{"id":"https://openalex.org/W7166758728","doi":"https://doi.org/10.1016/j.neuroimage.2026.122081","title":"Neuro-ocular amyloid characterization in Alzheimer\u2019s disease via cross-site PET-MRI and hierarchical cross-attention driven multimodal representation learning","display_name":"Neuro-ocular amyloid characterization in Alzheimer\u2019s disease via cross-site PET-MRI and hierarchical cross-attention driven multimodal representation learning","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7166758728","doi":"https://doi.org/10.1016/j.neuroimage.2026.122081","pmid":"https://pubmed.ncbi.nlm.nih.gov/42379406"},"language":"en","primary_location":{"id":"doi:10.1016/j.neuroimage.2026.122081","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2026.122081","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.neuroimage.2026.122081","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139653138","display_name":"Dhivyaa SP","orcid":"https://orcid.org/0009-0002-8602-7185"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dhivyaa SP","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: spdhivyaa@gmail.com"],"raw_orcid":"https://orcid.org/0009-0002-8602-7185","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: spdhivyaa@gmail.com","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081718018","display_name":"Myungeun Lee","orcid":"https://orcid.org/0000-0001-5032-0086"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myungeun Lee","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: myungeun07@gmail.com"],"raw_orcid":"https://orcid.org/0000-0001-5032-0086","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: myungeun07@gmail.com","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027166704","display_name":"Jahae Kim","orcid":"https://orcid.org/0000-0003-4077-7722"},"institutions":[{"id":"https://openalex.org/I4210092150","display_name":"Chonnam National University Hospital","ror":"https://ror.org/00f200z37","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I111277659","https://openalex.org/I4210092150"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jahae Kim","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea; Department of Nuclear Medicine, Chonnam National University Hospital, Gwangju, 61469, South Korea. Electronic address: jahaekim.md@gmail.com"],"raw_orcid":"https://orcid.org/0000-0003-4077-7722","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea; Department of Nuclear Medicine, Chonnam National University Hospital, Gwangju, 61469, South Korea. Electronic address: jahaekim.md@gmail.com","institution_ids":["https://openalex.org/I4210092150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058331158","display_name":"Yeong-Jun Cho","orcid":"https://orcid.org/0000-0002-0497-5660"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeong-Jun Cho","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: yj.cho@jnu.ac.kr"],"raw_orcid":"https://orcid.org/0000-0002-0497-5660","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: yj.cho@jnu.ac.kr","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605822","display_name":"Soo-Hyung Kim","orcid":"https://orcid.org/0000-0003-3575-5035"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo-Hyung Kim","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: shkim@jnu.ac.kr"],"raw_orcid":"https://orcid.org/0000-0003-3575-5035","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: shkim@jnu.ac.kr","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087619194","display_name":"Hyung-Jeong Yang","orcid":"https://orcid.org/0000-0003-3024-5060"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyung-Jeong Yang","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: hjyang@jnu.ac.kr"],"raw_orcid":"https://orcid.org/0000-0003-3024-5060","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, 61186, South Korea. Electronic address: hjyang@jnu.ac.kr","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087619194"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":{"value":3450,"currency":"USD","value_usd":3450},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76975745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"338","issue":null,"first_page":"122081","last_page":"122081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.15770000219345093,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.15770000219345093,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.15719999372959137,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.057999998331069946,"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/representation","display_name":"Representation (politics)","score":0.6484000086784363},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44909998774528503},{"id":"https://openalex.org/keywords/amyloid","display_name":"Amyloid (mycology)","score":0.40130001306533813},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.36079999804496765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35679998993873596}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6484000086784363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468999981880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291000247001648},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C2777633098","wikidata":"https://www.wikidata.org/wiki/Q2736051","display_name":"Amyloid (mycology)","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C3019447875","wikidata":"https://www.wikidata.org/wiki/Q417667","display_name":"Amyloid \u03b2","level":3,"score":0.2565000057220459},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25200000405311584}],"mesh":[{"descriptor_ui":"D000098409","descriptor_name":"Representation Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D005123","descriptor_name":"Eye","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","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":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016229","descriptor_name":"Amyloid