{"id":"https://openalex.org/W4293253204","doi":"https://doi.org/10.1109/tsp55681.2022.9851376","title":"A Plug-and-Play Deep Denoiser Prior Model for Accelerated MRI Reconstruction","display_name":"A Plug-and-Play Deep Denoiser Prior Model for Accelerated MRI Reconstruction","publication_year":2022,"publication_date":"2022-07-13","ids":{"openalex":"https://openalex.org/W4293253204","doi":"https://doi.org/10.1109/tsp55681.2022.9851376"},"language":"en","primary_location":{"id":"doi:10.1109/tsp55681.2022.9851376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp55681.2022.9851376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 45th International Conference on Telecommunications and Signal Processing (TSP)","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/A5076386531","display_name":"Hasan H. Karao\u011flu","orcid":"https://orcid.org/0000-0002-2695-0288"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hasan H. Karaoglu","raw_affiliation_strings":["Istanbul Technical University,Electronics and Communication Engineering Department,Istanbul,Turkey","Electronics and Communication Engineering Department, Istanbul Technical University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Electronics and Communication Engineering Department,Istanbul,Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Electronics and Communication Engineering Department, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047214353","display_name":"Ender M. Ek\u015fio\u011flu","orcid":"https://orcid.org/0000-0002-7869-4159"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ender M. Eksioglu","raw_affiliation_strings":["Istanbul Technical University,Electronics and Communication Engineering Department,Istanbul,Turkey","Electronics and Communication Engineering Department, Istanbul Technical University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University,Electronics and Communication Engineering Department,Istanbul,Turkey","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Electronics and Communication Engineering Department, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":0.7359,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69630894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":1.0,"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":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994000196456909,"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7699509859085083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7150205373764038},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6652207374572754},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6180969476699829},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6164118647575378},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6075701713562012},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.5924800634384155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5921199321746826},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5835915803909302},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.48812469840049744},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4295256733894348},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.42796677350997925},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.41432735323905945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4047587811946869},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3894336223602295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3481009006500244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12431105971336365},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11968749761581421}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7699509859085083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150205373764038},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6652207374572754},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6180969476699829},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6164118647575378},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6075701713562012},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.5924800634384155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5921199321746826},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5835915803909302},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.48812469840049744},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4295256733894348},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.42796677350997925},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.41432735323905945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4047587811946869},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3894336223602295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3481009006500244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12431105971336365},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11968749761581421},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp55681.2022.9851376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp55681.2022.9851376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 45th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5745514716","display_name":"G\u00f6r\u00fcnt\u00fc \u0130\u015fleme Ters Problemlerinde Derin \u00d6\u011frenme","funder_award_id":"119E248","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1963882359","https://openalex.org/W2087416986","https://openalex.org/W2100522270","https://openalex.org/W2101675075","https://openalex.org/W2141168890","https://openalex.org/W2304034118","https://openalex.org/W2552808051","https://openalex.org/W2559655401","https://openalex.org/W2613155248","https://openalex.org/W2751646824","https://openalex.org/W2778924750","https://openalex.org/W2950936580","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W2896778670","https://openalex.org/W2339684922","https://openalex.org/W1979782214","https://openalex.org/W36742526","https://openalex.org/W2107386309","https://openalex.org/W2030107647","https://openalex.org/W2545869789","https://openalex.org/W2141090006","https://openalex.org/W2944761405","https://openalex.org/W1964555484"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2,11],"(MRI)":[3],"reconstruction":[4,27,51,76,139],"is":[5,72,78],"one":[6],"of":[7,65],"the":[8,14,34,59,70,103,127,134,153],"important":[9,145],"inverse":[10,104],"problems.":[12],"Unlike":[13],"classical":[15],"MRI":[16,31,85],"approaches":[17],"which":[18],"demand":[19],"long":[20,50],"scanning":[21],"time":[22,52,64,77],"and":[23,39,147],"are":[24],"prone":[25],"to":[26,53,82,101,143],"artifacts,":[28],"compressed":[29],"sensing":[30],"(CS-MRI)":[32],"generates":[33],"scans":[35],"data":[36],"relatively":[37],"faster":[38],"produces":[40],"less":[41],"artifacts":[42],"for":[43,69,126],"medical":[44],"diagnosis.":[45],"Model-based":[46],"CS-MRI":[47,128],"algorithms":[48],"require":[49],"obtain":[54],"an":[55,115],"MR":[56],"image.":[57],"On":[58],"other":[60],"hand,":[61],"although":[62],"training":[63],"deep":[66,96,148],"learning":[67,149],"techniques":[68],"task":[71],"rather":[73],"long,":[74],"their":[75],"much":[79],"shorter":[80],"compared":[81,142],"iterative":[83,116],"model-based":[84,146],"algorithms.":[86],"Moreover,":[87],"recent":[88],"works":[89],"have":[90],"shown":[91],"that":[92,133],"Gaussian":[93,121],"denoisers":[94,97],"including":[95],"can":[98],"be":[99],"utilized":[100],"solve":[102],"problems":[105],"in":[106],"a":[107,124],"plug-and-play":[108],"fashion.":[109],"In":[110],"this":[111],"paper,":[112],"we":[113],"propose":[114],"convolutional":[117],"neural":[118],"network":[119],"based":[120,150],"denoiser":[122],"as":[123],"solver":[125],"problem.":[129],"Our":[130],"experiments":[131],"show":[132],"proposed":[135],"method":[136],"has":[137],"better":[138],"ability":[140],"when":[141],"some":[144],"methods":[151],"from":[152],"literature.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
