{"id":"https://openalex.org/W4400351747","doi":"https://doi.org/10.1109/jbhi.2024.3423791","title":"MonoLoT: Self-Supervised Monocular Depth Estimation in Low-Texture Scenes for Automatic Robotic Endoscopy","display_name":"MonoLoT: Self-Supervised Monocular Depth Estimation in Low-Texture Scenes for Automatic Robotic Endoscopy","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4400351747","doi":"https://doi.org/10.1109/jbhi.2024.3423791","pmid":"https://pubmed.ncbi.nlm.nih.gov/38968011"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3423791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3423791","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10194872/1/MonoLoT_Self-Supervised_Monocular_Depth_Estimation_in_Low-Texture_Scenes_for_Automatic_Robotic_Endoscopy.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101571013","display_name":"Qi He","orcid":"https://orcid.org/0000-0003-4735-4781"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi He","raw_affiliation_strings":["Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4735-4781","affiliations":[{"raw_affiliation_string":"Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416253","display_name":"Guang Feng","orcid":"https://orcid.org/0009-0003-8412-726X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Feng","raw_affiliation_strings":["Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0003-8412-726X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071609030","display_name":"Sophia Bano","orcid":"https://orcid.org/0000-0003-1329-4565"},"institutions":[{"id":"https://openalex.org/I4210122016","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I1299528221","https://openalex.org/I4210087105","https://openalex.org/I4210122016","https://openalex.org/I45129253","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sophia Bano","raw_affiliation_strings":["Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) and the Department of Computer Science, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1329-4565","affiliations":[{"raw_affiliation_string":"Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) and the Department of Computer Science, University College London, London, U.K","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077630267","display_name":"Danail Stoyanov","orcid":"https://orcid.org/0000-0002-0980-3227"},"institutions":[{"id":"https://openalex.org/I4210122016","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I1299528221","https://openalex.org/I4210087105","https://openalex.org/I4210122016","https://openalex.org/I45129253","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danail Stoyanov","raw_affiliation_strings":["Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) and the Department of Computer Science, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0980-3227","affiliations":[{"raw_affiliation_string":"Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) and the Department of Computer Science, University College London, London, U.K","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086477021","display_name":"Siyang Zuo","orcid":"https://orcid.org/0000-0003-4257-7978"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyang Zuo","raw_affiliation_strings":["Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4257-7978","affiliations":[{"raw_affiliation_string":"Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2481,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89096687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"28","issue":"10","first_page":"6078","last_page":"6091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.878000020980835,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.878000020980835,"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/T10868","display_name":"Soft Robotics and Applications","score":0.7993999719619751,"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/T10916","display_name":"Surgical Simulation and Training","score":0.76910001039505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7789456844329834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6940193772315979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6915007829666138},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6821706295013428},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5313470959663391},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25006335973739624}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7789456844329834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6940193772315979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6915007829666138},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6821706295013428},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5313470959663391},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25006335973739624}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","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":"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":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D065287","descriptor_name":"Robotic Surgical Procedures","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2024.3423791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3423791","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38968011","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38968011","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 journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10194872","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10194872/","pdf_url":"https://discovery.ucl.ac.uk/10194872/1/MonoLoT_Self-Supervised_Monocular_Depth_Estimation_in_Low-Texture_Scenes_for_Automatic_Robotic_Endoscopy.