{"id":"https://openalex.org/W2338760177","doi":"https://doi.org/10.1109/tmi.2016.2550204","title":"Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors","display_name":"Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors","publication_year":2016,"publication_date":"2016-04-12","ids":{"openalex":"https://openalex.org/W2338760177","doi":"https://doi.org/10.1109/tmi.2016.2550204","mag":"2338760177","pmid":"https://pubmed.ncbi.nlm.nih.gov/27093543"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2016.2550204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2550204","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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/5487008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058324035","display_name":"Jingfei He","orcid":"https://orcid.org/0000-0002-5792-4103"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfei He","raw_affiliation_strings":["Department of Electronic Information and Optical Engineering, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5792-4103","affiliations":[{"raw_affiliation_string":"Department of Electronic Information and Optical Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057647276","display_name":"Qiegen Liu","orcid":"https://orcid.org/0000-0003-4717-2283"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiegen Liu","raw_affiliation_strings":["Department of Electronic Information Engineering, Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Information Engineering, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104962456","display_name":"Anthony Christodoulou","orcid":"https://orcid.org/0000-0002-9334-8684"},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony G. Christodoulou","raw_affiliation_strings":["Cedars-Sinai Medical Center, Cedars-Sinai Heart Institute and Biomedical Imaging Research Institute, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Center, Cedars-Sinai Heart Institute and Biomedical Imaging Research Institute, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1282927834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062325991","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0002-2016-8084"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087356","display_name":"Gordon Center for Medical Imaging","ror":"https://ror.org/004y4rj95","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087356","https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["Department of Radiology, Harvard Medical School, Boston, MA, USA","Gordon Center for Medical Imaging, Massachusetts General Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Gordon Center for Medical Imaging, Massachusetts General Hospital","institution_ids":["https://openalex.org/I4210087356","https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085245155","display_name":"Fan Lam","orcid":"https://orcid.org/0000-0002-4124-0663"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Lam","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019294923","display_name":"Zhi\u2010Pei Liang","orcid":"https://orcid.org/0000-0003-4586-3056"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi-Pei Liang","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.1524,"has_fulltext":false,"cited_by_count":151,"citation_normalized_percentile":{"value":0.98877031,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"35","issue":"9","first_page":"2119","last_page":"2129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9976999759674072,"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":0.6155375242233276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.602379560470581},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5843844413757324},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.58323073387146},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5402241945266724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5274460911750793},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5254696607589722},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5216763019561768},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5164232850074768},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4710771143436432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42695847153663635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4239763915538788},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41736748814582825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31599152088165283}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6155375242233276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602379560470581},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5843844413757324},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.58323073387146},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5402241945266724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5274460911750793},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5254696607589722},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5216763019561768},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5164232850074768},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4710771143436432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42695847153663635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4239763915538788},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41736748814582825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31599152088165283},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2016.2550204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2550204","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:27093543","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27093543","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 