{"id":"https://openalex.org/W4416750354","doi":"https://doi.org/10.1109/iros60139.2025.11247446","title":"SRCNet: Super-resolution Networks for Capsule Endoscope Robots","display_name":"SRCNet: Super-resolution Networks for Capsule Endoscope Robots","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416750354","doi":"https://doi.org/10.1109/iros60139.2025.11247446"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11247446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024045483","display_name":"Menglu Tan","orcid":"https://orcid.org/0000-0001-5758-0008"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menglu Tan","raw_affiliation_strings":["Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013116614","display_name":"Guangdong Zhan","orcid":"https://orcid.org/0000-0001-7089-3375"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangdong Zhan","raw_affiliation_strings":["Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002561321","display_name":"Zijin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijin Zeng","raw_affiliation_strings":["Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759964","display_name":"Ao Wang","orcid":"https://orcid.org/0000-0003-2137-7029"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Wang","raw_affiliation_strings":["Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074574949","display_name":"Lin Feng","orcid":"https://orcid.org/0000-0002-5158-3862"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Feng","raw_affiliation_strings":["Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Department of Mechanical Engineering & Automation,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7804","last_page":"7809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.3091000020503998,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.3091000020503998,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.2572999894618988,"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":0.12359999865293503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6866999864578247},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4198000133037567},{"id":"https://openalex.org/keywords/capsule","display_name":"Capsule","score":0.3840000033378601},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3700999915599823},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.35910001397132874},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3384000062942505},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.326200008392334}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6866999864578247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.677299976348877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317999958992004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6007999777793884},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4198000133037567},{"id":"https://openalex.org/C2778778583","wikidata":"https://www.wikidata.org/wiki/Q147768","display_name":"Capsule","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.326200008392334},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C2776820786","wikidata":"https://www.wikidata.org/wiki/Q580725","display_name":"Endoscope","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.27079999446868896},{"id":"https://openalex.org/C196467688","wikidata":"https://www.wikidata.org/wiki/Q1851985","display_name":"Telerobotics","level":4,"score":0.26739999651908875},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11247446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11247446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2108598243","https://openalex.org/W2320725294","https://openalex.org/W2884585870","https://openalex.org/W2923834406","https://openalex.org/W3013529009","https://openalex.org/W3035574324","https://openalex.org/W3049603761","https://openalex.org/W3082604781","https://openalex.org/W3126104941","https://openalex.org/W3128646645","https://openalex.org/W3157035436","https://openalex.org/W3164631742","https://openalex.org/W3176583247","https://openalex.org/W3194030619","https://openalex.org/W3209550274","https://openalex.org/W4281679258","https://openalex.org/W4289823742","https://openalex.org/W4362512373","https://openalex.org/W4399573438"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"capsule":[3,33,57,69],"robots":[4,34],"have":[5,131,149],"gained":[6],"wide":[7],"acceptance":[8],"among":[9],"doctors":[10,129],"and":[11,24,40,52,144],"patients":[12],"for":[13,68],"the":[14,28,56,62,94,122,136,140,156,176,179],"examination":[15],"of":[16,55,64,96,124,135,146,178],"gastrointestinal":[17],"diseases":[18],"due":[19],"to":[20,46,92,120,130,173],"their":[21],"non-invasive,":[22],"safe,":[23],"painless":[25],"advantages.":[26],"However,":[27],"image":[29],"resolution":[30,95,123],"captured":[31,97],"by":[32,37],"is":[35,76,90,106,118],"limited":[36],"space":[38],"size":[39],"power,":[41],"which":[42],"hinders":[43],"doctors'":[44],"ability":[45],"accurately":[47],"assess":[48],"patients'":[49],"stomach":[50,137],"conditions":[51],"real-time":[53,108],"control":[54],"robot.":[58],"This":[59],"paper":[60],"proposes":[61],"design":[63],"two":[65],"super-resolution":[66,81,110],"networks":[67,148,181],"robot":[70],"videos.":[71],"The":[72,102],"first":[73],"network,":[74,104],"EndoVSR,":[75],"a":[77,85,107,132],"high-performance":[78],"offline":[79,100],"video":[80,109],"network":[82,111],"based":[83,112],"on":[84,113,168],"generative":[86],"adversarial":[87],"network.":[88],"It":[89,117],"designed":[91,119],"enhance":[93,121],"videos":[98,125],"during":[99,139],"processing.":[101],"second":[103],"Bi-RUN,":[105],"recurrent":[114],"neural":[115],"networks.":[116],"in":[126,171,182],"real-time,":[127],"enabling":[128],"clearer":[133],"view":[134],"condition":[138],"examination.":[141],"Extensive":[142],"training":[143],"verification":[145],"these":[147],"been":[150],"conducted":[151],"using":[152],"different":[153],"datasets.":[154],"All":[155],"performance":[157,177],"indicators":[158],"achieved":[159],"leading":[160],"positions.":[161],"Furthermore,":[162],"simulation":[163],"experiments":[164],"were":[165],"carried":[166],"out":[167],"pig":[169],"stomachs":[170],"vitro":[172],"further":[174],"validate":[175],"proposed":[180],"practical":[183],"applications.":[184]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-28T00:00:00"}