{"id":"https://openalex.org/W4386116367","doi":"https://doi.org/10.1109/jbhi.2023.3306460","title":"Individualized Assessment of Brain A\u03b2 Deposition With fMRI Using Deep Learning","display_name":"Individualized Assessment of Brain A\u03b2 Deposition With fMRI Using Deep Learning","publication_year":2023,"publication_date":"2023-08-24","ids":{"openalex":"https://openalex.org/W4386116367","doi":"https://doi.org/10.1109/jbhi.2023.3306460","pmid":"https://pubmed.ncbi.nlm.nih.gov/37616143"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3306460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3306460","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100694649","display_name":"Chaolin Li","orcid":"https://orcid.org/0000-0002-7438-6706"},"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/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaolin Li","raw_affiliation_strings":["School of Education, Guangzhou University, Guangzhou, China","School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7438-6706","affiliations":[{"raw_affiliation_string":"School of Education, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058203667","display_name":"Mianxin Liu","orcid":"https://orcid.org/0000-0001-5171-778X"},"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mianxin Liu","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5171-778X","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073920552","display_name":"Jing Xia","orcid":"https://orcid.org/0000-0003-4962-2604"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jing Xia","raw_affiliation_strings":["Department of Biomedical Engineering, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-4962-2604","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024229930","display_name":"Lang Mei","orcid":"https://orcid.org/0000-0002-0863-4708"},"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":"Lang Mei","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0863-4708","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773497","display_name":"Qing Yang","orcid":"https://orcid.org/0000-0001-5528-3843"},"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":"Qing Yang","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5528-3843","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044868467","display_name":"Feng Shi","orcid":"https://orcid.org/0000-0003-1522-9943"},"institutions":[{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Shi","raw_affiliation_strings":["Department of Research and Development, United Imaging Intelligence Co., Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1522-9943","affiliations":[{"raw_affiliation_string":"Department of Research and Development, United Imaging Intelligence Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049200","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0002-6645-8810"},"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":"Han Zhang","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6645-8810","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","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":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","Shanghai Clinical Research and Trial Center, Shanghai, China","Department of Research and Development, United Imaging Intelligence Co., Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7934-5698","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Clinical Research and Trial Center, Shanghai, China","institution_ids":["https://openalex.org/I4210157781"]},{"raw_affiliation_string":"Department of Research and Development, United Imaging Intelligence Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.583,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82393655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":"11","first_page":"5430","last_page":"5438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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":1.0,"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.7494471669197083},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7389835119247437},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5368630886077881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5320138931274414},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5181159377098083},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5143028497695923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5127338171005249},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47037047147750854},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.45462939143180847},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.4260146915912628},{"id":"https://openalex.org/keywords/standardized-uptake-value","display_name":"Standardized uptake value","score":0.41017264127731323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4020461142063141},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.38580846786499023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3219636082649231},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25700023770332336},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.2466547191143036},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20291879773139954},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17799833416938782},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10981544852256775}],"concepts":[{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.7494471669197083},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7389835119247437},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5368630886077881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320138931274414},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5181159377098083},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5143028497695923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5127338171005249},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47037047147750854},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.45462939143180847},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.4260146915912628},{"id":"https://openalex.org/C199374082","wikidata":"https://www.wikidata.org/wiki/Q907080","display_name":"Standardized