乐胖代购免代理版

{"id":"https://openalex.org/W2127862841","doi":"https://doi.org/10.1109/isbi.2013.6556397","title":"Model-based MR parameter mapping with sparsity constraint","display_name":"Model-based MR parameter mapping with sparsity constraint","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2127862841","doi":"https://doi.org/10.1109/isbi.2013.6556397","mag":"2127862841","pmid":"https://pubmed.ncbi.nlm.nih.gov/24443682","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/3892433"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://europepmc.org/articles/pmc3892433?pdf=render","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060182809","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0002-3475-8739"},"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":"Bo Zhao","raw_affiliation_strings":["Dept of Electr. & Comput. Engg, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Electr. & Comput. Engg, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"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":["Dept of Electr. & Comput. Engg, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Electr. & Comput. Engg, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077871090","display_name":"Wenmiao Lu","orcid":null},"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":"Wenmiao Lu","raw_affiliation_strings":["Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign Urbana IL USA"],"affiliations":[{"raw_affiliation_string":"Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign Urbana IL 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":["Dept of Electr. & Comput. Engg, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Electr. & Comput. Engg, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.789,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.629212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9999,"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":0.9999,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9996,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/sparsity-in-signal-processing","display_name":"Sparsity in Signal Processing","score":0.60375},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse Approximation","score":0.571681},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed Sensing","score":0.554853},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"Parameter Estimation","score":0.551241},{"id":"https://openalex.org/keywords/quantitative-susceptibility-mapping","display_name":"Quantitative Susceptibility Mapping","score":0.551093}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6903275},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.6292452},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.53955305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5391827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41847363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3924835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24235395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09148598},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc3892433","pdf_url":"https://europepmc.org/articles/pmc3892433?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892433","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24443682","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc3892433","pdf_url":"https://europepmc.org/articles/pmc3892433?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W2008257035","https://openalex.org/W2048273977","https://openalex.org/W2051151469","https://openalex.org/W2075358160","https://openalex.org/W2083346837","https://openalex.org/W2096581338","https://openalex.org/W2097522630","https://openalex.org/W2099766834","https://openalex.org/W2099801199","https://openalex.org/W2101675075","https://openalex.org/W2106967375","https://openalex.org/W2107191661","https://openalex.org/W2109515693","https://openalex.org/W2117406892","https://openalex.org/W2117546700","https://openalex.org/W2128203095","https://openalex.org/W2162029555","https://openalex.org/W2949383784","https://openalex.org/W2950038553","https://openalex.org/W3106540953","https://openalex.org/W4301014524"],"related_works":["https://openalex.org/W4399435637","https://openalex.org/W2905630886","https://openalex.org/W2810607982","https://openalex.org/W2612639608","https://openalex.org/W2069805373","https://openalex.org/W2066489961","https://openalex.org/W2042934151","https://openalex.org/W2023661646","https://openalex.org/W1998254728","https://openalex.org/W1987771408"],"abstract_inverted_index":{"MR":[0],"parameter":[1,49,65,92,125],"mapping":[2,50,111],"(e.g.,":[3],"T":[4,9,106],"1":[7],"mapping,":[8,13],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2":[12,18,109],"or":[14],"T*":[15],"mapping)":[19],"is":[20,86,97],"a":[21,46,60],"valuable":[22],"tool":[23],"for":[24,123],"tissue":[25],"characterization.":[26],"However,":[27],"its":[28],"practical":[29],"utility":[30],"has":[31],"been":[32],"limited":[33],"due":[34],"to":[35,88,115],"long":[36],"data":[37],"acquisition":[38],"time.":[39],"This":[40],"paper":[41],"addresses":[42],"this":[43],"problem":[44],"with":[45],"new":[47],"model-based":[48],"method,":[51],"which":[52],"utilizes":[53],"an":[54],"explicit":[55],"signal":[56],"model":[57],"and":[58],"imposes":[59],"sparsity":[61],"constraint":[62],"on":[63],"the":[64,74,90,117,120],"values.":[66],"The":[67],"proposed":[68,121],"method":[69,122],"enables":[70],"direct":[71],"estimation":[72,93],"of":[73,76,119],"parameters":[75],"interest":[77],"from":[78,105],"highly":[79],"undersampled,":[80],"noisy":[81],"k-space":[82],"data.":[83],"An":[84],"algorithm":[85],"presented":[87,114],"solve":[89],"underlying":[91],"problem.":[94],"Its":[95],"performance":[96,118],"analyzed":[98],"using":[99],"estimation-theoretic":[100],"bounds.":[101],"Some":[102],"representative":[103],"results":[104],"brain":[110],"are":[112],"also":[113],"illustrate":[116],"accelerating":[124],"mapping.":[126]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2127862841","counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2024-12-05T09:07:30.273828","created_date":"2016-06-24"}