{"id":"https://openalex.org/W4386350558","doi":"https://doi.org/10.1109/isbi53787.2023.10230577","title":"Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET","display_name":"Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386350558","doi":"https://doi.org/10.1109/isbi53787.2023.10230577"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056360981","display_name":"Yuanwang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanwang Zhang","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002529091","display_name":"Kaicong Sun","orcid":"https://orcid.org/0000-0002-9999-2542"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaicong Sun","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119393227","display_name":"Yuxiao Liu","orcid":"https://orcid.org/0009-0003-8298-5420"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiao Liu","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]},{"id":"https://openalex.org/I4210157781","display_name":"Shanghai Clinical Research Center","ror":"https://ror.org/057tkkm33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210157781"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["ShanghaiTech University,School of Biomedical Engineering,Shanghai,China,201210","Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China","Shanghai Clinical Research and Trial Center, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Biomedical Engineering,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Shanghai Clinical Research and Trial Center, Shanghai, China","institution_ids":["https://openalex.org/I4210157781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061132192611694},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6987431645393372},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6498364210128784},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.5915483236312866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.566216230392456},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5467315316200256},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5429094433784485},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.515531063079834},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.44041943550109863},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4176805913448334},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4122052490711212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39390790462493896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35640159249305725},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14788439869880676},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13711467385292053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061132192611694},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6987431645393372},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6498364210128784},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.5915483236312866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.566216230392456},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5467315316200256},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5429094433784485},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.515531063079834},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.44041943550109863},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4176805913448334},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4122052490711212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39390790462493896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35640159249305725},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14788439869880676},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13711467385292053},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1731081199","https://openalex.org/W1989858256","https://openalex.org/W1997677703","https://openalex.org/W2078524519","https://openalex.org/W2092730500","https://openalex.org/W2146089088","https://openalex.org/W2194775991","https://openalex.org/W2765366332","https://openalex.org/W3084350364","https://openalex.org/W3094502228","https://openalex.org/W3151130473","https://openalex.org/W4211139529","https://openalex.org/W4225004043","https://openalex.org/W4241074797","https://openalex.org/W6637373629","https://openalex.org/W6637618735","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W3212022110","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W4352981569","https://openalex.org/W3014300295"],"abstract_inverted_index":{"Magnetic":[0],"Resonance":[1],"Imaging":[2],"(MRI)":[3],"and":[4,31,66],"Positron":[5],"Emission":[6],"Tomography":[7],"(PET)":[8],"are":[9],"both":[10,29],"the":[11,39,122,132,141],"widely":[12],"used":[13,69],"imaging":[14],"modalities":[15,26,127],"for":[16,34,73],"early":[17,74],"diagnosis":[18],"of":[19,90],"Alzheimer's":[20],"disease":[21],"(AD).":[22],"Combining":[23],"these":[24,54],"two":[25,55,126],"allow":[27],"using":[28],"anatomical":[30],"metabolic":[32],"information":[33,52,60],"evaluating":[35],"brain":[36],"status.":[37],"However,":[38],"commonly-used":[40],"multimodal":[41,82,105],"fusion":[42,83,102],"strategy,":[43],"i.e.,":[44],"through":[45,107],"channel":[46],"concatenation,":[47],"cannot":[48],"effectively":[49],"exploit":[50],"complementary":[51],"among":[53],"modalities.":[56],"To":[57],"encourage":[58],"effective":[59,138],"exchange":[61],"between":[62,125],"structural":[63],"MRI":[64],"(sMRI)":[65],"FDG-PET":[67],"as":[68],"in":[70],"our":[71,86,146],"study":[72],"AD":[75],"diagnosis,":[76],"we":[77,143],"propose":[78],"a":[79,153],"novel":[80],"transformer-based":[81],"framework.":[84],"Specially,":[85],"proposed":[87],"model":[88,147],"composes":[89],"three":[91],"parts:":[92],"1)":[93],"Feature":[94,101],"extraction":[95],"based":[96,103,113],"on":[97,104,114],"adversarial":[98,120],"training;":[99],"2)":[100],"transformer":[106],"cross-attention":[108,133],"mechanism;":[109],"3)":[110],"Classification":[111],"head":[112],"full":[115],"connection.":[116],"By":[117],"resorting":[118],"to":[119,135],"learning,":[121],"feature":[123],"gap":[124],"becomes":[128],"smaller,":[129],"thus":[130],"easing":[131],"operation":[134],"achieve":[136],"more":[137],"fusion.":[139],"In":[140],"experiment,":[142],"show":[144],"that":[145],"outperforms":[148],"other":[149],"representative":[150],"models":[151],"by":[152],"large":[154],"margin.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}