{"id":"https://openalex.org/W3106180885","doi":"https://doi.org/10.1109/tnnls.2022.3153088","title":"Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain","display_name":"Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain","publication_year":2022,"publication_date":"2022-03-07","ids":{"openalex":"https://openalex.org/W3106180885","doi":"https://doi.org/10.1109/tnnls.2022.3153088","mag":"3106180885","pmid":"https://pubmed.ncbi.nlm.nih.gov/35254996"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3153088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3153088","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":null,"display_name":"Senrong You","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Senrong You","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Baiying Lei","orcid":"https://orcid.org/0000-0002-3087-2550"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiying Lei","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3087-2550","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuqiang Wang","orcid":"https://orcid.org/0000-0003-1119-320X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Wang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1119-320X","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Charles K. Chui","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Charles K. Chui","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Albert C. Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Albert C. Cheung","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-6739-621X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6739-621X","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Gan","orcid":"https://orcid.org/0000-0002-2756-0054"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Gan","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2756-0054","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guocheng Wu","orcid":"https://orcid.org/0000-0002-1946-6770"},"institutions":[{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guocheng Wu","raw_affiliation_strings":["Data Recovery Key Laboratory of Sichuan Province, College of Mathematics and Information Science, Neijiang Normal University, Neijiang, China"],"raw_orcid":"https://orcid.org/0000-0002-1946-6770","affiliations":[{"raw_affiliation_string":"Data Recovery Key Laboratory of Sichuan Province, College of Mathematics and Information Science, Neijiang Normal University, Neijiang, China","institution_ids":["https://openalex.org/I4210117337"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanyan Shen","orcid":"https://orcid.org/0000-0003-0639-2925"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Shen","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0639-2925","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":12.7552,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.99271073,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":"11","first_page":"8802","last_page":"8814"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.5690000057220459,"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":0.5690000057220459,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.3564000129699707,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.017100000753998756,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/wavelet","display_name":"Wavelet","score":0.6323000192642212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.59170001745224},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5860999822616577},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5443999767303467},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5260000228881836},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.47679999470710754},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4431999921798706},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4228000044822693}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.745199978351593},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6323000192642212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6284000277519226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.59170001745224},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5860999822616577},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5443999767303467},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5260000228881836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5218999981880188},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.47679999470710754},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3968999981880188},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3465000092983246},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.32739999890327454},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2881999909877777},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.27489998936653137},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2022.3153088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3153088","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:35254996","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35254996","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},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-117202","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-117202","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-117202","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-117202","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G274516234","display_name":null,"funder_award_id":"61872351","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5700624122","display_name":null,"funder_award_id":"XDB38040200","