Collaborative Innovation Project of Colleges and Universities of Anhui Province"},{"id":"https://openalex.org/G8513079059","display_name":null,"funder_award_id":"PA2019GDZC0100","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336582","display_name":"Collaborative Innovation Project of Colleges and Universities of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2067939235","https://openalex.org/W2085566448","https://openalex.org/W2255470491","https://openalex.org/W2394846901","https://openalex.org/W2520707372","https://openalex.org/W2535547924","https://openalex.org/W2551052086","https://openalex.org/W2556673367","https://openalex.org/W2609883120","https://openalex.org/W2614788194","https://openalex.org/W2615465674","https://openalex.org/W2739977037","https://openalex.org/W2745549613","https://openalex.org/W2776150228","https://openalex.org/W2788765199","https://openalex.org/W2801997348","https://openalex.org/W2807977194","https://openalex.org/W2883362502","https://openalex.org/W2884324731","https://openalex.org/W2900518465","https://openalex.org/W2910876659","https://openalex.org/W2943272283","https://openalex.org/W2954876976","https://openalex.org/W2962816904","https://openalex.org/W2962900571","https://openalex.org/W2963583471","https://openalex.org/W2963596017","https://openalex.org/W2963764717","https://openalex.org/W2982313557","https://openalex.org/W2989184872","https://openalex.org/W3102327032"],"related_works":["https://openalex.org/W200819717","https://openalex.org/W2770593030","https://openalex.org/W2032269556","https://openalex.org/W1991834176","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W4253756925","https://openalex.org/W2805523177","https://openalex.org/W3154990682","https://openalex.org/W4391053327"],"abstract_inverted_index":{"Three-dimensional":[0],"display":[1],"and":[2,60,72,90,97,158,177,188],"virtual":[3,47],"reality":[4,48],"technology":[5,31],"have":[6],"been":[7],"applied":[8],"in":[9,44],"minimally":[10],"invasive":[11],"surgery":[12],"to":[13,41,94,116,133,154],"provide":[14],"doctors":[15],"with":[16,50,108,143,166],"a":[17,51,65,109,144],"more":[18],"immersive":[19],"surgical":[20,36],"experience.":[21],"One":[22],"of":[23,58,86,120,127,137,160,186],"the":[24,33,43,76,84,118,128,135,138,156,161,167,172,184,194],"most":[25],"popular":[26],"systems":[27],"based":[28],"on":[29],"this":[30,63],"is":[32,54,81,106,131,152],"Da":[34],"Vinci":[35],"robot":[37],"system.":[38],"The":[39,100,123,148],"key":[40],"build":[42],"vivo":[45],"3-D":[46],"model":[49],"monocular":[52,78],"endoscope":[53],"an":[55],"accurate":[56],"estimation":[57,74,179],"depth":[59,71,125,136,176,187],"motion.":[61],"In":[62],"article,":[64],"fully":[66],"unsupervised":[67],"learning":[68],"method":[69,180],"for":[70],"motion":[73,178,189],"using":[75],"continuous":[77,175],"endoscopic":[79],"video":[80],"proposed.":[82],"After":[83],"detection":[85],"highlighted":[87],"regions,":[88],"EndoMotionNet":[89,115],"EndoDepthNet":[91,142],"are":[92],"designed":[93],"estimate":[95,134],"ego-motion":[96,121],"depth,":[98],"respectively.":[99],"timing":[101],"information":[102],"between":[103],"consecutive":[104],"frames":[105],"considered":[107],"long":[110],"short-term":[111],"memory":[112],"layer":[113],"by":[114,141],"enhance":[117],"accuracy":[119,159,185],"estimation.":[122],"estimated":[124],"value":[126],"previous":[129],"frame":[130,140],"used":[132],"next":[139],"multimode":[145],"fusion":[146],"mechanism.":[147],"custom":[149],"loss":[150],"function":[151],"defined":[153],"improve":[155,183],"robustness":[157],"proposed":[162,173],"unsupervised-learning-based":[163,174],"method.":[164],"Experiments":[165],"public":[168],"datasets":[169],"verify":[170],"that":[171],"can":[181],"effectively":[182],"estimation,":[190],"especially":[191],"after":[192],"processing":[193],"frame.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}