{"id":"https://openalex.org/W2675130564","doi":"https://doi.org/10.1109/isbi.2017.7950471","title":"Template-guided Functional Network Identification via Supervised Dictionary Learning","display_name":"Template-guided Functional Network Identification via Supervised Dictionary Learning","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2675130564","doi":"https://doi.org/10.1109/isbi.2017.7950471","mag":"2675130564"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2017.7950471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5058749129","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0002-9592-0867"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, United States of America","Department of Computer Science, University of Georgia, Athens, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, United States of America","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, GA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331094","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-9851-6376"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"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":"Xiang Li","raw_affiliation_strings":["Department of Radiology, Massachusetts General Hospital, Boston, United States of America","Department of Radiology, Massachusetts General Hospital, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Massachusetts General Hospital, Boston, United States of America","institution_ids":["https://openalex.org/I4210087915","https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Radiology, Massachusetts General Hospital, Boston, MA","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085136297","display_name":"Milad Makkie","orcid":"https://orcid.org/0000-0002-4783-9124"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milad Makkie","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, United States of America","Department of Computer Science, University of Georgia, Athens, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, United States of America","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, GA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046164250","display_name":"Shannon Quinn","orcid":"https://orcid.org/0000-0002-8916-6335"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shannon Quinn","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, United States of America","Department of Computer Science, University of Georgia, Athens, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, United States of America","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, GA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084127910","display_name":"Binbin Lin","orcid":"https://orcid.org/0000-0002-7013-283X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Binbin Lin","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, United States of America","Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, United States of America","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010419481","display_name":"Jieping Ye","orcid":"https://orcid.org/0000-0001-8662-5818"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jieping Ye","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, United States of America","Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, United States of America","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100647156","display_name":"Tianming Liu","orcid":"https://orcid.org/0000-0002-8132-9048"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianming Liu","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, United States of America","Department of Computer Science, University of Georgia, Athens, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, United States of America","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, GA","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.133,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47810802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9940999746322632,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9925000071525574,"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":0.8131563663482666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7276132702827454},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6691159605979919},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6411342620849609},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5833630561828613},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5532851219177246},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.544483482837677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5247309803962708},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5132274627685547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48861175775527954},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4359779953956604},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41582727432250977},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4119982123374939},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33649033308029175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131563663482666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7276132702827454},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6691159605979919},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6411342620849609},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5833630561828613},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5532851219177246},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.544483482837677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5247309803962708},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5132274627685547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48861175775527954},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4359779953956604},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41582727432250977},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4119982123374939},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33649033308029175},{"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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2017.7950471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1983407432","https://openalex.org/W1992184506","https://openalex.org/W1997260622","https://openalex.org/W2002562224","https://openalex.org/W2016444985","https://openalex.org/W2025895794","https://openalex.org/W2031235352","https://openalex.org/W2040709265","https://openalex.org/W2057138653","https://openalex.org/W2064464200","https://openalex.org/W2067963436","https://openalex.org/W2079450984","https://openalex.org/W2086440776","https://openalex.org/W2103311175","https://openalex.org/W2110692145","https://openalex.org/W2115485420","https://openalex.org/W2146511652","https://openalex.org/W2157293619","https://openalex.org/W2158200838","https://openalex.org/W2169285522","https://openalex.org/W2293190025","https://openalex.org/W2517789827"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840","https://openalex.org/W2146544734"],"abstract_inverted_index":{"Functional":[0],"network":[1,62],"analysis":[2],"based":[3,85,116],"on":[4,48,86,96,117],"matrix":[5,88],"decomposition/factorization":[6],"methods":[7],"including":[8],"ICA":[9],"and":[10,39,59,68,110],"dictionary":[11,82],"learning":[12,83,124],"models":[13],"have":[14],"become":[15],"a":[16,26,57,79],"popular":[17],"approach":[18],"in":[19,29,43,74],"fMRI":[20,71],"study.":[21],"Yet":[22],"it":[23],"is":[24,52],"still":[25],"challenging":[27],"issue":[28],"interpreting":[30],"the":[31,36,49,97,113,118],"result":[32],"networks":[33,51,115],"because":[34],"of":[35],"inter-subject":[37],"variability":[38],"image":[40],"noises,":[41],"thus":[42],"many":[44],"cases,":[45],"manual":[46],"inspection":[47],"obtained":[50],"needed.":[53],"Aiming":[54],"to":[55,122],"provide":[56],"fast":[58,109],"reliable":[60],"functional":[61,114],"identification":[63],"tool":[64],"for":[65],"both":[66],"normal":[67],"diseased":[69],"brain":[70],"data":[72],"analysis,":[73],"this":[75],"work,":[76],"we":[77],"propose":[78],"novel":[80],"supervised":[81],"model":[84],"rank-1":[87],"decomposition":[89],"algorithm":[90],"(S-r1DL)":[91],"with":[92],"sparseness":[93],"constraint.":[94],"Application":[95],"Autism":[98],"Brain":[99],"Imaging":[100],"Data":[101],"Exchange":[102],"(ABIDE)":[103],"database":[104],"showed":[105],"that":[106],"S-r1DL":[107],"can":[108],"accurately":[111],"identify":[112],"given":[119],"templates,":[120],"comparing":[121],"unsupervised":[123],"method.":[125]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}