{"id":"https://openalex.org/W4410296116","doi":"https://doi.org/10.1109/isbi60581.2025.10981081","title":"Explainsegnet: Interpretable Segmentation for Alzheimer's Diagnosis","display_name":"Explainsegnet: Interpretable Segmentation for Alzheimer's Diagnosis","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296116","doi":"https://doi.org/10.1109/isbi60581.2025.10981081"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10981081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd 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/A5014395951","display_name":"Juntao Su","orcid":"https://orcid.org/0009-0003-1841-0913"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juntao Su","raw_affiliation_strings":["The George Washington University,Washington,DC,USA,20052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University,Washington,DC,USA,20052","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073762312","display_name":"Syed Muhammad Anwar","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed Muhammad Anwar","raw_affiliation_strings":["The George Washington University,Washington,DC,USA,20052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University,Washington,DC,USA,20052","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101706801","display_name":"Fang Jin","orcid":"https://orcid.org/0000-0002-6606-5232"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fang Jin","raw_affiliation_strings":["The George Washington University,Washington,DC,USA,20052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University,Washington,DC,USA,20052","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193531525"],"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":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.8313999772071838,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.8313999772071838,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7847999930381775,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5992668867111206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5945772528648376},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5876928567886353},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41173601150512695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36783868074417114},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3438267707824707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5992668867111206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5945772528648376},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5876928567886353},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41173601150512695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36783868074417114},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3438267707824707}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10981081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1768164952","display_name":null,"funder_award_id":"NSF IIS-2238700","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3204019825","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0],"study":[1],"focuses":[2],"on":[3],"enhancing":[4,133],"the":[5,20,71,74,108,116,125],"accuracy":[6],"of":[7,58,73,118,128],"predicting":[8],"Alzheimer's":[9,21],"disease,":[10],"mild":[11],"cognitive":[12],"impairment,":[13],"and":[14,39,98,111],"normal":[15],"control":[16],"cases.":[17],"We":[18],"leverage":[19],"Disease":[22],"Neuroimaging":[23],"Initiative":[24],"(ADNI)":[25],"dataset-":[26],"comprising":[27],"3D":[28,46],"structural":[29],"magnetic":[30],"resonance":[31],"imaging":[32],"brain":[33,96,130],"scans,":[34],"for":[35],"our":[36,59],"method":[37],"development":[38],"evaluation.":[40],"Our":[41,113],"analysis":[42],"utilizes":[43],"a":[44],"residual":[45],"convolutional":[47],"neural":[48],"network":[49],"(equipped":[50],"with":[51],"4":[52],"attention":[53,75],"layers).":[54],"The":[55],"core":[56],"contributions":[57],"work":[60],"are":[61],"twofold:":[62],"firstly,":[63],"we":[64,83],"have":[65,84],"innovatively":[66],"integrated":[67],"clinical":[68],"expertise":[69],"into":[70],"initialization":[72],"layer's":[76],"weights":[77],"through":[78],"whole-brain":[79],"segmentation":[80,131],"technique;":[81],"secondly,":[82],"employed":[85],"various":[86],"state-of-the-art":[87],"model":[88],"interpretation":[89],"techniques.":[90],"These":[91],"techniques":[92],"effectively":[93],"annotate":[94],"influential":[95],"regions":[97],"demonstrate":[99],"promising":[100],"results":[101],"within":[102],"neuroimaging":[103],"analysis,":[104],"as":[105],"reflected":[106],"in":[107,121,132],"key":[109],"metrics":[110],"outcomes.":[112],"findings":[114],"underscore":[115],"potential":[117],"deep":[119],"learning":[120],"neuroimaging,":[122],"especially":[123],"highlighting":[124],"critical":[126],"role":[127],"comprehensive":[129],"diagnostic":[134],"accuracy.":[135]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}