{"id":"https://openalex.org/W4416214932","doi":"https://doi.org/10.1109/jstsp.2025.3632542","title":"DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI","display_name":"DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W4416214932","doi":"https://doi.org/10.1109/jstsp.2025.3632542"},"language":null,"primary_location":{"id":"doi:10.1109/jstsp.2025.3632542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2025.3632542","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-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/A5108320755","display_name":"Bocheng Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bocheng Guo","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0001-3373-5754","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394107","display_name":"Jinhui Wang","orcid":"https://orcid.org/0000-0001-8340-717X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028990776","display_name":"Yijie Li","orcid":"https://orcid.org/0009-0002-4563-4173"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Li","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0002-4563-4173","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649295","display_name":"Junyi Wang","orcid":"https://orcid.org/0000-0002-3191-1662"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101577487","display_name":"Mingyu Gao","orcid":"https://orcid.org/0000-0003-4678-6937"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Gao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Puming Feng","orcid":"https://orcid.org/0009-0004-9097-3793"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Puming Feng","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0004-9097-3793","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116820688","display_name":"Yuqian Chen","orcid":"https://orcid.org/0009-0005-5613-2920"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yuqian Chen","raw_affiliation_strings":["Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston, MA, USA","University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055206815","display_name":"Jarrett Rushmore","orcid":null},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jarrett Rushmore","raw_affiliation_strings":["Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston University, Boston, MA, USA","Brigham and Women&#x0027;s Hospital and Harvard Medical School, Boston University, Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Brigham and Women&#x0027;s Hospital and Harvard Medical School, Boston University, Boston, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012499268","display_name":"Nikos Makris","orcid":"https://orcid.org/0000-0003-0425-3315"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikos Makris","raw_affiliation_strings":["Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston, MA, USA","Brigham and Women&#x0027;s Hospital and Harvard Medical School, Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Brigham and Women&#x0027;s Hospital and Harvard Medical School, Boston, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037057278","display_name":"Yogesh Rathi","orcid":"https://orcid.org/0000-0002-9946-2314"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yogesh Rathi","raw_affiliation_strings":["Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston, MA, USA","Brigham and Women&#x0027;s Hospital and Harvard Medical School, Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Brigham and Women&#x0027;s Hospital and Harvard Medical School, Boston, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082042615","display_name":"Lauren J. O\u2019Donnell","orcid":"https://orcid.org/0000-0003-0197-7801"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lauren J. O\u2019Donnell","raw_affiliation_strings":["Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston, MA, USA","Brigham and Women&#x0027;s Hospital and Harvard Medical School, Boston, USA"],"raw_orcid":"https://orcid.org/0000-0003-0197-7801","affiliations":[{"raw_affiliation_string":"Brigham and Women&#x2019;s Hospital and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Brigham and Women&#x0027;s Hospital and Harvard Medical School, Boston, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-5032-6039"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5032-6039","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5108320755"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.1982,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84181406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"19","issue":"8","first_page":"1920","last_page":"1929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9991000294685364,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.0003000000142492354,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/diffusion-mri","display_name":"Diffusion MRI","score":0.7181000113487244},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6924999952316284},{"id":"https://openalex.org/keywords/tractography","display_name":"Tractography","score":0.6844000220298767},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.6111999750137329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6065000295639038},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5109000205993652},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.507099986076355},{"id":"https://openalex.org/keywords/fractional-anisotropy","display_name":"Fractional