beta-Peptides","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1016/j.neuroimage.2026.122081","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2026.122081","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},{"id":"pmid:42379406","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42379406","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":"NeuroImage","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1016/j.neuroimage.2026.122081","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neuroimage.2026.122081","pdf_url":null,"source":{"id":"https://openalex.org/S103225281","display_name":"NeuroImage","issn_l":"1053-8119","issn":["1053-8119","1095-9572"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NeuroImage","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1605885548","https://openalex.org/W1992265439","https://openalex.org/W2069440543","https://openalex.org/W2115017507","https://openalex.org/W2124030567","https://openalex.org/W2194775991","https://openalex.org/W2295598076","https://openalex.org/W2464708700","https://openalex.org/W2521439892","https://openalex.org/W2750510345","https://openalex.org/W2752782242","https://openalex.org/W2798054687","https://openalex.org/W2883629716","https://openalex.org/W2884982789","https://openalex.org/W2923997689","https://openalex.org/W2962858109","https://openalex.org/W2973454555","https://openalex.org/W2999293301","https://openalex.org/W3091146869","https://openalex.org/W3091921880","https://openalex.org/W3113993613","https://openalex.org/W3167429032","https://openalex.org/W3170129735","https://openalex.org/W3196811303","https://openalex.org/W4210987525","https://openalex.org/W4229059415","https://openalex.org/W4243150065","https://openalex.org/W4320033104","https://openalex.org/W4362650702","https://openalex.org/W4372047213","https://openalex.org/W4384819366","https://openalex.org/W4388219479","https://openalex.org/W4390655868","https://openalex.org/W4391109864","https://openalex.org/W4399538499","https://openalex.org/W4402761919","https://openalex.org/W4404600585","https://openalex.org/W4410508242","https://openalex.org/W4413111746"],"related_works":[],"abstract_inverted_index":{"The":[0],"eye":[1],"is":[2,26,55,88],"often":[3],"described":[4],"as":[5],"a":[6,14,27,58,142,153,185,255],"window":[7],"to":[8,39,56,61,89,160],"the":[9,34,63,136,158,170,173,224,242,275],"brain":[10,82,198,239],"and":[11,75,115,131,150,181,193,237,260],"may":[12],"offer":[13],"non-invasive":[15],"opportunity":[16],"for":[17,220,226,277],"investigating":[18],"neurodegenerative":[19],"changes.":[20],"Although":[21],"cerebral":[22],"amyloid-\u03b2":[23],"(A\u03b2)":[24],"accumulation":[25],"well-established":[28],"hallmark":[29],"of":[30,36,42,68,120,244,264],"Alzheimer\u2019s":[31],"disease":[32],"(AD),":[33],"potential":[35],"ocular":[37,66,102,175,235],"regions":[38,67],"capture":[40],"aspects":[41],"this":[43],"pathology":[44],"in":[45,165,267],"positron":[46],"emission":[47],"tomography":[48],"(PET)":[49],"remains":[50],"underexplored.":[51],"Our":[52,85],"primary":[53],"objective":[54,87],"conduct":[57],"radiomics\u2013SUVR":[59,171],"analysis":[60],"investigate":[62],"relationship":[64],"between":[65,234],"interest":[69],"(ROI)":[70],"extracted":[71,192],"from":[72,80,94,109,123],"PET":[73,83,130,149,272],"imaging":[74,99,167],"regional":[76,197,238],"SUVR":[77],"values":[78],"obtained":[79],"six":[81],"regions.":[84],"secondary":[86],"address":[90],"domain":[91,163],"shifts":[92,164],"arising":[93],"heterogeneous":[95],"data":[96],"distributions":[97],"across":[98],"sites":[100],"during":[101],"segmentation.":[103],"This":[104],"study":[105,253],"included":[106],"228":[107],"participants":[108,122],"Chonnam":[110],"National":[111],"University":[112],"Hospital":[113],"(CNUH)":[114],"an":[116,210],"external":[117],"validation":[118],"cohort":[119],"50":[121],"ADNI-4,":[124],"all":[125],"with":[126,195],"paired":[127],"18":[128,270],"F-florbetaben":[129],"3D":[132],"T2-weighted":[133],"MRI.":[134],"For":[135,169],"segmentation":[137,258],"task,":[138],"we":[139],"propose":[140],"HCA-Net,":[141],"Hierarchical":[143],"Cross-Attention":[144],"Network":[145],"that":[146],"integrates":[147],"co-registered":[148],"MRI":[151],"using":[152,184,200],"multi-scale":[154],"fusion":[155],"strategy,":[156],"allowing":[157],"model":[159],"better":[161],"handle":[162],"cross-site":[166,257],"conditions.":[168],"analysis,":[172],"segmented":[174],"ROI":[176],"was":[177],"classified":[178],"into":[179],"A\u03b2\u207a":[180],"A\u03b2\u207b":[182],"groups":[183],"CNN":[186],"model.":[187],"Radiomic":[188],"features":[189,205],"were":[190],"then":[191],"compared":[194],"corresponding":[196],"SUVRs":[199],"statistical":[201],"methods.":[202],"While":[203],"several":[204],"showed":[206],"group":[207],"differences":[208],"at":[209],"uncorrected":[211],"threshold,":[212],"only":[213],"one":[214],"feature":[215],"remained":[216],"significant":[217],"after":[218],"correction":[219],"multiple":[221],"comparisons":[222],"highlighting":[223,241,274],"need":[225,276],"further":[227,278],"validation.":[228,279],"Correlation":[229],"analyses":[230],"identified":[231],"modest":[232],"associations":[233,266],"radiomics":[236],"SUVRs,":[240],"influence":[243],"global":[245],"amyloid":[246],"burden":[247],"on":[248],"these":[249],"relationships.":[250],"Overall,":[251],"our":[252],"presents":[254],"multimodal":[256],"framework":[259],"provides":[261],"preliminary":[262],"evidence":[263],"neuro-ocular":[265],"AD":[268],"through":[269],"F-FBB":[271],"imaging,":[273]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-07-01T00:00:00"}