{"id":"https://openalex.org/W4200017266","doi":"https://doi.org/10.1109/embc46164.2021.9629600","title":"Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content","display_name":"Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200017266","doi":"https://doi.org/10.1109/embc46164.2021.9629600","pmid":"https://pubmed.ncbi.nlm.nih.gov/34891804"},"language":"en","primary_location":{"id":"doi:10.1109/embc46164.2021.9629600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629600","pdf_url":"https://ieeexplore.ieee.org/ielx7/9629355/9629471/09629600.pdf","source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/9629355/9629471/09629600.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Koen C. Kusters","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Koen C. Kusters","raw_affiliation_strings":["Faculty of Electrical Engineering, Eindhoven Univ. of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Eindhoven Univ. of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034708744","display_name":"Luis A. Zavala-Mondrag\u00f3n","orcid":"https://orcid.org/0000-0002-4469-8362"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Luis A. Zavala-Mondragon","raw_affiliation_strings":["Faculty of Electrical Engineering, Eindhoven Univ. of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Eindhoven Univ. of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111985276","display_name":"Javier Oliv\u00e1n Besc\u00f3s","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Javier Olivan Bescos","raw_affiliation_strings":["Philips Healthcare, Best, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Healthcare, Best, The Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002344694","display_name":"Peter Rongen","orcid":"https://orcid.org/0000-0002-8322-7467"},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter Rongen","raw_affiliation_strings":["Philips Healthcare, Best, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Healthcare, Best, The Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029008213","display_name":"Peter H. N. de With","orcid":"https://orcid.org/0000-0002-7639-7716"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter H.N. de With","raw_affiliation_strings":["Faculty of Electrical Engineering, Eindhoven Univ. of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Eindhoven Univ. of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075677746","display_name":"Fons van der Sommen","orcid":"https://orcid.org/0000-0002-3593-2356"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Fons van der Sommen","raw_affiliation_strings":["Faculty of Electrical Engineering, Eindhoven Univ. of Technology, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Eindhoven Univ. of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.908,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68735806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"36","issue":null,"first_page":"2682","last_page":"2687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9983999729156494,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9961000084877014,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9909999966621399,"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/computer-science","display_name":"Computer science","score":0.684701681137085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6489505767822266},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5848985910415649},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5570722222328186},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5367739200592041},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.48860985040664673},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46053364872932434},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.458124041557312},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45292675495147705},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44417908787727356},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4402990937232971},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43061190843582153},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42413896322250366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3926117718219757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684701681137085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6489505767822266},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5848985910415649},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5570722222328186},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5367739200592041},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.48860985040664673},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46053364872932434},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.458124041557312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45292675495147705},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44417908787727356},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4402990937232971},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43061190843582153},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42413896322250366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3926117718219757}],"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":"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":"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":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","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":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":4,"locations":[{"id":"doi:10.1109/embc46164.2021.9629600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629600","pdf_url":"https://ieeexplore.ieee.org/ielx7/9629355/9629471/09629600.pdf","source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:34891804","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34891804","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/dc6a5107-db76-4deb-8e93-168e88697fce","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/dc6a5107-db76-4deb-8e93-168e88697fce","pdf_url":"https://pure.tue.nl/ws/files/192166026/Official_IEEEXplore_EMBC21_Proceeding.