{"id":"https://openalex.org/W2805304354","doi":"https://doi.org/10.1109/isbi.2018.8363634","title":"Weighted group sparse functional connectivity modeling for Alzheimer's disease identification","display_name":"Weighted group sparse functional connectivity modeling for Alzheimer's disease identification","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2805304354","doi":"https://doi.org/10.1109/isbi.2018.8363634","mag":"2805304354"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","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/A5101686400","display_name":"Qinghua Zhao","orcid":"https://orcid.org/0000-0002-4909-4824"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinghua Zhao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043375633","display_name":"Xiaoshuang Sang","orcid":"https://orcid.org/0000-0002-2669-5950"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshuang Sang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037595310","display_name":"Jianfeng Lu","orcid":"https://orcid.org/0000-0002-9190-507X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101686400"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05452542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"541","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9991000294685364,"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":0.9991000294685364,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9815000295639038,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.96670001745224,"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/functional-connectivity","display_name":"Functional connectivity","score":0.7281200885772705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6854506134986877},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.668261706829071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001949906349182},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5752643942832947},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49560344219207764},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4952780306339264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4744735062122345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4220290780067444},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4104407727718353},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1760563850402832},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07518276572227478}],"concepts":[{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.7281200885772705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6854506134986877},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.668261706829071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001949906349182},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5752643942832947},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49560344219207764},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4952780306339264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4744735062122345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4220290780067444},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4104407727718353},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1760563850402832},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07518276572227478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2018.8363634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","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":12,"referenced_works":["https://openalex.org/W1987924998","https://openalex.org/W2001334414","https://openalex.org/W2007369824","https://openalex.org/W2030637554","https://openalex.org/W2086471560","https://openalex.org/W2101135654","https://openalex.org/W2122457251","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2165840723","https://openalex.org/W2168094269","https://openalex.org/W2304527985"],"related_works":["https://openalex.org/W2389818373","https://openalex.org/W2220831889","https://openalex.org/W2056226831","https://openalex.org/W3013312691","https://openalex.org/W3027421045","https://openalex.org/W4312683641","https://openalex.org/W2576320324","https://openalex.org/W3215994059","https://openalex.org/W2980386803","https://openalex.org/W4206798987"],"abstract_inverted_index":{"Constructing":[0],"functional":[1,24,42,68,74,121],"connectivity/interactions":[2],"networks":[3],"enables":[4],"better":[5],"understanding":[6],"of":[7,10,20,34],"pathological":[8],"underpinnings":[9],"neurological":[11],"disorders.":[12],"Functional":[13],"connectivity":[14,43,75,81,106],"network,":[15],"as":[16,76],"a":[17,55],"simplified":[18],"representation":[19,64],"those":[21],"structural":[22],"or":[23],"interactions,":[25],"has":[26],"been":[27],"widely":[28],"used":[29],"for":[30,46,66,90,127],"diagnosis":[31],"and":[32,118],"classification":[33,116],"neurodegenerative":[35],"diseases.":[36],"Motivated":[37],"by":[38],"recent":[39],"progress":[40],"in":[41],"network":[44,69],"analysis":[45],"Alzheimer's":[47],"disease":[48,128],"(AD).":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,72,84],"propose":[54],"novel":[56],"adjusted":[57],"cosine":[58],"similarity":[59],"weighted":[60],"group":[61],"sparse":[62],"(ACS-WGS)":[63],"method":[65,111],"brain":[67],"construction.":[70],"Then,":[71],"extract":[73],"features":[77],"from":[78],"the":[79,104,115],"constructed":[80],"networks.":[82],"Finally,":[83],"use":[85],"support":[86],"vector":[87],"machine":[88],"(SVM)":[89],"classification.":[91],"The":[92],"experimental":[93],"results":[94],"on":[95],"ADNI2":[96],"dataset":[97],"demonstrate":[98],"outperform":[99],"performance.":[100],"Furthermore,":[101],"compared":[102],"with":[103],"conventional":[105],"network-based":[107],"methods,":[108],"our":[109],"proposed":[110],"have":[112],"further":[113],"improved":[114],"performance":[117],"discover":[119],"changed":[120],"connectivity,":[122],"which":[123],"could":[124],"be":[125],"important":[126],"diagnosis.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}