{"id":"https://openalex.org/W2432884336","doi":"https://doi.org/10.1109/isbi.2016.7493319","title":"Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding","display_name":"Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2432884336","doi":"https://doi.org/10.1109/isbi.2016.7493319","mag":"2432884336","pmid":"https://pubmed.ncbi.nlm.nih.gov/31709030"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5011642304","display_name":"Ukash Nakarmi","orcid":"https://orcid.org/0000-0002-5351-3956"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ukash Nakarmi","raw_affiliation_strings":["Dept. of Electrical Engineering University at Buffalo, State University of New York","Dept. of Electrical Engineering, State University of New York"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering University at Buffalo, State University of New York","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electrical Engineering, State University of New York","institution_ids":["https://openalex.org/I1327163397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010510025","display_name":"Yihang Zhou","orcid":"https://orcid.org/0000-0001-6354-1259"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yihang Zhou","raw_affiliation_strings":["Dept. of Electrical Engineering University at Buffalo, State University of New York","Dept. of Electrical Engineering, State University of New York"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering University at Buffalo, State University of New York","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electrical Engineering, State University of New York","institution_ids":["https://openalex.org/I1327163397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046260287","display_name":"Jingyuan Lyu","orcid":"https://orcid.org/0000-0002-1873-8869"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyuan Lyu","raw_affiliation_strings":["Dept. of Electrical Engineering University at Buffalo, State University of New York","Dept. of Electrical Engineering, State University of New York"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering University at Buffalo, State University of New York","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electrical Engineering, State University of New York","institution_ids":["https://openalex.org/I1327163397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042922973","display_name":"Konstantinos Slavakis","orcid":"https://orcid.org/0000-0002-3370-3154"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantinos Slavakis","raw_affiliation_strings":["Dept. of Electrical Engineering University at Buffalo, State University of New York","Dept. of Electrical Engineering, State University of New York"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering University at Buffalo, State University of New York","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electrical Engineering, State University of New York","institution_ids":["https://openalex.org/I1327163397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075561442","display_name":"Leslie Ying","orcid":"https://orcid.org/0000-0001-9801-1362"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leslie Ying","raw_affiliation_strings":["Dept. of Biomedical Engineering, University at Buffalo, State University of New York","Dept. of Electrical Engineering University at Buffalo, State University of New York","Dept. of Biomedical Engineering, State University of New York"],"affiliations":[{"raw_affiliation_string":"Dept. of Biomedical Engineering, University at Buffalo, State University of New York","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electrical Engineering University at Buffalo, State University of New York","institution_ids":[]},{"raw_affiliation_string":"Dept. of Biomedical Engineering, State University of New York","institution_ids":["https://openalex.org/I1327163397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011642304"],"corresponding_institution_ids":["https://openalex.org/I1327163397"],"apc_list":null,"apc_paid":null,"fwci":1.5198,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80567448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2016","issue":null,"first_page":"510","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6531683802604675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6350290775299072},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5825847387313843},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5629061460494995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5212798118591309},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5153371691703796},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4792385399341583},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4425816833972931},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4307863712310791},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4284456670284271},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32435178756713867},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.3096184730529785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20428624749183655},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08836328983306885}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6531683802604675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350290775299072},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5825847387313843},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5629061460494995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5212798118591309},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5153371691703796},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4792385399341583},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4425816833972931},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4307863712310791},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4284456670284271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32435178756713867},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3096184730529785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20428624749183655},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08836328983306885},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2016.7493319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:31709030","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31709030","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":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:europepmc.org:5803983","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6839784","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1587559447","https://openalex.org/W1606951589","https://openalex.org/W1927762903","https://openalex.org/W2008257035","https://openalex.org/W2053313273","https://openalex.org/W2056775112","https://openalex.org/W2075358160","https://openalex.org/W2089173745","https://openalex.org/W2095865158","https://openalex.org/W2101161912","https://openalex.org/W2105732805","https://openalex.org/W2115429828","https://openalex.org/W2117882039","https://openalex.org/W2128659236","https://openalex.org/W2142058898","https://openalex.org/W2146420155","https://openalex.org/W2149855549","https://openalex.org/W2149861038","https://openalex.org/W2151235197","https://openalex.org/W2156739854","https://openalex.org/W2160547390","https://openalex.org/W2168668658","https://openalex.org/W2291260727","https://openalex.org/W2331176748","https://openalex.org/W3195149063","https://openalex.org/W4313169793","https://openalex.org/W6634974784","https://openalex.org/W6640378955","https://openalex.org/W6675286046","https://openalex.org/W6676014314","https://openalex.org/W6697082711","https://openalex.org/W6702191377"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2157785665","https://openalex.org/W2008821896","https://openalex.org/W2048023787","https://openalex.org/W3082420294","https://openalex.org/W2068941797"],"abstract_inverted_index":{"Although":[0],"being":[1],"high-dimensional,":[2],"dynamic":[3,47],"magnetic":[4,48],"resonance":[5,49],"images":[6],"usually":[7],"lie":[8],"on":[9,53],"low-dimensional":[10,22],"manifolds.":[11],"Nonlinear":[12],"models":[13],"have":[14],"been":[15],"shown":[16],"to":[17,30,105],"capture":[18],"well":[19],"that":[20,99,108],"latent":[21],"nature":[23],"of":[24,35,117],"data,":[25],"and":[26,73,86],"can":[27],"thus":[28],"lead":[29],"improvements":[31],"in":[32,82,90],"the":[33,74,83,87,91,100,114],"quality":[34],"constrained":[36],"recovery":[37],"algorithms.":[38],"This":[39],"paper":[40],"advocates":[41],"a":[42],"novel":[43],"reconstruction":[44],"algorithm":[45,76],"for":[46],"imaging":[50],"(dMRI)":[51],"based":[52],"nonlinear":[54,64],"dictionary":[55,65,71],"learned":[56,68,112],"from":[57,113],"low-spatial":[58],"but":[59],"high-temporal":[60],"resolution":[61],"images.":[62],"The":[63],"is":[66,103],"initially":[67],"using":[69],"kernel":[70],"learning,":[72],"proposed":[75,101],"subsequently":[77],"alternates":[78],"between":[79],"sparsity":[80],"enforcement":[81],"feature":[84],"space":[85],"data-consistency":[88],"constraint":[89],"original":[92],"input":[93],"space.":[94],"Extensive":[95],"numerical":[96],"tests":[97],"demonstrate":[98],"scheme":[102],"superior":[104],"popular":[106],"methods":[107],"use":[109],"linear":[110],"dictionaries":[111],"same":[115],"set":[116],"training":[118],"data.":[119]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}