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kusters, K C, Zavala Mondragon, L A, Oliv\u00e1n Besc\u00f3s, J, Rongen, P M J, de With, P H N & van der Sommen, F 2021, Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content. in Proceedings of IEEE Engineering in Medicine & Biology Society (EMBC)., 9629600, Institute of Electrical and Electronics Engineers, pp. 2682-2687, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 , Mexico, 1/11/21. https://doi.org/10.1109/EMBC46164.2021.9629600","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/dc6a5107-db76-4deb-8e93-168e88697fce","is_oa":true,"landing_page_url":"https://research.tue.nl/nl/publications/dc6a5107-db76-4deb-8e93-168e88697fce","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of IEEE Engineering in Medicine & Biology Society (EMBC), 2682 - 2687","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"doi:10.1109/embc46164.2021.9629600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629600","pdf_url":"https://ieeexplore.ieee.org/ielx7/9629355/9629471/09629600.pdf","source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G4593765863","display_name":null,"funder_award_id":"EB017095","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7048746577","display_name":null,"funder_award_id":"EB017185","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8319371632","display_name":null,"funder_award_id":"780026","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200017266.pdf","grobid_xml":"https://content.openalex.org/works/W4200017266.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1999320095","https://openalex.org/W2047169513","https://openalex.org/W2083927153","https://openalex.org/W2119259145","https://openalex.org/W2167403983","https://openalex.org/W2171697262","https://openalex.org/W2584483805","https://openalex.org/W2617128058","https://openalex.org/W2743780012","https://openalex.org/W2754956769","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W3103645830","https://openalex.org/W4298289240","https://openalex.org/W6637568146","https://openalex.org/W6729966448","https://openalex.org/W6742825008","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W2888032422","https://openalex.org/W4380551139","https://openalex.org/W2996316059","https://openalex.org/W2280377497","https://openalex.org/W4387506531","https://openalex.org/W3174044702","https://openalex.org/W3178813832","https://openalex.org/W4238433571"],"abstract_inverted_index":{"X-ray":[0],"Computed":[1],"Tomography":[2],"(CT)":[3],"is":[4],"an":[5,29],"imaging":[6],"modality":[7],"where":[8],"patients":[9],"are":[10,23,42,122,177],"exposed":[11],"to":[12,28,54,63,73,88,97,104,108,124,147],"potentially":[13],"harmful":[14],"ionizing":[15],"radiation.":[16],"To":[17],"limit":[18,105],"patient":[19],"risk,":[20],"reduced-dose":[21],"protocols":[22],"desirable,":[24],"which":[25],"inherently":[26],"lead":[27],"increased":[30],"noise":[31,39,229],"level":[32],"in":[33,44,102,135,155],"the":[34,45,94,99,106,119,129,148,152,171,186,192,198],"reconstructed":[35],"CT":[36,65,234],"scans.":[37],"Consequently,":[38],"reduction":[40,230],"algorithms":[41],"indispensable":[43],"reconstruction":[46],"processing":[47],"chain.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,86],"propose":[53,87],"leverage":[55],"a":[56,90,125,136,181,225],"conditional":[57],"Generative":[58],"Adversarial":[59],"Networks":[60],"(cGAN)":[61],"model,":[62,101],"translate":[64],"images":[66],"from":[67],"low-to-routine":[68],"dose.":[69],"However,":[70],"when":[71],"aiming":[72],"produce":[74],"realistic":[75],"images,":[76],"such":[77],"generative":[78,221],"models":[79,222],"may":[80],"alter":[81],"critical":[82],"image":[83,200],"content.":[84],"Therefore,":[85],"employ":[89],"frequency-based":[91],"separation":[92],"of":[93,118,157,159,163,185,194,220],"input":[95,199],"prior":[96],"applying":[98],"cGAN":[100,107,130,153],"order":[103],"high-frequency":[109],"bands,":[110],"while":[111],"leaving":[112],"low-frequency":[113],"bands":[114],"untouched.":[115],"The":[116,139,188],"results":[117,145,190,216],"proposed":[120,140],"method":[121,141],"compared":[123,146],"state-of-the-art":[126],"model":[127,131,150,154],"within":[128],"as":[132,134],"well":[133],"single-network":[137,149],"setting.":[138],"generates":[142],"visually":[143],"superior":[144],"and":[151,161,174,196,203],"terms":[156],"quality":[158],"texture":[160],"preservation":[162],"fine":[164],"structural":[165],"details.":[166],"It":[167],"also":[168],"appeared":[169],"that":[170],"PSNR,":[172],"SSIM":[173],"TV":[175],"metrics":[176],"less":[178],"important":[179],"than":[180,207],"careful":[182],"visual":[183],"evaluation":[184],"results.":[187],"obtained":[189],"demonstrate":[191],"relevance":[193],"defining":[195],"separating":[197],"into":[201],"desired":[202],"undesired":[204],"content,":[205],"rather":[206],"blindly":[208],"denoising":[209],"entire":[210],"images.":[211],"This":[212],"study":[213],"shows":[214],"promising":[215],"for":[217,232],"further":[218],"investigation":[219],"towards":[223],"finding":[224],"reliable":[226],"deep":[227],"learning-based":[228],"algorithm":[231],"low-dose":[233],"acquisition.":[235]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}