anisotropy","score":0.48410001397132874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42419999837875366}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7279000282287598},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.7181000113487244},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6924999952316284},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.6844000220298767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358000040054321},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.6111999750137329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6065000295639038},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5109000205993652},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.507099986076355},{"id":"https://openalex.org/C89916169","wikidata":"https://www.wikidata.org/wiki/Q17014600","display_name":"Fractional anisotropy","level":4,"score":0.48410001397132874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42419999837875366},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C2993925342","wikidata":"https://www.wikidata.org/wiki/Q28457374","display_name":"Fiber tract","level":4,"score":0.38960000872612},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.3598000109195709},{"id":"https://openalex.org/C97820695","wikidata":"https://www.wikidata.org/wiki/Q387749","display_name":"Human Connectome Project","level":3,"score":0.3416000008583069},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.29179999232292175},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2687999904155731},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26660001277923584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26030001044273376},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2025.3632542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2025.3632542","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3552367556","display_name":null,"funder_award_id":"62371107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1983208069","https://openalex.org/W1993003146","https://openalex.org/W2015528614","https://openalex.org/W2024729467","https://openalex.org/W2031157309","https://openalex.org/W2114856020","https://openalex.org/W2118366819","https://openalex.org/W2142900310","https://openalex.org/W2618725683","https://openalex.org/W2619638121","https://openalex.org/W2766098209","https://openalex.org/W2773396539","https://openalex.org/W2780721078","https://openalex.org/W2803890652","https://openalex.org/W2808875895","https://openalex.org/W2888133838","https://openalex.org/W2921302667","https://openalex.org/W2951262416","https://openalex.org/W2991480599","https://openalex.org/W2998358581","https://openalex.org/W3013280574","https://openalex.org/W3015421914","https://openalex.org/W3037207981","https://openalex.org/W3044096495","https://openalex.org/W3129850062","https://openalex.org/W3172893236","https://openalex.org/W3190058274","https://openalex.org/W3209543453","https://openalex.org/W4205798776","https://openalex.org/W4224987349","https://openalex.org/W4226530565","https://openalex.org/W4292223721","https://openalex.org/W4292682066","https://openalex.org/W4295747741","https://openalex.org/W4323059294","https://openalex.org/W4362582291","https://openalex.org/W4400315096","https://openalex.org/W4410295287"],"related_works":[],"abstract_inverted_index":{"Tractography":[0],"fiber":[1,28,34,56,81,121,166,189,218],"clustering":[2,29,82,122,219],"using":[3,71],"diffusion":[4],"MRI":[5,73],"(dMRI)":[6],"is":[7,59],"a":[8,117,174,198],"crucial":[9],"method":[10],"for":[11,80],"white":[12],"matter":[13],"(WM)":[14],"parcellation":[15,232],"to":[16,41,83,104,140,178,202],"enable":[17,141],"analysis":[18],"of":[19,54,109,155,185,207],"brain's":[20],"structural":[21],"connectivity":[22],"in":[23,65,225],"health":[24],"and":[25,51,137,152,193,196,221,229],"disease.":[26],"Current":[27],"strategies":[30],"primarily":[31],"use":[32],"the":[33,38,49,55,66,106,110,150,156,160,165,205,210],"geometric":[35,151],"characteristics":[36,154],"(i.e.,":[37],"spatial":[39],"trajectories)":[40],"group":[42],"similar":[43],"fibers":[44,158],"into":[45],"clusters,":[46],"while":[47],"neglecting":[48],"functional":[50,72,86,194],"microstructural":[52,89,153],"information":[53,79,103,186],"tracts.":[57,167],"There":[58],"increasing":[60],"evidence":[61],"that":[62],"neural":[63],"activity":[64],"WM":[67,144,157,231],"can":[68,96,147],"be":[69,97],"measured":[70],"(fMRI),":[74],"providing":[75],"potentially":[76],"valuable":[77],"multimodal":[78],"enhance":[84],"its":[85],"coherence.":[87],"Furthermore,":[88],"features":[90,181],"such":[91],"as":[92,101],"fractional":[93],"anisotropy":[94],"(FA)":[95],"computed":[98],"from":[99,182],"dMRI":[100,136],"additional":[102],"ensure":[105],"anatomical":[107],"coherence":[108],"clusters.":[111],"In":[112,209],"this":[113],"paper,":[114],"we":[115,212],"develop":[116],"novel":[118],"deep":[119],"learning":[120],"framework,":[123],"namely":[124],"<italic":[125],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Deep":[127],"Multi-view":[128],"Fiber":[129],"Clustering":[130],"(DMVFC)</i>,":[131],"which":[132],"uses":[133],"joint":[134],"multi-modal":[135],"fMRI":[138,161],"data":[139],"functionally":[142,227],"consistent":[143,230],"parcellation.":[145],"DMVFC":[146,168,214],"effectively":[148],"integrate":[149],"with":[159,215],"BOLD":[162],"signals":[163],"along":[164],"includes":[169],"two":[170,216],"major":[171],"components:":[172],"(1)":[173],"multi-view":[175],"pretraining":[176],"module":[177,201],"compute":[179],"embedding":[180],"each":[183],"source":[184],"separately,":[187],"including":[188],"geometry,":[190],"microstructure":[191],"measures,":[192],"signals,":[195],"(2)":[197],"collaborative":[199],"fine-tuning":[200],"simultaneously":[203],"refine":[204],"differences":[206],"embeddings.":[208],"experiments,":[211],"compare":[213],"state-of-the-art":[217],"methods":[220],"demonstrate":[222],"superior":[223],"performance":[224],"achieving":[226],"meaningful":[228],"results.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-09T05:59:30.833894","created_date":"2025-11-14T00:00:00"}