{"id":"https://openalex.org/W3184007122","doi":"https://doi.org/10.1109/tmi.2021.3101616","title":"Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising","display_name":"Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising","publication_year":2021,"publication_date":"2021-07-30","ids":{"openalex":"https://openalex.org/W3184007122","doi":"https://doi.org/10.1109/tmi.2021.3101616","mag":"3184007122","pmid":"https://pubmed.ncbi.nlm.nih.gov/34329159"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3101616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3101616","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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":null,"display_name":"Xiong Zhang","orcid":"https://orcid.org/0000-0002-9214-396X"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiong Zhang","raw_affiliation_strings":["Taiyuan University of Science and Technology, Shanxi, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-9214-396X","affiliations":[{"raw_affiliation_string":"Taiyuan University of Science and Technology, Shanxi, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zefang Han","orcid":"https://orcid.org/0000-0002-4048-1297"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefang Han","raw_affiliation_strings":["Taiyuan University of Science and Technology, Shanxi, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4048-1297","affiliations":[{"raw_affiliation_string":"Taiyuan University of Science and Technology, Shanxi, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hong Shangguan","orcid":"https://orcid.org/0000-0002-9802-4494"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Shangguan","raw_affiliation_strings":["Taiyuan University of Science and Technology, Shanxi, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-9802-4494","affiliations":[{"raw_affiliation_string":"Taiyuan University of Science and Technology, Shanxi, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinglong Han","orcid":"https://orcid.org/0000-0002-3599-3394"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglong Han","raw_affiliation_strings":["Taiyuan University of Science and Technology, Shanxi, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-3599-3394","affiliations":[{"raw_affiliation_string":"Taiyuan University of Science and Technology, Shanxi, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xueying Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Cui","raw_affiliation_strings":["Taiyuan University of Science and Technology, Shanxi, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiyuan University of Science and Technology, Shanxi, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":null,"display_name":"Anhong Wang","orcid":"https://orcid.org/0000-0001-5413-0490"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anhong Wang","raw_affiliation_strings":["Taiyuan University of Science and Technology, Shanxi, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-5413-0490","affiliations":[{"raw_affiliation_string":"Taiyuan University of Science and Technology, Shanxi, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46305995"],"apc_list":null,"apc_paid":null,"fwci":4.272,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.9550816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"40","issue":"12","first_page":"3901","last_page":"3918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.6671000123023987,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.6671000123023987,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.10949999839067459,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.05889999866485596,"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/noise-reduction","display_name":"Noise reduction","score":0.7067000269889832},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6338000297546387},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5663999915122986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5486999750137329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5432000160217285},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5401999950408936},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4733999967575073},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.45879998803138733},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4472000002861023}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7372999787330627},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7067000269889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657000184059143},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6338000297546387},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5663999915122986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5432000160217285},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4659000039100647},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.45879998803138733},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4472000002861023},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4375},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3831000030040741},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3456000089645386},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3240000009536743},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2851000130176544},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.25839999318122864}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2021.3101616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3101616","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34329159","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34329159","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 medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2547316907","display_name":null,"funder_award_id":"62001321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3911455638","display_name":null,"funder_award_id":"201901D111261","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1966364402","https://openalex.org/W1973207880","https://openalex.org/W1979261386","https://openalex.org/W2037511378","https://openalex.org/W2041114617","https://openalex.org/W2042743306","https://openalex.org/W2046119925","https://openalex.org/W2122546849","https://openalex.org/W2142884793","https://openalex.org/W2171697262","https://openalex.org/W2469946482","https://openalex.org/W2565516711","https://openalex.org/W2570202822","https://openalex.org/W2584483805","https://openalex.org/W2593414223","https://openalex.org/W2617128058","https://openalex.org/W2743780012","https://openalex.org/W2748739903","https://openalex.org/W2787564202","https://openalex.org/W2899235874","https://openalex.org/W2963800716","https://openalex.org/W2964079075","https://openalex.org/W2968087827","https://openalex.org/W2972788736","https://openalex.org/W2997028110","https://openalex.org/W3003592301","https://openalex.org/W3085038231","https://openalex.org/W4296142362","https://openalex.org/W6631190155","https://openalex.org/W6679102414","https://openalex.org/W6729966448","https://openalex.org/W6735913928","https://openalex.org/W6737517745","https://openalex.org/W6748582592","https://openalex.org/W6779669310"],"related_works":[],"abstract_inverted_index":{"Generative":[0],"adversarial":[1,34,90],"networks":[2,37],"are":[3,117,181,212],"being":[4],"extensively":[5],"studied":[6],"for":[7,31,184],"low-dose":[8,47,233],"computed":[9,48,64,234],"tomography":[10,49,65,235],"denoising.":[11],"However,":[12],"due":[13],"to":[14,38,119,125,128,171,192,244],"the":[15,41,46,57,63,69,100,121,129,138,151,155,161,165,169,173,188,196,202,210,222,228,232,245],"similar":[16],"distribution":[17],"of":[18,24,62,137,168,176,187,198,209,231],"noise,":[19],"artifacts,":[20],"and":[21,43,59,67,86,107,111,131,134,150,206,215,237],"high-frequency":[22],"components":[23],"useful":[25],"tissue":[26],"images,":[27],"it":[28],"is":[29,96,148,157],"difficult":[30],"existing":[32],"generative":[33,89],"network-based":[35],"denoising":[36,54,82,122,189,207,224,240],"effectively":[39],"separate":[40],"artifacts":[42,106,132],"noise":[44,108,130],"in":[45,154,164],"images.":[50],"In":[51],"addition,":[52],"aggressive":[53],"may":[55],"damage":[56],"edge":[58,113,135],"structural":[60],"information":[61,230],"image":[66,71,170,236],"make":[68],"denoised":[70],"too":[72],"smooth.":[73],"To":[74],"solve":[75],"these":[76],"problems,":[77],"we":[78],"propose":[79],"a":[80,93,141],"novel":[81],"network":[83,190,211,225],"called":[84,144],"artifact":[85],"detail":[87],"attention":[88,109,115,127],"network.":[91],"First,":[92],"multi-channel":[94],"generator":[95],"proposed.":[97],"Based":[98],"on":[99],"main":[101],"feature":[102,114],"extraction":[103],"channel,":[104],"an":[105,112],"channel":[110,116],"added":[118],"improve":[120,172],"network's":[123],"ability":[124,175],"pay":[126],"features":[133,136,163],"image.":[139],"Additionally,":[140],"new":[142],"structure":[143],"multi-scale":[145,162],"Res2Net":[146],"discriminator":[147],"proposed,":[149],"receptive":[152],"field":[153],"module":[156],"expanded":[158],"by":[159],"extracting":[160],"same":[166],"scale":[167],"discriminative":[174],"discriminator.":[177],"The":[178],"loss":[179,200],"functions":[180],"specially":[182],"designed":[183],"each":[185],"sub-channel":[186],"corresponding":[191],"its":[193],"function.":[194],"Through":[195],"cooperation":[197],"multiple":[199],"functions,":[201],"convergence":[203],"speed,":[204],"stability,":[205],"effect":[208,241],"accelerated,":[213],"improved,":[214],"guaranteed,":[216],"respectively.":[217],"Experimental":[218],"results":[219],"show":[220],"that":[221],"proposed":[223],"can":[226],"preserve":[227],"important":[229],"achieve":[238],"better":[239],"when":[242],"compared":[243],"state-of-the-art":[246],"algorithms.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":10}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2021-08-02T00:00:00"}
