{"id":"https://openalex.org/W3007274952","doi":"https://doi.org/10.1117/12.2549038","title":"Deep learning of volumetric 3D CNN for fMRI in Alzheimer\u2019s disease classification","display_name":"Deep learning of volumetric 3D CNN for fMRI in Alzheimer\u2019s disease classification","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3007274952","doi":"https://doi.org/10.1117/12.2549038","mag":"3007274952"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549038","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging","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/A5070832958","display_name":"Harshit Parmar","orcid":"https://orcid.org/0000-0003-1506-6873"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Harshit S. Parmar","raw_affiliation_strings":["Texas Tech Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Texas Tech Univ. (United States)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041609210","display_name":"Brian Nutter","orcid":"https://orcid.org/0009-0006-3033-3596"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Nutter","raw_affiliation_strings":["Texas Tech Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Texas Tech Univ. (United States)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073305817","display_name":"L. Rodney Long","orcid":"https://orcid.org/0000-0002-6218-7806"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]},{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rodney Long","raw_affiliation_strings":["U.S. National Library of Medicine, National Institutes of Health (United States)"],"affiliations":[{"raw_affiliation_string":"U.S. National Library of Medicine, National Institutes of Health (United States)","institution_ids":["https://openalex.org/I2800548410","https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073995883","display_name":"Sameer Antani","orcid":"https://orcid.org/0000-0002-0040-1387"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]},{"id":"https://openalex.org/I2800548410","display_name":"United States National Library of Medicine","ror":"https://ror.org/0060t0j89","country_code":"US","type":"archive","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sameer Antani","raw_affiliation_strings":["U.S. National Library of Medicine, National Institutes of Health (United States)"],"affiliations":[{"raw_affiliation_string":"U.S. National Library of Medicine, National Institutes of Health (United States)","institution_ids":["https://openalex.org/I2800548410","https://openalex.org/I1299303238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113580077","display_name":"Sunanda Mitra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunanda Mitra","raw_affiliation_strings":["Texas Tech Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Texas Tech Univ. (United States)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070832958"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3386,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.78861353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9869999885559082,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6108734011650085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5992513298988342},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5435197353363037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39206814765930176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6108734011650085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5992513298988342},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5435197353363037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39206814765930176}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2549038","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2773120646","https://openalex.org/W2733060750","https://openalex.org/W2738221750","https://openalex.org/W4245792239","https://openalex.org/W3108696707","https://openalex.org/W4317987726","https://openalex.org/W4211209597","https://openalex.org/W2587789887","https://openalex.org/W3208028783","https://openalex.org/W2503569529"],"abstract_inverted_index":{"Functional":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"has":[4],"a":[5,59,73,106,131],"potential":[6],"to":[7,32,42,64,133],"provide":[8],"insight":[9],"into":[10],"early":[11],"detectors":[12],"or":[13],"biomarkers":[14,135],"for":[15,136],"various":[16],"neurological":[17,137],"disorders.":[18],"With":[19],"the":[20,66,91,96,121],"advent":[21],"of":[22,58,68,100,123,144],"recent":[23],"developments":[24],"in":[25,72,115],"deep":[26,52,109],"learning,":[27],"it":[28],"may":[29],"be":[30],"possible":[31],"extract":[33],"detailed":[34],"information":[35],"from":[36,90],"neuroimaging":[37],"data":[38],"that":[39,55],"is":[40],"difficult":[41],"acquire":[43],"using":[44,124],"traditional":[45,97],"techniques.":[46],"Here":[47],"we":[48],"propose":[49],"one":[50],"such":[51],"learning":[53,110],"approach":[54,83],"makes":[56],"use":[57,143],"3D":[60],"Convolutional":[61],"Neural":[62],"Network":[63],"predict":[65],"onset":[67],"Alzheimer\u2019s":[69,116],"disease":[70,117],"even":[71],"single":[74],"subject":[75],"based":[76],"on":[77],"resting":[78],"state":[79],"fMRI":[80],"data.":[81],"This":[82,119],"extracts":[84],"both":[85],"spatial":[86],"and":[87,94,128,139],"temporal":[88],"features":[89],"4D":[92],"volume":[93],"eliminates":[95],"complicated":[98],"steps":[99],"feature":[101,126],"extraction.":[102],"In":[103],"our":[104],"experiments,":[105],"relatively":[107],"simple":[108],"architecture":[111],"yields":[112],"high":[113],"performance":[114],"classification.":[118],"illustrates":[120],"possibility":[122],"volumetric":[125],"extractors":[127],"classifiers":[129],"as":[130],"tool":[132],"obtain":[134],"disorders":[138],"another":[140],"step":[141],"towards":[142],"clinical":[145],"fMRI.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}