{"id":"https://openalex.org/W4385694479","doi":"https://doi.org/10.1109/ssp53291.2023.10208072","title":"AutoEncoder-based Feature Ranking for Predicting Mild Cognitive Impairment Conversion using FDG-PET Images","display_name":"AutoEncoder-based Feature Ranking for Predicting Mild Cognitive Impairment Conversion using FDG-PET Images","publication_year":2023,"publication_date":"2023-07-02","ids":{"openalex":"https://openalex.org/W4385694479","doi":"https://doi.org/10.1109/ssp53291.2023.10208072"},"language":"en","primary_location":{"id":"doi:10.1109/ssp53291.2023.10208072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp53291.2023.10208072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},"type":"article","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/A5110468987","display_name":"Ph\u1ea1m Minh Tu\u1ea5n","orcid":null},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR","VN"],"is_corresponding":false,"raw_author_name":"Pham Minh Tuan","raw_affiliation_strings":["Aix-Marseille Université,Marseille,France","University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aix-Marseille Université,Marseille,France","institution_ids":["https://openalex.org/I21491767"]},{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I177233841"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069979656","display_name":"Nguyen Linh Trung","orcid":"https://orcid.org/0000-0002-3103-994X"},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Linh Trung","raw_affiliation_strings":["University of Engineering and Technology, Vietnam National University,Hanoi,Vietnam","University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University,Hanoi,Vietnam","institution_ids":["https://openalex.org/I177233841"]},{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I177233841"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102710247","display_name":"Mouloud Adel","orcid":"https://orcid.org/0000-0003-2840-0172"},"institutions":[{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mouloud Adel","raw_affiliation_strings":["Aix-Marseille Université,Marseille,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aix-Marseille Université,Marseille,France","institution_ids":["https://openalex.org/I21491767"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069080920","display_name":"\u00c9ric Guedj","orcid":"https://orcid.org/0000-0003-1912-6132"},"institutions":[{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Guedj","raw_affiliation_strings":["Aix-Marseille Université,Marseille,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aix-Marseille Université,Marseille,France","institution_ids":["https://openalex.org/I21491767"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78090023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"720","last_page":"724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9843000173568726,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9843000173568726,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9832000136375427,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9771999716758728,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7977715730667114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6914977431297302},{"id":"https://openalex.org/keywords/cognitive-impairment","display_name":"Cognitive impairment","score":0.6279066205024719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6055735349655151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978012084960938},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5931752920150757},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5196574926376343},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.42500758171081543},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.2884504795074463},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17177096009254456},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15922138094902039},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.14528721570968628},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14414802193641663},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09322395920753479}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7977715730667114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6914977431297302},{"id":"https://openalex.org/C2984915365","wikidata":"https://www.wikidata.org/wiki/Q5141203","display_name":"Cognitive impairment","level":3,"score":0.6279066205024719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6055735349655151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978012084960938},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5931752920150757},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5196574926376343},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.42500758171081543},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.2884504795074463},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17177096009254456},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15922138094902039},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.14528721570968628},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14414802193641663},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09322395920753479},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp53291.2023.10208072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp53291.2023.10208072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W977923474","https://openalex.org/W2036461653","https://openalex.org/W2065127775","https://openalex.org/W2102409316","https://openalex.org/W2114953476","https://openalex.org/W2132680220","https://openalex.org/W2467160851","https://openalex.org/W2728134957","https://openalex.org/W2787225914","https://openalex.org/W2793668604","https://openalex.org/W2968011574","https://openalex.org/W3001097027","https://openalex.org/W3116551730","https://openalex.org/W3211091912","https://openalex.org/W4239510810","https://openalex.org/W4289236186","https://openalex.org/W6675401909","https://openalex.org/W6677116283","https://openalex.org/W6773505658"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"Alzheimer\u2019s":[0],"Disease":[1],"(AD)":[2],"is":[3,19,145],"a":[4,45,117,142],"most":[5],"common":[6],"type":[7],"of":[8,17,51,54,113],"neurodegenerative":[9],"brain":[10,52,72],"disease":[11],"in":[12,71],"elderly":[13],"people.":[14],"Early":[15],"diagnosis":[16],"AD":[18],"crucial":[20],"for":[21,47,127],"providing":[22],"suitable":[23],"care.":[24],"Positron":[25],"Emission":[26],"Tomography":[27],"(PET)":[28],"images":[29,74],"and":[30,106],"machine":[31],"learning":[32],"can":[33,122],"be":[34,134],"used":[35],"to":[36,57,95,137],"support":[37],"this":[38,41],"purpose.":[39],"In":[40],"paper,":[42],"we":[43,121],"present":[44],"method":[46,88,132],"ranking":[48,99],"the":[49,81],"effectiveness":[50],"regions":[53],"interest":[55],"(ROI)":[56],"distinguish":[58],"between":[59],"stable":[60],"mild":[61,67],"cognitive":[62,68],"impairment":[63,69],"(sMCI)":[64],"from":[65],"progressive":[66],"(pMCI)":[70],"PET":[73],"based":[75],"on":[76,80,115],"AutoEncoder":[77],"(AE).":[78],"Experiments":[79],"ADNI":[82],"dataset":[83,140],"show":[84],"that":[85,111],"our":[86],"proposed":[87,131],"significantly":[89],"improves":[90],"classifier":[91],"performance":[92],"when":[93],"compared":[94],"other":[96],"popular":[97],"feature":[98,128,143],"methods":[100],"such":[101],"as":[102],"Fisher":[103],"score,":[104],"T-score,":[105],"Lasso.":[107],"Our":[108],"results":[109],"suggest":[110],"instead":[112],"focusing":[114],"designing":[116],"complex":[118],"AE":[119],"structure,":[120],"also":[123],"use":[124],"simple-but-multiple":[125],"AEs":[126],"ranking.":[129],"The":[130],"could":[133],"easily":[135],"applied":[136],"any":[138],"image":[139],"where":[141],"selection":[144],"needed.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}