{"id":"https://openalex.org/W2998853723","doi":"https://doi.org/10.1109/msp.2019.2953993","title":"Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]","display_name":"Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2998853723","doi":"https://doi.org/10.1109/msp.2019.2953993","mag":"2998853723","pmid":"https://pubmed.ncbi.nlm.nih.gov/33623355"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2019.2953993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2019.2953993","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7899158","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072299998","display_name":"Mathews Jacob","orcid":"https://orcid.org/0000-0001-6196-3933"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Mathews Jacob","raw_affiliation_strings":["University of Iowa, Iowa City","Biomedical Imaging Group, ETH Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"Biomedical Imaging Group, ETH Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","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"]},{"id":"https://openalex.org/I4210124601","display_name":"Department of Mathematical Sciences","ror":"https://ror.org/02xkdev90","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210124601"]},{"id":"https://openalex.org/I4210158432","display_name":"National Institute for Mathematical Sciences","ror":"https://ror.org/04n7py080","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210158432"]}],"countries":["KR","RU"],"is_corresponding":false,"raw_author_name":"Jong Chul Ye","raw_affiliation_strings":["Department of Mathematical Sciences at the Korea Advanced Institute of Science and Technology, Daejeon, South Korea","Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences at the Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424","https://openalex.org/I4210124601","https://openalex.org/I4210158432"]},{"raw_affiliation_string":"Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075561442","display_name":"Leslie Ying","orcid":"https://orcid.org/0000-0001-9801-1362"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leslie Ying","raw_affiliation_strings":["University at Buffalo, State University of New York","Biomedical engineering and electrical engineering, State University of New York, Buffalo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo, State University of New York","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Biomedical engineering and electrical engineering, State University of New York, Buffalo","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086133730","display_name":"Mariya Doneva","orcid":"https://orcid.org/0000-0003-0292-5069"},"institutions":[{"id":"https://openalex.org/I4210133649","display_name":"Philips (India)","ror":"https://ror.org/0435vfk93","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210133649"]},{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE","IN"],"is_corresponding":false,"raw_author_name":"Mariya Doneva","raw_affiliation_strings":["Philips Research","Physics, University of L\u00fcbeck, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0292-5069","affiliations":[{"raw_affiliation_string":"Philips Research","institution_ids":["https://openalex.org/I4210133649"]},{"raw_affiliation_string":"Physics, University of L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]}],"institutions":[],"countries_distinct_count":6,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2978,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.90422311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"37","issue":"1","first_page":"21","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9650999903678894,"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":0.9650999903678894,"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/computer-science","display_name":"Computer science","score":0.7921923398971558},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7033602595329285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5827503204345703},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5160219669342041},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4860003888607025},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.46840211749076843},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4602048099040985},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44168925285339355},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.42867594957351685},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.4130845069885254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.371307373046875},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3534550070762634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3430865406990051},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30726709961891174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921923398971558},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7033602595329285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5827503204345703},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5160219669342041},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4860003888607025},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.46840211749076843},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4602048099040985},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44168925285339355},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.42867594957351685},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.4130845069885254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.371307373046875},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3534550070762634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3430865406990051},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30726709961891174},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/msp.2019.2953993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2019.2953993","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"},{"id":"pmid:33623355","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33623355","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 signal processing magazine","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7899158","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7899158","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Process Mag","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7899158","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7899158","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Process Mag","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G6990257515","display_name":null,"funder_award_id":"R01 EB019961","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2045290890","https://openalex.org/W2511733843","https://openalex.org/W2952512863","https://openalex.org/W3134504629","https://openalex.org/W2938696877","https://openalex.org/W4323911413","https://openalex.org/W1982536061","https://openalex.org/W4210631502","https://openalex.org/W4286796787","https://openalex.org/W2952582877"],"abstract_inverted_index":{"The":[0,180],"articles":[1,181],"in":[2,20,45,84,102,123,139,196],"this":[3,124],"special":[4,125],"section":[5],"focus":[6],"on":[7,42,149],"computational":[8,21,30,136],"magnetic":[9],"resonance":[10],"imaging":[11,31],"(MRI)":[12],"using":[13],"compressed":[14],"sensing":[15],"applications.":[16],"Presents":[17],"recent":[18,53,168],"developments":[19,24],"MRI.":[22,140],"These":[23,66,141],"are":[25,69,121],"pushing":[26],"the":[27,51,56,79,82,135,161,165,185,188],"frontier":[28],"of":[29,38,81,87,106,117,127,187],"beyond":[32],"CS.":[33],"Similar":[34],"to":[35,62,76,154,164,167],"CS,":[36],"most":[37],"these":[39],"algorithms":[40,146,158],"rely":[41,148],"image":[43,60,64,162],"representation":[44,163,176],"one":[46],"form":[47],"or":[48,152,156],"another.":[49],"However,":[50],"common":[52],"thread":[54],"is":[55],"departure":[57],"from":[58,110,144,177],"handcrafted":[59],"representations":[61,68],"learning-based":[63],"representations.":[65],"learned":[67],"seamlessly":[70],"combined":[71],"with":[72],"clever":[73],"measurement":[74,105,116],"strategies":[75],"significantly":[77,93],"advance":[78],"state":[80],"art":[83],"a":[85,99,173],"number":[86],"areas.":[88],"Several":[89],"exciting":[90],"applications":[91],"including":[92],"improved":[94],"spatial":[95],"and":[96,114,193],"temporal":[97],"resolution,":[98],"considerable":[100],"reduction":[101],"scan":[103],"time,":[104],"biophysical":[107],"parameters":[108],"directly":[109],"highly":[111,174],"undersampled":[112],"data,":[113],"direct":[115],"very":[118],"high-dimensional":[119],"data":[120,166],"reviewed":[122],"issue":[126,130],"SPM.":[128],"This":[129],"describes":[131],"key":[132],"ideas":[133],"underlying":[134],"approaches":[137,142],"used":[138],"range":[143],"CS":[145],"that":[147,159,171],"fixed":[150],"transforms":[151],"dictionaries,":[153],"adaptive":[155],"shallow-learning":[157],"adapt":[160],"deep-learning":[169],"methods":[170],"learn":[172],"nonlinear":[175],"exemplar":[178],"data.":[179],"provide":[182],"insight":[183],"into":[184],"capabilities":[186],"current":[189],"algorithms,":[190],"their":[191,194],"limitations,":[192],"utility":[195],"challenging":[197],"MRI":[198],"problems.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2020-01-23T00:00:00"}