uptake value","level":3,"score":0.41017264127731323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4020461142063141},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.38580846786499023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3219636082649231},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25700023770332336},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.2466547191143036},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20291879773139954},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17799833416938782},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10981544852256775}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3306460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3306460","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37616143","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37616143","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5299999713897705,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2690246104","display_name":null,"funder_award_id":"62131015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3553806372","display_name":null,"funder_award_id":"202102010495","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G5799702300","display_name":null,"funder_award_id":"21010502600","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"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"},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1521781547","https://openalex.org/W1930947675","https://openalex.org/W1964793333","https://openalex.org/W1977541817","https://openalex.org/W1992849759","https://openalex.org/W2003851329","https://openalex.org/W2005821483","https://openalex.org/W2014370020","https://openalex.org/W2070267512","https://openalex.org/W2073092061","https://openalex.org/W2078524519","https://openalex.org/W2096410114","https://openalex.org/W2101135654","https://openalex.org/W2111902267","https://openalex.org/W2115017507","https://openalex.org/W2117140276","https://openalex.org/W2120265621","https://openalex.org/W2187089797","https://openalex.org/W2344823654","https://openalex.org/W2345678177","https://openalex.org/W2616247523","https://openalex.org/W2766125374","https://openalex.org/W2788894888","https://openalex.org/W2798054687","https://openalex.org/W2809443510","https://openalex.org/W2888363961","https://openalex.org/W2889717585","https://openalex.org/W2951617899","https://openalex.org/W2964015378","https://openalex.org/W2965413344","https://openalex.org/W2995808388","https://openalex.org/W3012085194","https://openalex.org/W3038748576","https://openalex.org/W3087798623","https://openalex.org/W3102564565","https://openalex.org/W3131910442","https://openalex.org/W3186899711","https://openalex.org/W4214530470","https://openalex.org/W4225623397","https://openalex.org/W4226147955","https://openalex.org/W4255543091","https://openalex.org/W4322614756","https://openalex.org/W6648490359","https://openalex.org/W6726873649","https://openalex.org/W6730084236"],"related_works":["https://openalex.org/W4361806667","https://openalex.org/W1520477417","https://openalex.org/W3150454329","https://openalex.org/W4250679599","https://openalex.org/W4236064658","https://openalex.org/W4403450413","https://openalex.org/W4232465970","https://openalex.org/W4244025530","https://openalex.org/W2945168867","https://openalex.org/W4233336045"],"abstract_inverted_index":{"PET-based":[0,174],"Alzheimer's":[1],"disease":[2],"(AD)":[3],"assessment":[4,42],"has":[5],"many":[6],"limitations":[7],"in":[8,25,94,106,120],"large-scale":[9],"screening.":[10],"Non-invasive":[11],"techniques":[12],"such":[13],"as":[14,110,136],"resting-state":[15],"functional":[16,37],"magnetic":[17,168],"resonance":[18,169],"imaging":[19,170],"(rs-fMRI)":[20],"have":[21],"been":[22],"proven":[23],"valuable":[24],"early":[26],"AD":[27],"diagnosis.":[28,175],"This":[29,156],"study":[30,157],"investigated":[31],"feasibility":[32,160],"of":[33,43,122,152,163],"using":[34,65,164],"rs-fMRI,":[35],"especially":[36],"connectivity":[38],"(FC),":[39],"for":[40,64,140],"individualized":[41],"brain":[44],"amyloid-\u03b2":[45,72],"deposition":[46],"derived":[47],"from":[48],"PET.":[49],"We":[50],"designed":[51],"a":[52],"graph":[53],"convolutional":[54],"networks":[55,69],"(GCNs)":[56],"and":[57,81,101,112,138,161],"random":[58],"forest":[59],"(RF)":[60],"based":[61],"integrated":[62],"framework":[63],"rs-fMRI-derived":[66],"multi-level":[67],"FC":[68],"to":[70,172],"predict":[71],"PET":[73],"patterns":[74],"with":[75,104],"the":[76,107,132,149,153],"OASIS-3":[77],"(N":[78,83],"=":[79,84],"258)":[80],"ADNI-2":[82],"291)":[85],"datasets.":[86],"Our":[87],"method":[88],"achieved":[89],"satisfactory":[90],"accuracy":[91,105],"not":[92],"only":[93],"A\u03b2-PET":[95,125],"grade":[96],"classification":[97,109],"(for":[98],"negative,":[99],"intermediate,":[100],"positive":[102],"grades,":[103],"three-class":[108],"62.8%":[111],"64.3%":[113],"on":[114],"two":[115,141],"datasets,":[116,142],"respectively),":[117],"but":[118],"also":[119,147],"prediction":[121],"whole-brain":[123],"region-level":[124],"standard":[126],"uptake":[127],"value":[128],"ratios":[129],"(SUVRs)":[130],"(with":[131],"mean":[133],"square":[134],"errors":[135],"0.039":[137],"0.074":[139],"respectively).":[143],"Model":[144],"interpretability":[145],"examination":[146],"revealed":[148],"contributive":[150],"role":[151],"limbic":[154],"network.":[155],"demonstrated":[158],"high":[159],"reproducibility":[162],"low-cost,":[165],"more":[166],"accessible":[167],"(MRI)":[171],"approximate":[173]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}