{"id":"https://openalex.org/W2295316051","doi":"https://doi.org/10.1109/embc.2015.7319342","title":"Sparse dictionary learning for fMRI analysis using autocorrelation maximization","display_name":"Sparse dictionary learning for fMRI analysis using autocorrelation maximization","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2295316051","doi":"https://doi.org/10.1109/embc.2015.7319342","mag":"2295316051","pmid":"https://pubmed.ncbi.nlm.nih.gov/26737242"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7319342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7319342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","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/A5007304996","display_name":"Muhammad Usman Khalid","orcid":"https://orcid.org/0000-0003-1636-3351"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Muhammad Usman Khalid","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Melbourne University, Australia","NICTA & The Australian National University, NANU College of Engg. & Computer Sci, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Melbourne University, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"NICTA & The Australian National University, NANU College of Engg. & Computer Sci, Canberra, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067664456","display_name":"Adnan Shah","orcid":"https://orcid.org/0000-0003-2942-0183"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Adnan Shah","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Melbourne University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Melbourne University, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084681382","display_name":"Abd\u2010Krim Seghouane","orcid":"https://orcid.org/0000-0003-4619-734X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abd-Krim Seghouane","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Melbourne University, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Melbourne University, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4498,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83558572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2015","issue":null,"first_page":"4286","last_page":"4289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9980999827384949,"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/autocorrelation","display_name":"Autocorrelation","score":0.8039374947547913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549970149993896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6650663018226624},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6276147365570068},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6260210275650024},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49721887707710266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4372149407863617},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35347986221313477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1555175483226776},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11403536796569824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09446749091148376}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8039374947547913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549970149993896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6650663018226624},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6276147365570068},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6260210275650024},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49721887707710266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4372149407863617},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35347986221313477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1555175483226776},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11403536796569824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09446749091148376},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","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},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2015.7319342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7319342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:26737242","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26737242","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1495948108","https://openalex.org/W1519126837","https://openalex.org/W1979766935","https://openalex.org/W1995714794","https://openalex.org/W2013294521","https://openalex.org/W2016444985","https://openalex.org/W2038688158","https://openalex.org/W2058408209","https://openalex.org/W2060899536","https://openalex.org/W2061191150","https://openalex.org/W2062195890","https://openalex.org/W2067963436","https://openalex.org/W2089449171","https://openalex.org/W2111564755","https://openalex.org/W2113107995","https://openalex.org/W2115429828","https://openalex.org/W2123649031","https://openalex.org/W2130682517","https://openalex.org/W2163722029","https://openalex.org/W2294798173","https://openalex.org/W3090198113","https://openalex.org/W6631041177","https://openalex.org/W6683945505"],"related_works":["https://openalex.org/W747394405","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2381153750","https://openalex.org/W2041235277","https://openalex.org/W2088220880","https://openalex.org/W2022021973","https://openalex.org/W3121354342","https://openalex.org/W2060952610","https://openalex.org/W2027411114"],"abstract_inverted_index":{"In":[0],"this":[1,89],"paper,":[2],"the":[3,28,53,73,82,98,111,116,126,129,146],"effect":[4,127],"of":[5,37,55,115,128,170],"temporal":[6],"autocorrelations":[7,83],"in":[8,84,151,168],"functional":[9],"magnetic":[10],"resonance":[11],"imaging":[12],"(fMRI)":[13],"data":[14,118],"on":[15,52,133],"sparse":[16,23,74],"dictionary":[17,105,131],"learning":[18],"(SDL)":[19],"is":[20,31,67,94,135,149],"addressed.":[21],"For":[22],"general":[24],"linear":[25,35],"model":[26,76,93],"(sGLM),":[27],"fMRI":[29,85,117,157],"time-series":[30],"modeled":[32],"as":[33,41,62],"a":[34,91,123],"mixture":[36],"several":[38],"signals":[39,59],"such":[40],"neural":[42,166],"dynamics,":[43],"structured":[44],"noise,":[45],"random":[46],"noise":[47],"and":[48,65,113],"unexplained":[49],"signal":[50],"variations":[51],"basis":[54],"spatial":[56],"sparseness.":[57],"These":[58],"are":[60],"considered":[61],"underlying":[63],"sources":[64],"SDL":[66],"used":[68],"to":[69,96,137,164],"estimate":[70,165],"them.":[71],"However,":[72],"GLM":[75],"does":[77],"not":[78],"take":[79],"into":[80,104],"account":[81],"data.":[86],"To":[87],"address":[88],"shortcoming,":[90],"new":[92],"proposed":[95,130,147],"incorporate":[97],"prior":[99],"knowledge":[100],"about":[101],"lag-1":[102],"autocorrelation":[103],"update":[106,132,148],"stage.":[107],"This":[108],"helps":[109],"improve":[110],"sensitivity":[112],"specificity":[114],"during":[119],"statistical":[120],"analysis.":[121],"Using":[122],"simulation":[124],"study,":[125],"sGLM":[134,139,153],"compared":[136],"conventional":[138],"by":[140],"utilizing":[141],"various":[142],"detrending":[143],"techniques.":[144],"Furthermore,":[145],"validated":[150],"an":[152],"framework":[154],"for":[155],"real":[156],"datasets,":[158],"which":[159],"shows":[160],"its":[161],"better":[162],"capability":[163],"dynamics":[167],"presence":[169],"spatiotemporal":[171],"dependencies.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}