{"id":"https://openalex.org/W2796177458","doi":"https://doi.org/10.1109/tbme.2018.2821699","title":"Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks","display_name":"Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks","publication_year":2018,"publication_date":"2018-04-02","ids":{"openalex":"https://openalex.org/W2796177458","doi":"https://doi.org/10.1109/tbme.2018.2821699","mag":"2796177458","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993390"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2018.2821699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2821699","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1804.00432","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dongwook Lee","orcid":"https://orcid.org/0000-0001-8657-5785"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dongwook Lee","raw_affiliation_strings":["Department of Bio and Brain Engineering, KAIST, (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8657-5785","affiliations":[{"raw_affiliation_string":"Department of Bio and Brain Engineering, KAIST, (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089933293","display_name":"Jaejun Yoo","orcid":"https://orcid.org/0000-0001-5252-9668"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaejun Yoo","raw_affiliation_strings":["Department of Bio and Brain Engineering, KAIST, (KAIST), Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bio and Brain Engineering, KAIST, (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025243354","display_name":"Sungho Tak","orcid":"https://orcid.org/0000-0002-3836-0082"},"institutions":[{"id":"https://openalex.org/I4210139925","display_name":"Korea Basic Science Institute","ror":"https://ror.org/0417sdw47","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210139925","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungho Tak","raw_affiliation_strings":["Bioimaging Research Team, Korea Basic Science Institute, Ochang, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3836-0082","affiliations":[{"raw_affiliation_string":"Bioimaging Research Team, Korea Basic Science Institute, Ochang, South Korea","institution_ids":["https://openalex.org/I4210139925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012644755","display_name":"Jong Chul Ye","orcid":"https://orcid.org/0000-0001-9763-9609"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Chul Ye","raw_affiliation_strings":["Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9763-9609","affiliations":[{"raw_affiliation_string":"Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":2.4046,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89109101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"65","issue":"9","first_page":"1985","last_page":"1995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9824000000953674,"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":0.9824000000953674,"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":0.00989999994635582,"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/T12603","display_name":"NMR spectroscopy and applications","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.8025261163711548},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7950462102890015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7335541844367981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.663766622543335},{"id":"https://openalex.org/keywords/magnitude","display_name":"Magnitude (astronomy)","score":0.6422135829925537},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5933177471160889},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5460666418075562},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.51948082447052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5102157592773438},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5031997561454773},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.461404025554657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.431123822927475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3725321888923645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21305322647094727},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.13996204733848572}],"concepts":[{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.8025261163711548},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7950462102890015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335541844367981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.663766622543335},{"id":"https://openalex.org/C126691448","wikidata":"https://www.wikidata.org/wiki/Q2028919","display_name":"Magnitude (astronomy)","level":2,"score":0.6422135829925537},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5933177471160889},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5460666418075562},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.51948082447052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5102157592773438},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5031997561454773},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.461404025554657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.431123822927475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3725321888923645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21305322647094727},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.13996204733848572},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1109/tbme.2018.2821699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2821699","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:29993390","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993390","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 bio-medical