{"id":"https://openalex.org/W4400770861","doi":"https://doi.org/10.1109/access.2024.3430325","title":"Alzheimer\u2019s Disease and Mild Cognitive Impairment Detection Using sMRI With Efficient Receptive Field and Enhanced Multi-Axis Attention Fusion","display_name":"Alzheimer\u2019s Disease and Mild Cognitive Impairment Detection Using sMRI With Efficient Receptive Field and Enhanced Multi-Axis Attention Fusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400770861","doi":"https://doi.org/10.1109/access.2024.3430325"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3430325","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3430325","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":null,"license_id":null,"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.2024.3430325","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037616101","display_name":"Uttam Khatri","orcid":"https://orcid.org/0000-0002-0876-3980"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Uttam Khatri","raw_affiliation_strings":["Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039844226","display_name":"Jun\u2010Hyung Kim","orcid":"https://orcid.org/0000-0003-2231-5209"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Hyung Kim","raw_affiliation_strings":["Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049515671","display_name":"Goo\u2010Rak Kwon","orcid":"https://orcid.org/0000-0003-3486-8812"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Goo-Rak Kwon","raw_affiliation_strings":["Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea","institution_ids":["https://openalex.org/I152238500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037616101"],"corresponding_institution_ids":["https://openalex.org/I152238500"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0522,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76736435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"100848","last_page":"100861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9939000010490417,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7367468476295471},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5776682496070862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5552560091018677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.531636118888855},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4710174798965454},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4491821527481079},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44569799304008484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3358299136161804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7367468476295471},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5776682496070862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5552560091018677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.531636118888855},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4710174798965454},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4491821527481079},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44569799304008484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3358299136161804}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3430325","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3430325","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d35218edd072483a8314164c9a9682ab","is_oa":true,"landing_page_url":"https://doaj.org/article/d35218edd072483a8314164c9a9682ab","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 100848-100861 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3430325","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3430325","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324070","display_name":"Ministry of Education and Research, Romania","ror":"https://ror.org/00dh5gw98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1987909254","https://openalex.org/W2007044705","https://openalex.org/W2048740905","https://openalex.org/W2049771698","https://openalex.org/W2115017507","https://openalex.org/W2171250577","https://openalex.org/W2194775991","https://openalex.org/W2561981131","https://openalex.org/W2607941059","https://openalex.org/W2752517284","https://openalex.org/W2954528538","https://openalex.org/W2960357609","https://openalex.org/W2962858109","https://openalex.org/W2962949934","https://openalex.org/W2963446712","https://openalex.org/W2970794526","https://openalex.org/W3023079706","https://openalex.org/W3101294892","https://openalex.org/W3138516171","https://openalex.org/W3174654335","https://openalex.org/W4205663767","https://openalex.org/W4211156109","https://openalex.org/W4213019189","https://openalex.org/W4214494310","https://openalex.org/W4214709605","https://openalex.org/W4224994441","https://openalex.org/W4283029781","https://openalex.org/W4287022992","https://openalex.org/W4297775537","https://openalex.org/W4312443924","https://openalex.org/W4312847199","https://openalex.org/W4323663706","https://openalex.org/W4324309277","https://openalex.org/W4365455508","https://openalex.org/W4377096463","https://openalex.org/W4382879258","https://openalex.org/W4385431294","https://openalex.org/W4386047745","https://openalex.org/W4387620292","https://openalex.org/W4387778010","https://openalex.org/W4395117961","https://openalex.org/W6637373629","https://openalex.org/W6687483927","https://openalex.org/W6737664043","https://openalex.org/W6739901393","https://openalex.org/W6800217721"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Deep":[0],"neural":[1,69],"networks":[2,70],"have":[3,31,84],"shown":[4,85],"promising":[5],"results":[6],"in":[7,46,50,87,91,100,116,126,185,234,249],"the":[8,18,29,44,57,78,92,107,171,194,199,210,241],"analysis":[9],"of":[10,20,28,53,60,80,113,173,187,196,201,255],"structural":[11],"magnetic":[12],"resonance":[13],"imaging":[14],"(sMRI)":[15],"data":[16,62],"for":[17,43,72,257,263],"diagnosis":[19],"dementia,":[21],"particularly":[22],"Alzheimer\u2019s":[23,128],"disease":[24,104],"(AD).":[25],"Different":[26],"regions":[27],"brain":[30],"diverse":[32],"structures":[33],"that":[34],"are":[35,223],"linked":[36],"to":[37,97,118,169,192,225],"specific":[38],"functions,":[39],"which":[40,94],"could":[41],"account":[42],"variability":[45],"disease-related":[47],"changes":[48],"observed":[49],"sMRI":[51,61],"scans":[52],"these":[54],"areas.":[55],"Understanding":[56],"overall":[58],"characteristics":[59,172],"is":[63,190],"important":[64],"since":[65],"current":[66],"popular":[67],"convolutional":[68],"(CNN)":[71],"deep":[73],"learning":[74],"do":[75],"not":[76],"consider":[77],"interconnection":[79],"voxels.":[81],"Vision":[82],"transformers":[83],"effectiveness":[86],"identifying":[88],"long-distance":[89],"connections":[90],"brain,":[93],"has":[95,121,166],"led":[96],"their":[98,123],"success":[99],"applications":[101],"such":[102],"as":[103,270],"detection.":[105],"However,":[106],"image":[108,119],"noise":[109],"and":[110,134,161,206,214,230,261],"limited":[111],"scalability":[112],"self-attention":[114],"mechanisms":[115],"relation":[117],"size":[120],"hindered":[122],"widespread":[124],"use":[125],"advanced":[127,152],"analysis.":[129],"To":[130],"enhance":[131,193,228],"information":[132,202],"retention":[133],"reduce":[135,226],"network":[136,184,245],"complexity,":[137],"this":[138],"study":[139],"presents":[140],"a":[141,176],"novel":[142],"adaptable":[143],"efficient":[144],"receptive":[145],"field":[146],"feature":[147,235],"extraction":[148],"network.":[149],"Moreover,":[150],"an":[151],"attention":[153,159,164],"mechanism":[154],"with":[155,252],"both":[156,204],"local":[157],"grid":[158],"block":[160],"dilated":[162],"global":[163,211],"module":[165],"been":[167],"incorporated":[168],"highlight":[170],"AD.":[174],"Next,":[175],"more":[177],"improved":[178],"hierarchical":[179],"inverted":[180],"residual":[181],"feed":[182],"forward":[183],"place":[186],"multi-layer":[188],"perceptron":[189],"suggested":[191],"characterization":[195],"features":[197],"through":[198],"integration":[200],"from":[203],"lower":[205],"higher":[207],"layers.":[208],"Finally,":[209],"average":[212,253],"pooling":[213],"<inline-formula":[215],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[216],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[217],"<tex-math":[218],"notation=\"LaTeX\">$1\\times":[219],"1$":[220],"</tex-math></inline-formula>":[221],"convolution":[222],"used":[224],"dimensionality,":[227],"non-linearity,":[229],"allow":[231],"channel":[232],"interactions":[233],"maps":[236],"before":[237],"being":[238],"input":[239],"into":[240],"classification":[242,267],"head.":[243],"The":[244],"achieved":[246],"high":[247],"performance":[248],"various":[250],"scenarios,":[251],"accuracies":[254],"97.29%":[256],"AD":[258],"vs.":[259,265],"HC":[260,266],"94.79%":[262],"MCI":[264],"using":[268],"ADNI":[269],"experimental":[271],"datasets.":[272]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2024-07-19T00:00:00"}
