{"id":"https://openalex.org/W4387385597","doi":"https://doi.org/10.1109/tnnls.2023.3315307","title":"HQG-Net: Unpaired Medical Image Enhancement With High-Quality Guidance","display_name":"HQG-Net: Unpaired Medical Image Enhancement With High-Quality Guidance","publication_year":2023,"publication_date":"2023-10-05","ids":{"openalex":"https://openalex.org/W4387385597","doi":"https://doi.org/10.1109/tnnls.2023.3315307","pmid":"https://pubmed.ncbi.nlm.nih.gov/37796672"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3315307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3315307","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5053179991","display_name":"Chunming He","orcid":"https://orcid.org/0000-0001-6479-7109"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunming He","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399953","display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-9027-0914"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["Machine Learning Department, NEC Laboratories America Inc., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Machine Learning Department, NEC Laboratories America Inc., Princeton, NJ, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056604663","display_name":"Guoxia Xu","orcid":"https://orcid.org/0000-0002-0036-8820"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Guoxia Xu","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Gj&#x00F8;vik, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013716631","display_name":"Jiangpeng Yan","orcid":"https://orcid.org/0000-0002-0767-1726"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangpeng Yan","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010564305","display_name":"Longxiang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxiang Tang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074865219","display_name":"Yulun Zhang","orcid":"https://orcid.org/0000-0002-2288-5079"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yulun Zhang","raw_affiliation_strings":["Computer Vision Laboratory, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Z&#x00FC;rich, Z&#x00FC;rich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631216","display_name":"Yaowei Wang","orcid":"https://orcid.org/0000-0003-2197-9038"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowei Wang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754504","display_name":"Xiu Li","orcid":"https://orcid.org/0000-0003-0403-1923"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Li","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053179991"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.4657,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.9706259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"35","issue":"12","first_page":"18404","last_page":"18418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9987999796867371,"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":0.7348982095718384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6129544377326965},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5640281438827515},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.5246294140815735},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.503534734249115},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5022177696228027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4984891414642334},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4565015733242035},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4451674818992615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4199898838996887},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4116041362285614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4033465087413788}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348982095718384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6129544377326965},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5640281438827515},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.5246294140815735},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.503534734249115},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5022177696228027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4984891414642334},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4565015733242035},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4451674818992615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4199898838996887},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4116041362285614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4033465087413788},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3315307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3315307","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37796672","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37796672","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 transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2019646504","https://openalex.org/W2037760632","https://openalex.org/W2116973876","https://openalex.org/W2198630576","https://openalex.org/W2266694576","https://openalex.org/W2339754110","https://openalex.org/W2560328367","https://openalex.org/W2603777577","https://openalex.org/W2799192307","https://openalex.org/W2799265886","https://openalex.org/W2810912957","https://openalex.org/W2883996939","https://openalex.org/W2903718012","https://openalex.org/W2914824058","https://openalex.org/W2919046835","https://openalex.org/W2948149465","https://openalex.org/W2962579127","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963928582","https://openalex.org/W2980185997","https://openalex.org/W2981413388","https://openalex.org/W2989045104","https://openalex.org/W3008488515","https://openalex.org/W3034243376","https://openalex.org/W3034600949","https://openalex.org/W3035022492","https://openalex.org/W3091618893","https://openalex.org/W3092580847","https://openalex.org/W3099147628","https://openalex.org/W3099686304","https://openalex.org/W3101566148","https://openalex.org/W3112383662","https://openalex.org/W3121661546","https://openalex.org/W3173435145","https://openalex.org/W3179253672","https://openalex.org/W3189108671","https://openalex.org/W3199543531","https://openalex.org/W3202285299","https://openalex.org/W3203495808","https://openalex.org/W3204497690","https://openalex.org/W3208626099","https://openalex.org/W4205353149","https://openalex.org/W4214918478","https://openalex.org/W4229026447","https://openalex.org/W4288064428","https://openalex.org/W4293428643","https://openalex.org/W4294982733","https://openalex.org/W4295308569","https://openalex.org/W4297536952","https://openalex.org/W4312250205","https://openalex.org/W4312358791","https://openalex.org/W4312574089","https://openalex.org/W4312594135","https://openalex.org/W4312935555","https://openalex.org/W4318141851","https://openalex.org/W4377143267","https://openalex.org/W4382318364","https://openalex.org/W4385681573","https://openalex.org/W4386076039","https://openalex.org/W6852404605","https://openalex.org/W6855656870"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W4321441197","https://openalex.org/W3211387963","https://openalex.org/W3212254418"],"abstract_inverted_index":{"Unpaired":[0],"medical":[1,11,229],"image":[2,12,114,155,186],"enhancement":[3,49,85,129,135,144,170,187,242],"(UMIE)":[4],"aims":[5],"to":[6,36,41,46,54,123,131,150,167,189,205],"transform":[7],"a":[8,14,65,88,148,164,181,201],"low-quality":[9],"(LQ)":[10],"into":[13,82,127,157],"high-quality":[15],"(HQ)":[16],"one":[17],"without":[18],"relying":[19],"on":[20,31,227],"paired":[21],"images":[22,193,217],"for":[23,184,196,223],"training.":[24],"While":[25],"most":[26],"existing":[27,75,236],"approaches":[28],"are":[29,34,121,255],"based":[30],"Pix2Pix/CycleGAN":[32],"and":[33,57,91,104,115,175,210,221,244,250],"effective":[35],"some":[37],"extent,":[38],"they":[39],"fail":[40],"explicitly":[42,116],"use":[43],"HQ":[44,80,105,113,125,154,159,216],"information":[45],"guide":[47,132,168],"the":[48,71,83,94,98,102,118,128,133,137,143,152,158,169,191,207,251],"process,":[50],"which":[51,120],"can":[52],"lead":[53],"undesired":[55],"artifacts":[56],"structural":[58],"distortions.":[59],"In":[60],"this":[61],"article,":[62],"we":[63,108,199],"propose":[64,163,200],"novel":[66],"UMIE":[67,95,208],"approach":[68],"that":[69,232],"avoids":[70],"above":[72],"limitation":[73],"of":[74,240],"methods":[76],"by":[77],"directly":[78],"encoding":[79],"cues":[81],"LQ":[84,103,134],"process":[86,171],"in":[87,238],"variational":[89,138],"fashion":[90],"thus":[92],"model":[93],"task":[96,209,246],"under":[97],"joint":[99],"distribution":[100],"between":[101],"domains.":[106],"Specifically,":[107],"extract":[109],"features":[110],"from":[111],"an":[112],"insert":[117],"features,":[119],"expected":[122],"encode":[124],"cues,":[126],"network":[130,145],"with":[136,147,172],"normalization":[139],"module.":[140],"We":[141,161],"train":[142],"adversarially":[146],"discriminator":[149],"ensure":[151],"generated":[153],"falls":[156],"domain.":[160],"further":[162],"content-aware":[165],"loss":[166],"wavelet-based":[173],"pixel-level":[174],"multiencoder-based":[176],"feature-level":[177],"constraints.":[178],"Additionally,":[179],"as":[180],"key":[182],"motivation":[183],"performing":[185],"is":[188],"make":[190],"enhanced":[192],"serve":[194],"better":[195],"downstream":[197,211,224,245],"tasks,":[198],"bi-level":[202],"learning":[203],"scheme":[204],"optimize":[206],"tasks":[212],"cooperatively,":[213],"helping":[214],"generate":[215],"both":[218,241],"visually":[219],"appealing":[220],"favorable":[222],"tasks.":[225],"Experiments":[226],"three":[228],"datasets":[230,254],"verify":[231],"our":[233],"method":[234],"outperforms":[235],"techniques":[237],"terms":[239],"quality":[243],"performance.":[247],"The":[248],"code":[249],"newly":[252],"collected":[253],"publicly":[256],"available":[257],"at":[258],"https://github.com/ChunmingHe/HQG-Net.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
