{"id":"https://openalex.org/W4284683636","doi":"https://doi.org/10.1109/jbhi.2022.3188878","title":"Dynamic Depth-Aware Network for Endoscopy Super-Resolution","display_name":"Dynamic Depth-Aware Network for Endoscopy Super-Resolution","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284683636","doi":"https://doi.org/10.1109/jbhi.2022.3188878","pmid":"https://pubmed.ncbi.nlm.nih.gov/35793305"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3188878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3188878","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100604609","display_name":"Wenting Chen","orcid":"https://orcid.org/0000-0002-7457-9540"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenting Chen","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-7457-9540","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376139","display_name":"Yifan Liu","orcid":"https://orcid.org/0000-0001-9342-9428"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yifan Liu","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-9342-9428","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032280335","display_name":"Jiancong Hu","orcid":"https://orcid.org/0000-0003-1116-4177"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210093460","display_name":"Sixth Affiliated Hospital of Sun Yat-sen University","ror":"https://ror.org/005pe1772","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210093460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancong Hu","raw_affiliation_strings":["Department of Endoscopic Surgery, the sixth Affiliated Hospital, Sun Yat-sen Univerisity, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Endoscopic Surgery, the sixth Affiliated Hospital, Sun Yat-sen Univerisity, China","institution_ids":["https://openalex.org/I4210093460","https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073968803","display_name":"Yixuan Yuan","orcid":"https://orcid.org/0000-0002-0853-6948"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yixuan Yuan","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong","City University of Hong Kong Shenzhen Research Institute, Shenzhen, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-0853-6948","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong Shenzhen Research Institute, Shenzhen, P. R. China","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I4210105229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7618,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85859258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":"10","first_page":"5189","last_page":"5200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9975000023841858,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9975000023841858,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.982200026512146,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9815000295639038,"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/computer-science","display_name":"Computer science","score":0.7229331135749817},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6418460607528687},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6317136883735657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6184645295143127},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5259666442871094},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48714014887809753},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47702834010124207},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.444654256105423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4405273199081421},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4224252998828888},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39329925179481506},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.289277583360672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229331135749817},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6418460607528687},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6317136883735657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6184645295143127},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5259666442871094},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48714014887809753},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47702834010124207},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.444654256105423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4405273199081421},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4224252998828888},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39329925179481506},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.289277583360672},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2022.3188878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3188878","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:35793305","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35793305","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5102525846","display_name":null,"funder_award_id":"62001410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1507642595","https://openalex.org/W1522301498","https://openalex.org/W1903029394","https://openalex.org/W2110859373","https://openalex.org/W2143929290","https://openalex.org/W2158688931","https://openalex.org/W2159132444","https://openalex.org/W2166460353","https://openalex.org/W2168061099","https://openalex.org/W2284050935","https://openalex.org/W2476548250","https://openalex.org/W2560328367","https://openalex.org/W2572730214","https://openalex.org/W2623808523","https://openalex.org/W2866634454","https://openalex.org/W2890803520","https://openalex.org/W2892362405","https://openalex.org/W2911581663","https://openalex.org/W2916204163","https://openalex.org/W2939157633","https://openalex.org/W2962900571","https://openalex.org/W2963031226","https://openalex.org/W2963073614","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2964277374","https://openalex.org/W2964971217","https://openalex.org/W2985775862","https://openalex.org/W3011536110","https://openalex.org/W3034247386","https://openalex.org/W3038678488","https://openalex.org/W3044812225","https://openalex.org/W3049603761","https://openalex.org/W3090370582","https://openalex.org/W3096127685","https://openalex.org/W3096739052","https://openalex.org/W3111051040","https://openalex.org/W3126104941","https://openalex.org/W3133033097","https://openalex.org/W3133869127","https://openalex.org/W3175873985","https://openalex.org/W3176997885","https://openalex.org/W3178648163","https://openalex.org/W3179159099","https://openalex.org/W3205301720","https://openalex.org/W4200072305","https://openalex.org/W4200592928","https://openalex.org/W4298129340","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6695676441","https://openalex.org/W6774476743","https://openalex.org/W6777205017","https://openalex.org/W6787724516"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W2614621130","https://openalex.org/W2547665164","https://openalex.org/W2044092692","https://openalex.org/W3103111272","https://openalex.org/W4289655544"],"abstract_inverted_index":{"Endoscopy":[0],"super-resolution":[1,122],"(SR)":[2],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7],"improving":[8],"diagnostic":[9],"results":[10],"and":[11,35,93,119,148,208,212,225],"reducing":[12],"the":[13,22,32,39,44,69,75,79,104,121,145,152,160,170,205,209,213,217],"misdiagnosis":[14],"rate.":[15],"Even":[16],"though":[17],"recent":[18],"studies":[19],"have":[20,195],"investigated":[21],"SR":[23,80,96,191,223],"for":[24,52,64,82,107,163,190,222],"endoscopy,":[25],"these":[26],"methods":[27],"apply":[28],"equal":[29],"importance":[30],"to":[31,72,78,102,115,142,158,182,187,231],"whole":[33],"image":[34,154,161],"do":[36],"not":[37],"consider":[38],"relationship":[40],"among":[41],"pixels,":[42],"especially":[43],"depth":[45,76,109,112,127,146,149,165,174],"information,":[46],"which":[47,67],"can":[48],"provide":[49,116],"diagnosis-related":[50],"information":[51,77,118],"clinicians.":[53],"To":[54,167],"address":[55],"this":[56],"problem,":[57],"we":[58,176],"propose":[59],"a":[60,87,94,131,178],"dynamic":[61,179],"depth-aware":[62,180],"network":[63],"endoscopy":[65],"super-resolution,":[66],"represents":[68],"first":[70],"effort":[71],"comprehensively":[73],"integrate":[74],"task":[81,224],"endoscopic":[83],"images.":[84],"It":[85],"includes":[86],"depth-wise":[88],"feature":[89,106],"extracting":[90],"branch":[91,97],"(DW-B)":[92],"depth-guided":[95,132],"(DGSR-B).":[98],"The":[99],"DW-B":[100],"aims":[101],"extract":[103],"representative":[105],"each":[108,164,188],"level":[110],"(i.e.":[111],"matrix)":[113],"further":[114],"auxiliary":[117],"guide":[120,159],"of":[123,136,219],"texture":[124],"under":[125,172],"different":[126,173,184],"levels.":[128],"In":[129],"DGSR-B,":[130],"block":[133],"(DGB)":[134],"consisting":[135],"depth-focus":[137],"normalization":[138],"(DFN)":[139],"is":[140,230],"introduced":[141],"inject":[143],"both":[144],"matrix":[147],"map":[150],"into":[151],"LR":[153],"feature,":[155],"so":[156],"as":[157],"generation":[162],"region.":[166],"adaptively":[168],"super-resolve":[169],"regions":[171],"levels,":[175],"devise":[177],"loss":[181],"assign":[183],"trainable":[185],"weights":[186],"region":[189],"optimization.":[192],"Extensive":[193],"experiments":[194],"been":[196],"conducted":[197],"on":[198],"two":[199],"main":[200],"publicly":[201],"available":[202],"datasets,":[203],"i.e.,":[204],"Kvasir":[206],"dataset":[207],"EndoScene":[210],"dataset,":[211],"superior":[214],"performance":[215],"verifies":[216],"effectiveness":[218],"our":[220],"method":[221],"polyp":[226],"segmentation.":[227],"Source":[228],"code":[229],"be":[232],"released.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}