{"id":"https://openalex.org/W4402915520","doi":"https://doi.org/10.1109/icip51287.2024.10647708","title":"Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals","display_name":"Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402915520","doi":"https://doi.org/10.1109/icip51287.2024.10647708"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647708","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5113405419","display_name":"Kai-Jun See","orcid":null},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Kai-Jun See","raw_affiliation_strings":["Monash University,School of Information Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University,School of Information Technology,Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046157434","display_name":"Chee\u2010Ming Ting","orcid":"https://orcid.org/0000-0002-6037-3728"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Chee-Ming Ting","raw_affiliation_strings":["Monash University,School of Information Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University,School of Information Technology,Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088514441","display_name":"Fuad Noman","orcid":"https://orcid.org/0000-0002-1756-8239"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Fuad Noman","raw_affiliation_strings":["Monash University,School of Information Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University,School of Information Technology,Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045821623","display_name":"Junn Yong Loo","orcid":"https://orcid.org/0000-0001-9370-600X"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Junn Yong Loo","raw_affiliation_strings":["Monash University,School of Information Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University,School of Information Technology,Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027456563","display_name":"Yee Fan Tan","orcid":"https://orcid.org/0000-0003-4187-1374"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yee-Fan Tan","raw_affiliation_strings":["Monash University,School of Information Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University,School of Information Technology,Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022587472","display_name":"Hernando Ombao","orcid":"https://orcid.org/0000-0001-7020-8091"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hernando Ombao","raw_affiliation_strings":["Statistics Program, King Abdullah University of Science and Technology (KAUST)"],"affiliations":[{"raw_affiliation_string":"Statistics Program, King Abdullah University of Science and Technology (KAUST)","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066166428","display_name":"Rapha\u00ebl C.\u2010W. Phan","orcid":"https://orcid.org/0000-0001-7448-4595"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Rapha\u00ebl C.-W. Phan","raw_affiliation_strings":["Monash University,School of Information Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University,School of Information Technology,Malaysia","institution_ids":["https://openalex.org/I11662577"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5113405419"],"corresponding_institution_ids":["https://openalex.org/I11662577"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16164688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"2996","last_page":"3002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9819999933242798,"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":0.9819999933242798,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9373000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.696739912033081},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.672757625579834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48153311014175415},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.44734641909599304},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43281638622283936},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2478252649307251},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19993898272514343},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18306788802146912}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.696739912033081},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.672757625579834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48153311014175415},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.44734641909599304},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43281638622283936},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2478252649307251},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19993898272514343},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18306788802146912}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647708","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321147","display_name":"Ministry of Higher Education","ror":"https://ror.org/0512bh102"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1866535452","https://openalex.org/W1950473838","https://openalex.org/W1987971958","https://openalex.org/W2051638434","https://openalex.org/W2090891622","https://openalex.org/W2132914434","https://openalex.org/W2460529817","https://openalex.org/W2522924024","https://openalex.org/W2559839022","https://openalex.org/W2583548943","https://openalex.org/W2619841694","https://openalex.org/W2787179631","https://openalex.org/W2808409763","https://openalex.org/W2888573301","https://openalex.org/W2921224201","https://openalex.org/W2963847248","https://openalex.org/W2964732194","https://openalex.org/W2989963038","https://openalex.org/W2997591727","https://openalex.org/W2997686727","https://openalex.org/W3015345825","https://openalex.org/W3022411716","https://openalex.org/W3035965352","https://openalex.org/W3093860674","https://openalex.org/W3162608941","https://openalex.org/W3164338400","https://openalex.org/W3186881383","https://openalex.org/W3189403855","https://openalex.org/W3194841521","https://openalex.org/W4378717849","https://openalex.org/W6631190155","https://openalex.org/W6685380521","https://openalex.org/W6726873649","https://openalex.org/W6761773475","https://openalex.org/W6763813028","https://openalex.org/W6766978945","https://openalex.org/W6846866826"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Analyzing":[0],"the":[1,56,90,116,157],"community":[2,41,52,77,123,131,171],"structure":[3,53],"of":[4,86,107,125,146],"brain":[5,12,32,40,80,126,170],"networks":[6,25,62,82,142],"provides":[7],"new":[8],"insights":[9],"into":[10],"human":[11],"function.":[13],"Existing":[14],"studies":[15],"broadly":[16],"use":[17],"conventional":[18,138],"network":[19,95,118],"clustering":[20,114],"approaches.":[21],"While":[22],"graph":[23,100],"neural":[24],"have":[26],"recently":[27],"shown":[28],"promise":[29],"in":[30,79,169],"modeling":[31],"functional":[33,151],"connectivity":[34],"(FC)":[35],"networks,":[36,109],"their":[37],"applications":[38],"to":[39,74,102,120,137,150],"detection":[42],"still":[43],"need":[44],"improvement":[45],"and":[46,110,165,178],"further":[47],"refinement.":[48],"Moreover,":[49],"identifying":[50],"common":[51,122],"while":[54],"resolving":[55],"single-subject":[57],"partitions":[58],"across":[59,94],"multiple":[60],"individual":[61,108,163],"remains":[63],"underexplored.":[64],"We":[65],"propose":[66],"a":[67,84,99],"Deep":[68],"Multi-Graph":[69],"Embedded":[70],"Clustering":[71],"(DMGEC)":[72],"framework":[73],"identify":[75],"shared":[76],"partition":[78],"FC":[81],"over":[83,162],"cohort":[85],"individuals.":[87],"By":[88],"incorporating":[89],"consensus":[91],"information":[92],"aggregated":[93],"structures,":[96],"DMGEC":[97,158],"leverages":[98],"autoencoder":[101],"produce":[103,121],"consensus-aware":[104],"latent":[105],"representations":[106],"applies":[111],"deep":[112],"embedded":[113],"on":[115],"multi-subject":[117],"representation":[119],"assignment":[124],"nodes.":[127],"Simulations":[128],"show":[129],"superior":[130],"recovery":[132],"by":[133],"our":[134],"method":[135],"compared":[136],"approaches,":[139],"especially":[140],"for":[141],"with":[143],"large":[144],"number":[145],"communities.":[147],"When":[148],"applied":[149],"magnetic":[152],"resonance":[153],"imaging":[154],"(fMRI)":[155],"data,":[156],"achieves":[159],"outstanding":[160],"alikeness":[161],"partitions,":[164],"uncovers":[166],"group-level":[167],"differences":[168],"motifs":[172],"between":[173],"major":[174],"depressive":[175],"disorder":[176],"patients":[177],"normal":[179],"controls.":[180]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}