{"id":"https://openalex.org/W4409580912","doi":"https://doi.org/10.1109/access.2025.3562432","title":"Deep Learning-Based Framework for Predicting Mild Cognitive Impairment Progression in Neurology Using Longitudinal MRI","display_name":"Deep Learning-Based Framework for Predicting Mild Cognitive Impairment Progression in Neurology Using Longitudinal MRI","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409580912","doi":"https://doi.org/10.1109/access.2025.3562432"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3562432","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562432","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3562432","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080496564","display_name":"Guojiang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088329","display_name":"Jiading District Central Hospital","ror":"https://ror.org/004j26v17","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088329"]},{"id":"https://openalex.org/I4210135985","display_name":"Shanghai University of Medicine and Health Sciences","ror":"https://ror.org/03ns6aq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojiang Zheng","raw_affiliation_strings":["Department of Neurology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China","Department of Neurology, Jiading District Central Hospital Affiliated Shaighai University of Medicine Health Sciences, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210088329","https://openalex.org/I4210135985"]},{"raw_affiliation_string":"Department of Neurology, Jiading District Central Hospital Affiliated Shaighai University of Medicine Health Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210088329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067000940","display_name":"Yang L\u00fc","orcid":"https://orcid.org/0000-0002-9280-2718"},"institutions":[{"id":"https://openalex.org/I4210088329","display_name":"Jiading District Central Hospital","ror":"https://ror.org/004j26v17","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088329"]},{"id":"https://openalex.org/I4210135985","display_name":"Shanghai University of Medicine and Health Sciences","ror":"https://ror.org/03ns6aq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lu","raw_affiliation_strings":["Department of Neurology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China","Department of Neurology, Jiading District Central Hospital Affiliated Shaighai University of Medicine Health Sciences, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210088329","https://openalex.org/I4210135985"]},{"raw_affiliation_string":"Department of Neurology, Jiading District Central Hospital Affiliated Shaighai University of Medicine Health Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210088329"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hui Chen","orcid":"https://orcid.org/0009-0008-4351-9757"},"institutions":[{"id":"https://openalex.org/I4210088329","display_name":"Jiading District Central Hospital","ror":"https://ror.org/004j26v17","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210088329"]},{"id":"https://openalex.org/I4210135985","display_name":"Shanghai University of Medicine and Health Sciences","ror":"https://ror.org/03ns6aq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Chen","raw_affiliation_strings":["Department of Neurology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China","Department of Neurology, Jiading District Central Hospital Affiliated Shaighai University of Medicine Health Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-4351-9757","affiliations":[{"raw_affiliation_string":"Department of Neurology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210088329","https://openalex.org/I4210135985"]},{"raw_affiliation_string":"Department of Neurology, Jiading District Central Hospital Affiliated Shaighai University of Medicine Health Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210088329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4644,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92161327,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"68903","last_page":"68919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9818000197410583,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9818000197410583,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9502999782562256,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9289000034332275,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-impairment","display_name":"Cognitive impairment","score":0.6116014719009399},{"id":"https://openalex.org/keywords/neurology","display_name":"Neurology","score":0.5937776565551758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.561265766620636},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5588856935501099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45588362216949463},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4247607886791229},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3936387896537781},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21324628591537476},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.21007627248764038}],"concepts":[{"id":"https://openalex.org/C2984915365","wikidata":"https://www.wikidata.org/wiki/Q5141203","display_name":"Cognitive impairment","level":3,"score":0.6116014719009399},{"id":"https://openalex.org/C16568411","wikidata":"https://www.wikidata.org/wiki/Q83042","display_name":"Neurology","level":2,"score":0.5937776565551758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.561265766620636},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5588856935501099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45588362216949463},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4247607886791229},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3936387896537781},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21324628591537476},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.21007627248764038}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3562432","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562432","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:160aaf6dda71410d90b19af01bd6e65b","is_oa":true,"landing_page_url":"https://doaj.org/article/160aaf6dda71410d90b19af01bd6e65b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 