engineering","raw_type":null},{"id":"pmh:oai:arXiv.org:1804.00432","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.00432","pdf_url":"https://arxiv.org/pdf/1804.00432","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2796177458","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1804.00432","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/53573","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8329428","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"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":"doi:10.48550/arxiv.1804.00432","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1804.00432","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1804.00432","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.00432","pdf_url":"https://arxiv.org/pdf/1804.00432","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3047419089","display_name":null,"funder_award_id":"NRF-2016R1A2B3008104","funder_id":"https://openalex.org/F4320322348","funder_display_name":"Korea Science and Engineering Foundation"},{"id":"https://openalex.org/G4870726069","display_name":null,"funder_award_id":"NRF-2013M3A9B2076548","funder_id":"https://openalex.org/F4320322348","funder_display_name":"Korea Science and Engineering Foundation"}],"funders":[{"id":"https://openalex.org/F4320322348","display_name":"Korea Science and Engineering Foundation","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2796177458.pdf","grobid_xml":"https://content.openalex.org/works/W2796177458.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1497904071","https://openalex.org/W1963882359","https://openalex.org/W1999788007","https://openalex.org/W2029816571","https://openalex.org/W2047544187","https://openalex.org/W2111388536","https://openalex.org/W2127436071","https://openalex.org/W2132122471","https://openalex.org/W2133665775","https://openalex.org/W2150355110","https://openalex.org/W2158928439","https://openalex.org/W2194775991","https://openalex.org/W2226146394","https://openalex.org/W2242218935","https://openalex.org/W2280386000","https://openalex.org/W2442117232","https://openalex.org/W2508457857","https://openalex.org/W2542870090","https://openalex.org/W2562637781","https://openalex.org/W2574952845","https://openalex.org/W2604388535","https://openalex.org/W2617128058","https://openalex.org/W2618530766","https://openalex.org/W2743780012","https://openalex.org/W2757509933","https://openalex.org/W2777802649","https://openalex.org/W2962903101","https://openalex.org/W2963264220","https://openalex.org/W2963392702","https://openalex.org/W2963420272","https://openalex.org/W2963470893","https://openalex.org/W2963500592","https://openalex.org/W2964308363","https://openalex.org/W4229650096","https://openalex.org/W4249760698","https://openalex.org/W4250955649","https://openalex.org/W6602211262","https://openalex.org/W6631943919","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6701655646","https://openalex.org/W6726381175","https://openalex.org/W6729710357","https://openalex.org/W6738366440"],"related_works":["https://openalex.org/W2914760232","https://openalex.org/W2740695748","https://openalex.org/W2891784148","https://openalex.org/W2891378267","https://openalex.org/W2808261662","https://openalex.org/W2751748841","https://openalex.org/W3027023150","https://openalex.org/W2096432068","https://openalex.org/W2794991850","https://openalex.org/W2312952821","https://openalex.org/W3213580212","https://openalex.org/W2033162169","https://openalex.org/W2005956700","https://openalex.org/W2891067258","https://openalex.org/W2999584570","https://openalex.org/W2370458197","https://openalex.org/W1485082952","https://openalex.org/W2187562763","https://openalex.org/W3211406483","https://openalex.org/W2766649903"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Accelerated":[1],"magnetic":[2],"resonance":[3],"(MR)":[4],"image":[5,100],"acquisition":[6,141],"with":[7,106,152],"compressed":[8],"sensing":[9],"(CS)":[10],"and":[11,59,69,116,124,138],"parallel":[12,123],"imaging":[13,21],"is":[14],"a":[15,171],"powerful":[16],"method":[17],"to":[18,41,130],"reduce":[19],"MR":[20,176],"scan":[22],"time.":[23],"However,":[24],"many":[25],"reconstruction":[26,126,150,177],"algorithms":[27],"have":[28,170],"high":[29],"computational":[30,157],"costs.":[31],"To":[32],"address":[33],"this,":[34],"we":[35],"investigate":[36],"deep":[37,51,166],"residual":[38,52,146],"learning":[39,53,167],"networks":[40,54,61],"remove":[42,131],"aliasing":[43,109,119],"artifacts":[44],"from":[45],"artifact":[46],"corrupted":[47],"images.":[48],"METHODS:":[49],"The":[50,164],"are":[55,63,72,92],"composed":[56],"of":[57,154],"magnitude":[58,70,90,155],"phase":[60,68],"that":[62,143],"separately":[64],"trained.":[65],"If":[66],"both":[67],"information":[71],"available,":[73,93],"the":[74,94,111,118,144],"proposed":[75,95,112,145,165],"algorithm":[76,84],"can":[77],"work":[78],"as":[79,98],"an":[80,99],"iterative":[81],"k-space":[82],"interpolation":[83],"using":[85,136],"framelet":[86],"representation.":[87],"When":[88],"only":[89],"data":[91],"approach":[96],"works":[97],"domain":[101],"postprocessing":[102],"algorithm.":[103],"RESULTS:":[104],"Even":[105],"strong":[107],"coherent":[108],"artifacts,":[110,120],"network":[113,147],"successfully":[114],"learned":[115],"removed":[117],"whereas":[121],"current":[122],"CS":[125,161],"methods":[127],"were":[128],"unable":[129],"these":[132],"artifacts.":[133],"CONCLUSION:":[134],"Comparisons":[135],"single":[137],"multiple":[139],"coil":[140],"show":[142],"provides":[148],"good":[149],"results":[151,181],"orders":[153],"faster":[156],"time":[158],"than":[159],"existing":[160],"methods.":[162],"SIGNIFICANCE:":[163],"framework":[168],"may":[169],"great":[172],"potential":[173],"for":[174],"accelerated":[175],"by":[178],"generating":[179],"accurate":[180],"immediately.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