medical imaging","raw_type":null},{"id":"pmh:oai:escholarship.org:ark:/13030/qt3js60830","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/3js60830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging, vol 35, iss 9","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5487008","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5487008","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 Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:5487008","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5487008","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 Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2543839925","display_name":null,"funder_award_id":"R21 EB021013","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G3045956542","display_name":null,"funder_award_id":"P41 EB002034","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7745882013","display_name":null,"funder_award_id":"R01 EB013695","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8563520074","display_name":null,"funder_award_id":"R21 EB021710","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8893786255","display_name":null,"funder_award_id":"R01 CA098575","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"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":65,"referenced_works":["https://openalex.org/W1508744047","https://openalex.org/W1519565561","https://openalex.org/W1539262087","https://openalex.org/W1765998458","https://openalex.org/W1823549342","https://openalex.org/W1878263927","https://openalex.org/W1933541558","https://openalex.org/W1959070854","https://openalex.org/W1963826206","https://openalex.org/W1965554091","https://openalex.org/W1970948570","https://openalex.org/W1971405799","https://openalex.org/W1974636210","https://openalex.org/W1979954835","https://openalex.org/W1982059935","https://openalex.org/W1982957837","https://openalex.org/W1986119538","https://openalex.org/W1997036511","https://openalex.org/W1999795676","https://openalex.org/W2000215628","https://openalex.org/W2008257035","https://openalex.org/W2012403501","https://openalex.org/W2013912476","https://openalex.org/W2019737946","https://openalex.org/W2024165284","https://openalex.org/W2028209420","https://openalex.org/W2061354873","https://openalex.org/W2068548513","https://openalex.org/W2073283474","https://openalex.org/W2090636411","https://openalex.org/W2091449379","https://openalex.org/W2097522630","https://openalex.org/W2101675075","https://openalex.org/W2103284121","https://openalex.org/W2107906890","https://openalex.org/W2108687351","https://openalex.org/W2113136548","https://openalex.org/W2115221929","https://openalex.org/W2117684699","https://openalex.org/W2117700900","https://openalex.org/W2118955505","https://openalex.org/W2123879018","https://openalex.org/W2129638195","https://openalex.org/W2129918728","https://openalex.org/W2132267493","https://openalex.org/W2142947426","https://openalex.org/W2144288697","https://openalex.org/W2145096794","https://openalex.org/W2148462611","https://openalex.org/W2149400409","https://openalex.org/W2149855549","https://openalex.org/W2154118014","https://openalex.org/W2156739854","https://openalex.org/W2168903001","https://openalex.org/W2188688029","https://openalex.org/W2296616510","https://openalex.org/W2762625016","https://openalex.org/W2963789209","https://openalex.org/W3106540953","https://openalex.org/W4250955649","https://openalex.org/W4285719527","https://openalex.org/W4388436028","https://openalex.org/W6632169650","https://openalex.org/W6676634215","https://openalex.org/W6687071887"],"related_works":["https://openalex.org/W2569661359","https://openalex.org/W2781510240","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2890370013","https://openalex.org/W2896778670"],"abstract_inverted_index":{"High-dimensional":[0],"MR":[1,25],"imaging":[2,26],"often":[3],"requires":[4],"long":[5],"data":[6,52,89,96],"acquisition":[7],"time,":[8],"thereby":[9],"limiting":[10],"its":[11],"practical":[12],"applications.":[13],"This":[14,30],"paper":[15],"presents":[16],"a":[17,98,106],"low-rank":[18,36],"tensor":[19,104],"based":[20],"method":[21,31,66,119,127],"for":[22,47,55,75,81],"accelerated":[23],"high-dimensional":[24,33],"using":[27,115],"sparse":[28,48],"sampling.":[29],"represents":[32],"images":[34],"as":[35],"tensors":[37],"(or":[38],"partially":[39],"separable":[40],"functions)":[41],"and":[42,54,78,105],"uses":[43],"this":[44],"mathematical":[45],"structure":[46],"sampling":[49,72],"of":[50,120,124],"the":[51,64,79,94,102,111,116,125],"space":[53],"image":[56,82,84],"reconstruction":[57,85],"from":[58,86],"highly":[59,87],"undersampled":[60,88],"data.":[61],"More":[62],"specifically,":[63],"proposed":[65,126],"acquires":[67],"two":[68],"datasets":[69],"with":[70,97],"complementary":[71],"patterns,":[73],"one":[74],"subspace":[76],"estimation":[77],"other":[80],"reconstruction;":[83],"is":[90,128],"accomplished":[91],"by":[92],"fitting":[93],"measured":[95],"sparsity":[99,108],"constraint":[100,109],"on":[101,110],"core":[103],"group":[107],"spatial":[112],"coefficients":[113],"jointly":[114],"alternating":[117],"direction":[118],"multipliers.":[121],"The":[122],"usefulness":[123],"demonstrated":[129],"in":[130],"MRI":[131],"applications;":[132],"it":[133],"may":[134],"also":[135],"have":[136],"applications":[137],"beyond":[138],"MRI.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