68903-68919 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3562432","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562432","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2173601762","https://openalex.org/W2194775991","https://openalex.org/W2580596898","https://openalex.org/W2618530766","https://openalex.org/W2752287204","https://openalex.org/W2781877249","https://openalex.org/W2794356790","https://openalex.org/W2798054687","https://openalex.org/W2886305913","https://openalex.org/W2900856701","https://openalex.org/W2905035821","https://openalex.org/W2912541111","https://openalex.org/W2945065837","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W2976163884","https://openalex.org/W2993219936","https://openalex.org/W3017957646","https://openalex.org/W3047249376","https://openalex.org/W3063699252","https://openalex.org/W3092527447","https://openalex.org/W3094502228","https://openalex.org/W3138516171","https://openalex.org/W3158631207","https://openalex.org/W3174654335","https://openalex.org/W4226059665","https://openalex.org/W4307923847","https://openalex.org/W4311769512","https://openalex.org/W4316369019","https://openalex.org/W4318566866","https://openalex.org/W4362704266","https://openalex.org/W4366606887","https://openalex.org/W4385245566","https://openalex.org/W4385431294","https://openalex.org/W4387182937","https://openalex.org/W4387408166","https://openalex.org/W4388642353","https://openalex.org/W4389265315","https://openalex.org/W4391649643","https://openalex.org/W4392194338","https://openalex.org/W4394625534","https://openalex.org/W4402829717","https://openalex.org/W6637373629","https://openalex.org/W6755977528","https://openalex.org/W6762718338","https://openalex.org/W6790690058","https://openalex.org/W6847077501","https://openalex.org/W6849662969","https://openalex.org/W6873894395"],"related_works":["https://openalex.org/W4304987646","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W2151170441","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Alzheimer\u2019s":[0,207],"disease":[1],"(AD),":[2],"a":[3,103,170],"leading":[4],"neurodegenerative":[5,249],"disorder,":[6],"progresses":[7],"from":[8],"an":[9,225],"intermediary":[10],"stage":[11],"known":[12],"as":[13,169,252],"Mild":[14],"Cognitive":[15],"Impairment":[16],"(MCI),":[17],"characterized":[18],"by":[19,133],"measurable":[20],"cognitive":[21,200],"decline":[22],"with":[23,148],"retained":[24],"functional":[25],"independence.":[26],"Accurate":[27],"prediction":[28,263],"of":[29,124,199,227,230,233,237],"MCI":[30,268],"progression":[31],"to":[32,89,218],"AD":[33],"is":[34,241],"critical":[35,248],"for":[36,43,117,179,261],"timely":[37],"interventions.":[38],"Existing":[39],"deep":[40,106],"learning-based":[41],"methods":[42,80],"structural":[44,196],"MRI":[45],"(sMRI)":[46],"analysis":[47],"predominantly":[48],"utilize":[49],"either":[50],"Convolutional":[51],"Neural":[52],"Networks":[53],"(CNNs),":[54],"which":[55,137],"effectively":[56,138],"capture":[57],"local":[58,193],"features":[59,155,177],"but":[60],"neglect":[61],"global":[62,69,195],"context,":[63],"or":[64],"Transformer":[65,113],"architectures":[66],"that":[67,152],"model":[68],"dependencies":[70,142],"yet":[71],"require":[72],"extensive":[73],"data":[74],"and":[75,111,165,186,194,221,235,255,264],"computational":[76],"resources.":[77],"Additionally,":[78],"many":[79],"inadequately":[81],"leverage":[82],"longitudinal":[83,118,157],"imaging":[84],"data,":[85],"limiting":[86],"their":[87],"sensitivity":[88],"subtle":[90],"temporal":[91,149,187],"changes":[92,197],"in":[93,127,267],"brain":[94],"morphology.":[95],"To":[96],"overcome":[97],"these":[98],"limitations,":[99],"we":[100],"introduce":[101],"EffiSwin-MCI,":[102],"novel":[104],"hybrid":[105],"learning":[107],"framework":[108],"integrating":[109],"EfficientNet":[110],"Swin":[112,135],"architectures,":[114],"specifically":[115],"designed":[116],"sMRI":[119,145],"analysis.":[120],"The":[121],"primary":[122],"novelty":[123],"EffiSwin-MCI":[125],"lies":[126],"its":[128,258],"sliding-window":[129],"attention":[130,150,188],"mechanism,":[131],"inspired":[132],"the":[134,206,212,253],"Transformer,":[136],"integrates":[139],"localized":[140],"spatial":[141,176,185],"within":[143],"2D":[144],"slices,":[146],"combined":[147],"blocks":[151],"fuse":[153],"spatial-temporal":[154],"across":[156],"scans":[158],"at":[159],"two":[160],"distinct":[161],"time":[162],"points":[163],"(T1":[164],"T2).":[166],"EfficientNet-B2":[167],"serves":[168],"computationally":[171],"efficient":[172],"backbone,":[173],"extracting":[174],"hierarchical":[175],"crucial":[178],"detailed":[180],"morphological":[181],"characterization.":[182],"This":[183],"alternating":[184],"strategy":[189],"uniquely":[190],"captures":[191],"progressive":[192],"indicative":[198],"decline.":[201],"Comprehensive":[202],"experiments":[203],"conducted":[204],"on":[205],"Disease":[208],"ADNI":[209],"dataset":[210],"demonstrate":[211],"proposed":[213],"model\u2019s":[214],"superior":[215],"performance":[216],"compared":[217],"state-of-the-art":[219],"CNN":[220],"Transformer-based":[222],"approaches,":[223],"achieving":[224],"accuracy":[226],"81.69%,":[228],"recall":[229],"80.27%,":[231],"precision":[232],"84.35%,":[234],"F1-score":[236],"82.27%.":[238],"EffiSwin-MCI\u2019s":[239],"interpretability":[240],"further":[242],"validated":[243],"through":[244],"Grad-CAM":[245],"visualizations,":[246],"highlighting":[247],"biomarkers":[250],"such":[251],"hippocampus":[254],"amygdala,":[256],"reinforcing":[257],"clinical":[259],"relevance":[260],"early":[262],"intervention":[265],"strategies":[266],"management.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}