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   IEEE Journal of Biomedical and Health Informatics       (2024)     (In press).  ","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10194872","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10194872/","pdf_url":"https://discovery.ucl.ac.uk/10194872/1/MonoLoT_Self-Supervised_Monocular_Depth_Estimation_in_Low-Texture_Scenes_for_Automatic_Robotic_Endoscopy.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   IEEE Journal of Biomedical and Health Informatics       (2024)     (In press).  ","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5045553067","display_name":"Ultra-low-cost endoscopy for gastric cancer screening in rural China","funder_award_id":"EP/P027938/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5935547209","display_name":null,"funder_award_id":"203145/Z/16/Z","funder_id":"https://openalex.org/F4320330765","funder_display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences"},{"id":"https://openalex.org/G742712359","display_name":null,"funder_award_id":"203145/Z/16/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G8780035270","display_name":null,"funder_award_id":"62133010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330765","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400351747.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W2133450663","https://openalex.org/W2133665775","https://openalex.org/W2630837129","https://openalex.org/W2939157633","https://openalex.org/W2981267961","https://openalex.org/W2985775862","https://openalex.org/W3022682304","https://openalex.org/W3030378837","https://openalex.org/W3152803807","https://openalex.org/W3166285241","https://openalex.org/W3175682855","https://openalex.org/W3184350052","https://openalex.org/W3203439539","https://openalex.org/W4210893951","https://openalex.org/W4223980876","https://openalex.org/W4295915909","https://openalex.org/W4308624764","https://openalex.org/W4312466183","https://openalex.org/W4312977443","https://openalex.org/W4321512633","https://openalex.org/W4367040751","https://openalex.org/W4376481259","https://openalex.org/W4377115383","https://openalex.org/W4383960574","https://openalex.org/W4385245566","https://openalex.org/W4386076206","https://openalex.org/W4386527936","https://openalex.org/W4387129495","https://openalex.org/W4387309474","https://openalex.org/W4390839460","https://openalex.org/W4390871805","https://openalex.org/W4390872051","https://openalex.org/W4394625652","https://openalex.org/W6685261749","https://openalex.org/W6803916128"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"self-supervised":[1,64,116,137],"monocular":[2,65,145,180],"depth":[3,66,146,181],"estimation":[4,67,147,182],"framework":[5,32,68],"is":[6],"well-suited":[7],"for":[8,148,183,193],"medical":[9,194],"images":[10],"that":[11,94],"lack":[12],"ground-truth":[13],"depth,":[14],"such":[15],"as":[16],"those":[17],"from":[18],"digestive":[19,169,184],"endoscopes,":[20],"facilitating":[21],"navigation":[22],"and":[23,47,76,90,108,115,136,166,189],"3D":[24],"reconstruction":[25],"in":[26,39,50,168,179],"the":[27,127,141],"gastrointestinal":[28],"tract.":[29],"However,":[30],"this":[31],"faces":[33],"several":[34],"limitations,":[35],"including":[36],"poor":[37],"performance":[38],"low-texture":[40],"environments,":[41],"limited":[42],"generalisation":[43,128],"to":[44],"real-world":[45,123],"datasets,":[46,87],"unclear":[48],"applicability":[49],"downstream":[51],"tasks":[52],"like":[53],"visual":[54,149],"servoing.":[55],"To":[56,139],"tackle":[57],"these":[58],"challenges,":[59],"we":[60,151],"propose":[61],"MonoLoT,":[62],"a":[63,158,176],"featuring":[69],"two":[70,84],"key":[71,187],"innovations:":[72],"point":[73],"matching":[74],"loss":[75],"batch":[77],"image":[78],"shuffle.":[79],"Extensive":[80],"ablation":[81],"studies":[82],"on":[83,106,110,118,122],"publicly":[85],"available":[86],"namely":[88],"C3VD":[89,107],"SimCol,":[91,111],"have":[92,152],"shown":[93],"methods":[95],"enabled":[96],"by":[97],"MonoLoT":[98],"achieve":[99],"substantial":[100],"improvements,":[101],"with":[102],"accuracies":[103],"of":[104,130,143],"0.944":[105],"0.959":[109],"surpassing":[112],"both":[113,134],"depth-supervised":[114,135],"baselines":[117],"C3VD.":[119],"Qualitative":[120],"evaluations":[121],"endoscopic":[124],"data":[125],"underscore":[126],"capabilities":[129],"our":[131,155,173],"methods,":[132],"outperforming":[133],"baselines.":[138],"demonstrate":[140],"feasibility":[142],"using":[144],"servoing,":[150],"successfully":[153],"integrated":[154],"method":[156,174],"into":[157],"proof-of-concept":[159],"robotic":[160],"platform,":[161],"enabling":[162],"real-time":[163],"automatic":[164],"intervention":[165],"control":[167],"endoscopy.":[170],"In":[171],"summary,":[172],"represents":[175],"significant":[177],"advancement":[178],"endoscopy,":[185],"overcoming":[186],"challenges":[188],"opening":[190],"promising":[191],"avenues":[192],"applications.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}