{"id":"https://openalex.org/W4401750933","doi":"https://doi.org/10.1109/isbi56570.2024.10635290","title":"fMRI Functional Connectivity Augmentation Using Convolutional Generative Adversarial Networks for Brain Disorder Classification","display_name":"fMRI Functional Connectivity Augmentation Using Convolutional Generative Adversarial Networks for Brain Disorder Classification","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401750933","doi":"https://doi.org/10.1109/isbi56570.2024.10635290"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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/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":true,"raw_author_name":"Yee-Fan Tan","raw_affiliation_strings":["Monash University, Malaysia Campus,School of Information Technology"],"affiliations":[{"raw_affiliation_string":"Monash University, Malaysia Campus,School of Information Technology","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, Malaysia Campus,School of Information Technology"],"affiliations":[{"raw_affiliation_string":"Monash University, Malaysia Campus,School of Information Technology","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, Malaysia Campus,School of Information Technology"],"affiliations":[{"raw_affiliation_string":"Monash University, Malaysia Campus,School of Information Technology","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","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, Malaysia Campus,School of Information Technology"],"affiliations":[{"raw_affiliation_string":"Monash University, Malaysia Campus,School of Information Technology","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"last","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":["King Abdullah University of Science and Technology,Statistics Program"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology,Statistics Program","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027456563"],"corresponding_institution_ids":["https://openalex.org/I11662577"],"apc_list":null,"apc_paid":null,"fwci":0.9947,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74703277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9921000003814697,"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":0.9921000003814697,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9854000210762024,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7526996731758118},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7430233955383301},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.6190202236175537},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6141632795333862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6131938099861145},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5607175827026367},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.43183666467666626},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41376766562461853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4068946838378906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3441166281700134},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.27702945470809937},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2124515175819397},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14051160216331482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526996731758118},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7430233955383301},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.6190202236175537},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6141632795333862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6131938099861145},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5607175827026367},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.43183666467666626},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41376766562461853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4068946838378906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3441166281700134},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27702945470809937},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2124515175819397},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14051160216331482}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1974874858","https://openalex.org/W2054482635","https://openalex.org/W2153635508","https://openalex.org/W2158485497","https://openalex.org/W2271840356","https://openalex.org/W2526511911","https://openalex.org/W2616584164","https://openalex.org/W2921224201","https://openalex.org/W2949676527","https://openalex.org/W2958946409","https://openalex.org/W2963684088","https://openalex.org/W2982620807","https://openalex.org/W3003265860","https://openalex.org/W3010971007","https://openalex.org/W3044486805","https://openalex.org/W3098642829","https://openalex.org/W3157571958","https://openalex.org/W3186881383","https://openalex.org/W3198017651","https://openalex.org/W3211177170","https://openalex.org/W4287633474","https://openalex.org/W6631190155","https://openalex.org/W6685352114","https://openalex.org/W6694517276","https://openalex.org/W6741832134","https://openalex.org/W6785397052"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2765441290","https://openalex.org/W4306755470","https://openalex.org/W2011396931","https://openalex.org/W4385421777","https://openalex.org/W4401572343","https://openalex.org/W2031593520","https://openalex.org/W4394861163","https://openalex.org/W2066906403","https://openalex.org/W4377980832"],"abstract_inverted_index":{"Recent":[0],"applications":[1],"of":[2,35,99,115,130],"deep":[3,53],"learning":[4],"(DL)":[5],"methods":[6],"to":[7,59,96,124,174],"brain":[8,67],"disorder":[9,138],"classification":[10,26,148],"use":[11],"functional":[12,16],"connectivity":[13],"(FC)":[14],"from":[15],"magnetic":[17],"resonance":[18],"imaging":[19],"(fMRI)":[20],"data":[21,63,120,151,177],"as":[22],"features.":[23],"However,":[24],"the":[25,32,42,90,105,110,116,126,154,175],"performance":[27,127],"has":[28],"been":[29],"limited":[30],"by":[31,153],"small":[33],"number":[34],"fMRI":[36,61,143],"samples":[37],"and":[38,92,112,128,181],"over-fitting":[39],"problem":[40],"in":[41,88,94,147,171],"DL":[43],"model":[44],"training.":[45],"We":[46,69,108],"propose":[47],"a":[48,71],"novel":[49],"framework":[50],"based":[51],"on":[52,80,135],"convolutional":[54,82],"generative":[55],"adversarial":[56],"network":[57],"(DCGAN)":[58],"augment":[60],"FC":[62,76,101,132,160],"for":[64,75,84,178],"classifying":[65],"altered":[66],"networks.":[68],"develop":[70],"specialized":[72],"DCGAN":[73],"architecture":[74],"synthesis,":[77],"which":[78],"builds":[79],"multiple":[81],"layers":[83],"hierarchical":[85],"latent":[86],"representation":[87],"both":[89,179],"generator":[91],"discriminator,":[93],"order":[95],"generate":[97],"connections":[98],"signed-weighted":[100],"networks,":[102],"while":[103],"preserving":[104],"spatial":[106],"structure.":[107],"consider":[109],"1-dimensional":[111],"2-dimensional":[113],"convolution":[114],"DCGANs.":[117],"The":[118,164],"generated":[119],"are":[121],"then":[122],"used":[123],"improve":[125],"generalizability":[129],"downstream":[131],"classifiers.":[133],"Results":[134],"major":[136],"depressive":[137],"(MDD)":[139],"identification":[140],"using":[141],"resting-state":[142],"show":[144],"substantial":[145],"improvement":[146],"accuracy":[149],"after":[150],"augmentation":[152],"proposed":[155],"models,":[156],"outperforming":[157],"several":[158],"state-of-the-art":[159],"classifiers":[161],"without":[162],"augmentation.":[163],"synthetic":[165],"FCs":[166],"also":[167],"reveal":[168],"close":[169],"resemblance":[170],"structural":[172],"patterns":[173],"real":[176],"MDD":[180],"healthy":[182],"subjects.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
