{"id":"https://openalex.org/W4402915863","doi":"https://doi.org/10.1109/icip51287.2024.10647882","title":"A 1D Plug-and-Play Synthetic Data Deep Learning For Undersampled Magnetic Resonance Image Reconstruction","display_name":"A 1D Plug-and-Play Synthetic Data Deep Learning For Undersampled Magnetic Resonance Image Reconstruction","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402915863","doi":"https://doi.org/10.1109/icip51287.2024.10647882"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647882","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5101994781","display_name":"Min Xiao","orcid":"https://orcid.org/0000-0002-1551-6005"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Xiao","raw_affiliation_strings":["Institute of Artificial Intelligence, Xiamen University,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Xiamen University,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078821760","display_name":"Zi Wang","orcid":"https://orcid.org/0000-0001-8635-8334"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zi Wang","raw_affiliation_strings":["Xiamen University,Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance,Department of Electronic Science,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance,Department of Electronic Science,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043114210","display_name":"Jiefeng Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiefeng Guo","raw_affiliation_strings":["Xiamen University,Department of Microelectronics and Integrated Circuit,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Microelectronics and Integrated Circuit,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010785921","display_name":"Di Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Guo","raw_affiliation_strings":["Xiamen University of Technology,School of Computer and Information Engineering, Fujian Engineering Research Center for Medical Data Mining and Application,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University of Technology,School of Computer and Information Engineering, Fujian Engineering Research Center for Medical Data Mining and Application,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110952920","display_name":"Xiaobo Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Qu","raw_affiliation_strings":["Xiamen University,Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance,Department of Electronic Science,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance,Department of Electronic Science,Xiamen,China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101994781"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.4307,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66302644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2827","last_page":"2832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9218000173568726,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9218000173568726,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/plug-and-play","display_name":"Plug and play","score":0.6619074940681458},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5919559001922607},{"id":"https://openalex.org/keywords/plug-in","display_name":"Plug-in","score":0.5756840109825134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5316600799560547},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5093072652816772},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5004434585571289},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47488588094711304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45799878239631653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4174045920372009},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09903129935264587},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06325486302375793}],"concepts":[{"id":"https://openalex.org/C2780070844","wikidata":"https://www.wikidata.org/wiki/Q857815","display_name":"Plug and play","level":2,"score":0.6619074940681458},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5919559001922607},{"id":"https://openalex.org/C4924752","wikidata":"https://www.wikidata.org/wiki/Q184148","display_name":"Plug-in","level":2,"score":0.5756840109825134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5316600799560547},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5093072652816772},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5004434585571289},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47488588094711304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45799878239631653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4174045920372009},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09903129935264587},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06325486302375793},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647882","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2087416986","https://openalex.org/W2100556411","https://openalex.org/W2101675075","https://openalex.org/W2111388536","https://openalex.org/W2115723093","https://openalex.org/W2117406892","https://openalex.org/W2117539524","https://openalex.org/W2117649283","https://openalex.org/W2141168890","https://openalex.org/W2165142794","https://openalex.org/W2194775991","https://openalex.org/W2313758926","https://openalex.org/W2442117232","https://openalex.org/W2604388535","https://openalex.org/W2611467245","https://openalex.org/W2773850766","https://openalex.org/W2887411465","https://openalex.org/W2900756484","https://openalex.org/W2902719825","https://openalex.org/W2963334250","https://openalex.org/W2995582197","https://openalex.org/W2995799149","https://openalex.org/W2999778662","https://openalex.org/W3014756686","https://openalex.org/W3044508608","https://openalex.org/W3100730608","https://openalex.org/W3129082682","https://openalex.org/W3172319064","https://openalex.org/W3175574148","https://openalex.org/W3183777577","https://openalex.org/W3193289316","https://openalex.org/W3195892383","https://openalex.org/W4200635639","https://openalex.org/W4225647509","https://openalex.org/W4249760698","https://openalex.org/W4308233940","https://openalex.org/W4310825860","https://openalex.org/W4322490801","https://openalex.org/W4385292145","https://openalex.org/W4389118114","https://openalex.org/W4391547663","https://openalex.org/W4399187438","https://openalex.org/W6755625687","https://openalex.org/W6846777698","https://openalex.org/W6854933909"],"related_works":["https://openalex.org/W47352601","https://openalex.org/W2981957539","https://openalex.org/W4287378204","https://openalex.org/W2095769150","https://openalex.org/W2279095528","https://openalex.org/W2352394813","https://openalex.org/W2360042170","https://openalex.org/W2368465758","https://openalex.org/W2108894446","https://openalex.org/W4223592178"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2,19,22],"(MRI)":[3],"plays":[4],"a":[5,78,84,101,130],"pivotal":[6],"role":[7],"in":[8],"modern":[9],"medical":[10],"diagnosis":[11],"yet":[12],"is":[13,129],"often":[14],"hindered":[15],"by":[16],"the":[17,29,61,91,96,104,108,117,133],"long":[18],"time.":[20],"MRI":[21],"can":[23],"be":[24,34],"accelerated":[25],"through":[26],"undersampling,":[27],"but":[28],"introduced":[30],"aliasing":[31],"artifacts":[32],"should":[33],"removed":[35],"during":[36],"image":[37,46,125],"reconstruction.":[38,64],"While":[39],"deep":[40,86,93,109],"learning":[41],"reconstruction":[42,98,126,136],"methods":[43],"excel":[44],"at":[45,60],"de-aliasing,":[47],"they":[48],"may":[49],"yield":[50],"suboptimal":[51],"results":[52,114],"when":[53,127],"training":[54,80,134],"sampling":[55,69,145],"settings":[56],"differ":[57],"from":[58,67],"those":[59],"time":[62],"of":[63],"To":[65],"decouple":[66],"specific":[68],"settings,":[70,138],"we":[71],"propose":[72],"using":[73],"synthetic":[74],"data":[75],"to":[76],"generate":[77],"substantial":[79],"dataset":[81],"and":[82,122,135,144],"pre-train":[83],"1D":[85],"denoiser.":[87],"We":[88],"then":[89],"integrate":[90],"trained":[92],"denoiser":[94],"into":[95],"iterative":[97],"process":[99],"as":[100,140],"replacement":[102],"for":[103],"approximation":[105],"operator":[106],"within":[107],"plug-and-play":[110],"framework.":[111],"In":[112],"vivo":[113],"indicate":[115],"that":[116],"proposed":[118],"method":[119],"exhibits":[120],"robust":[121],"visually":[123],"appealing":[124],"there":[128],"mismatch":[131],"between":[132],"undersampling":[137,142],"such":[139],"different":[141],"patterns":[143],"rates.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}