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6927566383","display_name":null,"funder_award_id":"62172403","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1885185971","https://openalex.org/W2008567145","https://openalex.org/W2078179989","https://openalex.org/W2099471712","https://openalex.org/W2133665775","https://openalex.org/W2134584543","https://openalex.org/W2146299228","https://openalex.org/W2242218935","https://openalex.org/W2537449812","https://openalex.org/W2550553598","https://openalex.org/W2551161082","https://openalex.org/W2560533888","https://openalex.org/W2572730214","https://openalex.org/W2595967805","https://openalex.org/W2607041014","https://openalex.org/W2620542280","https://openalex.org/W2741196023","https://openalex.org/W2747898905","https://openalex.org/W2752782242","https://openalex.org/W2776107444","https://openalex.org/W2777802649","https://openalex.org/W2780544323","https://openalex.org/W2800433434","https://openalex.org/W2802431269","https://openalex.org/W2807662734","https://openalex.org/W2808370801","https://openalex.org/W2866634454","https://openalex.org/W2884366600","https://openalex.org/W2890139949","https://openalex.org/W2891158090","https://openalex.org/W2895240252","https://openalex.org/W2908469802","https://openalex.org/W2953314066","https://openalex.org/W2953977469","https://openalex.org/W2963111219","https://openalex.org/W2963132934","https://openalex.org/W2963372104","https://openalex.org/W2963392702","https://openalex.org/W2963470893","https://openalex.org/W2963494934","https://openalex.org/W2963495494","https://openalex.org/W2963606198","https://openalex.org/W2964252316","https://openalex.org/W2964297772","https://openalex.org/W2966737464","https://openalex.org/W2970882063","https://openalex.org/W2976922789","https://openalex.org/W2979924375","https://openalex.org/W2983873691","https://openalex.org/W2994720379","https://openalex.org/W2995072672","https://openalex.org/W3006755272","https://openalex.org/W3010923242","https://openalex.org/W3011648454","https://openalex.org/W3016044763","https://openalex.org/W3020887200","https://openalex.org/W3034328879","https://openalex.org/W3034362507","https://openalex.org/W3037120822","https://openalex.org/W3107032263","https://openalex.org/W3109396053","https://openalex.org/W3135542706","https://openalex.org/W3137895856","https://openalex.org/W3181262642","https://openalex.org/W3194713134","https://openalex.org/W3207416200","https://openalex.org/W3215399882","https://openalex.org/W6631190155","https://openalex.org/W6752483423","https://openalex.org/W6754892616"],"related_works":["https://openalex.org/W1504288058","https://openalex.org/W1982584880","https://openalex.org/W2167293474","https://openalex.org/W2102575890","https://openalex.org/W2331674254","https://openalex.org/W2048505601","https://openalex.org/W2544359817","https://openalex.org/W2401036251","https://openalex.org/W2541950815","https://openalex.org/W2352640985"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"(MR)":[2],"imaging":[3,19],"plays":[4],"an":[5,83],"important":[6],"role":[7],"in":[8,95,159,197],"clinical":[9],"and":[10,23,69,77,90,141,166,178,184],"brain":[11],"exploration.":[12],"However,":[13],"limited":[14],"by":[15,153,192],"factors":[16],"such":[17],"as":[18],"hardware,":[20],"scanning":[21],"time,":[22],"cost,":[24],"it":[25],"is":[26,131,151],"challenging":[27],"to":[28,45,63,133],"acquire":[29],"high-resolution":[30],"MR":[31,49,74,84],"images":[32,50,75],"clinically.":[33],"In":[34,114,126],"this":[35],"article,":[36],"fine":[37],"perceptive":[38],"generative":[39,102],"adversarial":[40,103],"networks":[41],"(FP-GANs)":[42],"are":[43,61,120],"proposed":[44,172],"produce":[46],"super-resolution":[47],"(SR)":[48],"from":[51],"the":[52,57,66,96,110,128,136,145,148,164,171,180,190,194],"low-resolution":[53],"counterparts.":[54],"By":[55],"adopting":[56],"divide-and-conquer":[58],"scheme,":[59],"FP-GANs":[60,80,187],"designed":[62,132],"deal":[64],"with":[65],"low-frequency":[67],"(LF)":[68],"high-frequency":[70],"(HF)":[71],"components":[72],"of":[73,147],"separately":[76],"parallelly.":[78],"Specifically,":[79],"first":[81],"decompose":[82],"image":[85,150],"into":[86],"LF":[87],"global":[88,139],"approximation":[89],"HF":[91],"anatomical":[92],"texture":[93],"subbands":[94],"wavelet":[97,157],"domain.":[98],"Then,":[99],"each":[100],"subband":[101,112],"network":[104],"(GAN)":[105],"simultaneously":[106],"concentrates":[107],"on":[108,163],"super-resolving":[109],"corresponding":[111],"image.":[113],"generator,":[115],"multiple":[116],"residual-in-residual":[117],"dense":[118],"blocks":[119],"introduced":[121],"for":[122],"better":[123],"feature":[124],"extraction.":[125],"addition,":[127],"texture-enhancing":[129],"module":[130],"trade":[134],"off":[135],"weight":[137],"between":[138],"topology":[140],"detailed":[142],"textures.":[143],"Finally,":[144],"reconstruction":[146],"whole":[149],"considered":[152],"integrating":[154],"inverse":[155],"discrete":[156],"transformation":[158],"FP-GANs.":[160],"Comprehensive":[161],"experiments":[162],"MultiRes_7T":[165],"ADNI":[167],"datasets":[168],"demonstrate":[169],"that":[170],"model":[173],"achieves":[174],"finer":[175],"structure":[176],"recovery":[177],"outperforms":[179],"competing":[181],"methods":[182],"quantitatively":[183],"qualitatively.":[185],"Moreover,":[186],"further":[188],"show":[189],"value":[191],"applying":[193],"SR":[195],"results":[196],"classification":[198],"tasks.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":48},{"year":2022,"cited_by_count":18}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2020-11-23T00:00:00"}