{"id":"https://openalex.org/W2556276809","doi":"https://doi.org/10.1109/ijcnn.2016.7727638","title":"A new parallel MRI image reconstruction model with elastic net regularization","display_name":"A new parallel MRI image reconstruction model with elastic net regularization","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2556276809","doi":"https://doi.org/10.1109/ijcnn.2016.7727638","mag":"2556276809"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5091383092","display_name":"Bingjiang Qiu","orcid":"https://orcid.org/0000-0002-3962-7535"},"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":true,"raw_author_name":"Bing-Jiang Qiu","raw_affiliation_strings":["College of Mathematics and Statistics, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765901","display_name":"Wen-Sheng Chen","orcid":"https://orcid.org/0000-0001-8282-9960"},"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":"Wen-Sheng Chen","raw_affiliation_strings":["Shenzhen Key Laboratory of Media Security, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Media Security, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427422","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0003-2970-4813"},"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":"Bo Chen","raw_affiliation_strings":["Shenzhen University, Shenzhen, Guangdong, CN"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, Guangdong, CN","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028877617","display_name":"Binbin Pan","orcid":"https://orcid.org/0000-0003-2413-7629"},"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":"Bin-Bin Pan","raw_affiliation_strings":["Shenzhen Key Laboratory of Media Security, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Media Security, Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091383092"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12644928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"3426","last_page":"3432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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":0.9990000128746033,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.8358829021453857},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.827178955078125},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7060786485671997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5968896150588989},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.5288661122322083},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5271524786949158},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5120844841003418},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4422683119773865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43644025921821594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42499756813049316},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4233860969543457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39885592460632324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3395829200744629},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2285788357257843},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.05945467948913574}],"concepts":[{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.8358829021453857},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.827178955078125},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7060786485671997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968896150588989},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.5288661122322083},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5271524786949158},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5120844841003418},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4422683119773865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43644025921821594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42499756813049316},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4233860969543457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39885592460632324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3395829200744629},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2285788357257843},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.05945467948913574},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1992989309","https://openalex.org/W2002712188","https://openalex.org/W2003486710","https://openalex.org/W2013816305","https://openalex.org/W2047544187","https://openalex.org/W2055151182","https://openalex.org/W2064556594","https://openalex.org/W2082580315","https://openalex.org/W2094438648","https://openalex.org/W2107882641","https://openalex.org/W2111388536","https://openalex.org/W2122825543","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142808775","https://openalex.org/W2160820770","https://openalex.org/W2161907179","https://openalex.org/W2167233877","https://openalex.org/W2168477939","https://openalex.org/W2168887049","https://openalex.org/W2246694806","https://openalex.org/W4233764193","https://openalex.org/W4249760698","https://openalex.org/W4292363360","https://openalex.org/W4300223101","https://openalex.org/W6678353954","https://openalex.org/W7000791799"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W1605636162","https://openalex.org/W2344001031","https://openalex.org/W115921559","https://openalex.org/W2756378021","https://openalex.org/W4292601995","https://openalex.org/W4251498050","https://openalex.org/W2890366747","https://openalex.org/W2037789795","https://openalex.org/W2613828789"],"abstract_inverted_index":{"It":[0],"is":[1,36,42,56,86],"known":[2],"that":[3,83],"lots":[4],"of":[5,45,63],"MRI":[6,24,52],"imaging":[7,25,53],"reconstruction":[8,26,54,75],"approaches":[9],"usually":[10],"encounter":[11],"ill-posed":[12],"problem.":[13],"To":[14],"address":[15],"this":[16],"problem,":[17],"we":[18],"propose":[19],"a":[20,28,43],"novel":[21],"method":[22,62,85],"for":[23,73],"via":[27],"new":[29],"regularization":[30,34],"constraint":[31],"term.":[32],"The":[33,50],"term":[35],"inspired":[37],"by":[38],"elastic":[39,46],"net":[40,47],"and":[41,48,88],"combination":[44],"total-variation(TV).":[49],"proposed":[51],"model":[55],"solved":[57],"using":[58],"the":[59,91],"alternating":[60],"direction":[61],"multipliers(ADMM).":[64],"In":[65],"addition,":[66],"our":[67,84],"approach":[68],"also":[69],"achieves":[70],"good":[71],"performance":[72],"image":[74,78],"under":[76],"noised":[77],"situation.":[79],"Experimental":[80],"results":[81],"show":[82],"effective":[87],"superior":[89],"to":[90],"traditional":[92],"methods.":[93]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}