{"id":"https://openalex.org/W4392903746","doi":"https://doi.org/10.1109/icassp48485.2024.10446450","title":"Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs","display_name":"Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903746","doi":"https://doi.org/10.1109/icassp48485.2024.10446450"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5050986950","display_name":"Yuda Bi","orcid":"https://orcid.org/0000-0003-0385-8363"},"institutions":[{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuda Bi","raw_affiliation_strings":["Tri-Institutional Center for Translational Research in Neuroimaging and Data Science @{GSU, GATech, Emory}"],"affiliations":[{"raw_affiliation_string":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science @{GSU, GATech, Emory}","institution_ids":["https://openalex.org/I4210133909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010748227","display_name":"Anees Abrol","orcid":"https://orcid.org/0000-0001-9223-5314"},"institutions":[{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anees Abrol","raw_affiliation_strings":["Tri-Institutional Center for Translational Research in Neuroimaging and Data Science @{GSU, GATech, Emory}"],"affiliations":[{"raw_affiliation_string":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science @{GSU, GATech, Emory}","institution_ids":["https://openalex.org/I4210133909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073577615","display_name":"Jing Sui","orcid":"https://orcid.org/0000-0001-6837-5966"},"institutions":[{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Sui","raw_affiliation_strings":["Tri-Institutional Center for Translational Research in Neuroimaging and Data Science @{GSU, GATech, Emory}"],"affiliations":[{"raw_affiliation_string":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science @{GSU, GATech, Emory}","institution_ids":["https://openalex.org/I4210133909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"institutions":[{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince Calhoun","raw_affiliation_strings":["Tri-Institutional Center for Translational Research in Neuroimaging and Data Science @{GSU, GATech, Emory}"],"affiliations":[{"raw_affiliation_string":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science @{GSU, GATech, Emory}","institution_ids":["https://openalex.org/I4210133909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050986950"],"corresponding_institution_ids":["https://openalex.org/I4210133909"],"apc_list":null,"apc_paid":null,"fwci":1.5898,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83404542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1756","last_page":"1760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9977999925613403,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730664074420929},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.608218252658844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5580454468727112},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4641377329826355},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.46311771869659424},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.45553234219551086},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4362366795539856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32358318567276},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20240747928619385},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11771416664123535},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09791913628578186},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09316125512123108},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0802212655544281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730664074420929},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.608218252658844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5580454468727112},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4641377329826355},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.46311771869659424},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.45553234219551086},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4362366795539856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32358318567276},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20240747928619385},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11771416664123535},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09791913628578186},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09316125512123108},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0802212655544281},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1975889281","https://openalex.org/W2789713147","https://openalex.org/W2963073614","https://openalex.org/W2963684088","https://openalex.org/W2979674049","https://openalex.org/W3048396787","https://openalex.org/W3082394871","https://openalex.org/W3094336018","https://openalex.org/W3094502228","https://openalex.org/W3166504651","https://openalex.org/W3166513219","https://openalex.org/W3180897515","https://openalex.org/W4200275335","https://openalex.org/W4295434409","https://openalex.org/W4312472844","https://openalex.org/W4320013936","https://openalex.org/W4386352564","https://openalex.org/W6685352114","https://openalex.org/W6782646009","https://openalex.org/W6784333009","https://openalex.org/W6795892075","https://openalex.org/W6798351829"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W3021493803","https://openalex.org/W2257755506","https://openalex.org/W2374712251","https://openalex.org/W4383031710"],"abstract_inverted_index":{"The":[0],"cross-modal":[1,146],"synthesis":[2],"between":[3],"structural":[4],"magnetic":[5],"resonance":[6],"imaging":[7],"(sMRI)":[8],"and":[9,57,72,138,152,161],"functional":[10],"network":[11],"connectivity":[12],"(FNC)":[13],"is":[14,129],"a":[15,48,75,81],"relatively":[16],"unexplored":[17],"area":[18],"in":[19,100],"medical":[20],"imaging,":[21],"especially":[22],"with":[23,55,86],"respect":[24],"to":[25,37,135],"schizophrenia.":[26],"This":[27,114],"study":[28],"employs":[29],"conditional":[30,120],"Vision":[31],"Transformer":[32],"Generative":[33],"Adversarial":[34],"Networks":[35],"(cViT-GANs)":[36],"generate":[38],"FNC":[39,67,78,89,94,139],"data":[40],"based":[41],"on":[42,47,150],"sMRI":[43,137],"inputs.":[44],"After":[45],"training":[46],"comprehensive":[49],"dataset":[50],"that":[51,148],"included":[52],"both":[53],"individuals":[54],"schizophrenia":[56],"healthy":[58],"control":[59],"subjects,":[60],"our":[61,93,117],"cViT-GAN":[62],"model":[63,118],"effectively":[64],"synthesized":[65],"the":[66,87,106,132,157],"matrix":[68],"for":[69],"each":[70],"subject,":[71],"then":[73],"formed":[74],"group":[76],"difference":[77],"matrix,":[79],"obtaining":[80],"Pearson":[82],"correlation":[83],"of":[84,109,131,159],"0.73":[85],"actual":[88],"matrix.":[90],"In":[91],"addition,":[92],"visualization":[95],"results":[96],"demonstrate":[97],"significant":[98],"correlations":[99],"particular":[101],"subcortical":[102],"brain":[103],"regions,":[104],"highlighting":[105],"model\u2019s":[107],"capability":[108],"capturing":[110],"detailed":[111],"structural-functional":[112],"associations.":[113],"performance":[115],"distinguishes":[116],"from":[119,144],"CNN-based":[121],"GAN":[122],"alternatives":[123],"such":[124],"as":[125],"Pix2Pix.":[126],"Our":[127],"research":[128],"one":[130],"first":[133],"attempts":[134],"link":[136],"synthesis,":[140],"setting":[141],"it":[142],"apart":[143],"other":[145],"studies":[147],"concentrate":[149],"T1-":[151],"T2-weighted":[153],"MR":[154],"images":[155],"or":[156],"fusion":[158],"MRI":[160],"CT":[162],"scans.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}