{"id":"https://openalex.org/W7161828334","doi":"https://doi.org/10.1109/isbi61048.2026.11515829","title":"Cross-Attention Fusion of Structural and Deformation-Based Mri Features for Alzheimer's Disease Classification","display_name":"Cross-Attention Fusion of Structural and Deformation-Based Mri Features for Alzheimer's Disease Classification","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161828334","doi":"https://doi.org/10.1109/isbi61048.2026.11515829"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd 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/A5039225863","display_name":"Shijia Zhang","orcid":"https://orcid.org/0000-0001-6108-0321"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shijia Zhang","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136535168","display_name":"Xiyu Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiyu Ding","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136577539","display_name":"Brian Caffo","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Caffo","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136528274","display_name":"Junyu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junyu Chen","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381547","display_name":"Xinyi Zhang","orcid":"https://orcid.org/0000-0002-3173-0589"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyi Zhang","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136606411","display_name":"Hadi Kharrazi","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hadi Kharrazi","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091080273","display_name":"Zhiwen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheyu Wang","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T12417","display_name":"Morphological variations and asymmetry","score":0.1111999973654747,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.1111999973654747,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.07810000330209732,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.05889999866485596,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40619999170303345},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4036000072956085},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3772999942302704},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.30889999866485596},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.30649998784065247}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016000270843506},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40720000863075256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40619999170303345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40389999747276306},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3142000138759613},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2865999937057495},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4855467460","display_name":null,"funder_award_id":"R01AG068002","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1970928383","https://openalex.org/W2078524519","https://openalex.org/W2116608586","https://openalex.org/W2117340355","https://openalex.org/W2119848633","https://openalex.org/W2592929672","https://openalex.org/W3136481290","https://openalex.org/W3199258042","https://openalex.org/W4285097303","https://openalex.org/W4294838927","https://openalex.org/W4312428231","https://openalex.org/W4324309277","https://openalex.org/W4385245566","https://openalex.org/W4391750907","https://openalex.org/W4393172043","https://openalex.org/W7160283869"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"assessment":[1],"of":[2,128],"Alzheimer's":[3,105],"disease":[4,12],"(AD)":[5],"using":[6],"neuroimaging":[7],"is":[8,21],"important":[9],"for":[10,24,98,131,140,184],"understanding":[11],"progression":[13],"and":[14,94,116,137,160,187],"supporting":[15],"clinical":[16],"research.":[17],"Structural":[18],"MRI":[19,189],"(sMRI)":[20],"widely":[22],"used":[23],"this":[25],"purpose,":[26],"but":[27],"most":[28],"deep":[29],"learning":[30],"approaches":[31],"primarily":[32],"rely":[33],"on":[34],"intensity-based":[35],"features,":[36],"which":[37],"may":[38,68,177],"not":[39,69],"fully":[40,70],"capture":[41,71],"subtle":[42],"morphological":[43],"variations.":[44],"Jacobian":[45],"determinant":[46],"maps":[47],"(JSM)":[48],"provide":[49],"complementary":[50],"information":[51],"by":[52],"describing":[53],"localized":[54],"brain":[55],"deformations;":[56],"however,":[57],"conventional":[58],"multimodal":[59],"fusion":[60,67,84,119,158,176],"strategies":[61,159],"such":[62],"as":[63,179],"early":[64],"or":[65,163],"late":[66],"the":[72,89,104,154],"interactions":[73],"between":[74,91],"these":[75],"modalities.":[76],"To":[77],"address":[78],"this,":[79],"we":[80,110],"explore":[81],"a":[82,180],"cross-attention":[83,112,175],"approach":[85,123,152,183],"that":[86,174],"explicitly":[87],"models":[88],"relationship":[90],"sMRI":[92],"intensity":[93],"JSM-derived":[95],"deformation":[96],"features":[97,190],"AD":[99,132,192],"classification.":[100],"Using":[101],"data":[102],"from":[103],"Disease":[106],"Neuroimaging":[107],"Initiative":[108],"(ADNI),":[109],"compare":[111],"with":[113,166],"pairwise":[114],"self-attention":[115],"four":[117],"baseline":[118],"methods.":[120],"The":[121,150],"proposed":[122,151],"achieved":[124,153,161],"mean":[125],"ROC-AUC":[126],"scores":[127],"0.903":[129],"(0.033)":[130],"vs.":[133,145],"cognitively":[134],"normal":[135],"(CN)":[136],"0.692":[138],"(0.061)":[139],"mild":[141],"cognitive":[142],"impairment":[143],"(MCI)":[144],"CN":[146],"under":[147],"five-fold":[148],"cross-validation.":[149],"best":[155],"performance":[156,165],"among":[157],"higher":[162],"comparable":[164],"only":[167],"1.56":[168],"million":[169],"parameters.":[170],"These":[171],"findings":[172],"suggest":[173],"serve":[178],"potentially":[181],"useful":[182],"integrating":[185],"structural":[186],"deformation-based":[188],"in":[191],"classification":[193],"tasks.":[194]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-21T00:00:00"}