{"id":"https://openalex.org/W2157944020","doi":"https://doi.org/10.1109/fuzz.2002.1006726","title":"Detecting regions of interest in fMRI: an application on exploratory-based data analysis","display_name":"Detecting regions of interest in fMRI: an application on exploratory-based data analysis","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2157944020","doi":"https://doi.org/10.1109/fuzz.2002.1006726","mag":"2157944020"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2002.1006726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2002.1006726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)","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/A5109615657","display_name":"E. Dimitriadou","orcid":null},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"E. Dimitriadou","raw_affiliation_strings":["Department of Statistics and Porbability Theory, Technical University of of Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Porbability Theory, Technical University of of Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058316985","display_name":"Markus Barth","orcid":"https://orcid.org/0000-0002-0520-1843"},"institutions":[{"id":"https://openalex.org/I2802328216","display_name":"Vienna General Hospital","ror":"https://ror.org/05f0zr486","country_code":"AT","type":"healthcare","lineage":["https://openalex.org/I2802328216"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"M. Barth","raw_affiliation_strings":["Department of Radiodiagnostics, University of General Hospital Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Radiodiagnostics, University of General Hospital Vienna, Austria","institution_ids":["https://openalex.org/I2802328216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084037593","display_name":"Christian Windischberger","orcid":"https://orcid.org/0000-0002-9944-0190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Windischberger","raw_affiliation_strings":["Institute for Medical Physics, University of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Medical Physics, University of Technology, Vienna, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078334892","display_name":"Kurt Hornik","orcid":"https://orcid.org/0000-0003-4198-9911"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"K. Hornik","raw_affiliation_strings":["Department of Statistics and Porbability Theory, Technical University of of Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Porbability Theory, Technical University of of Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041448496","display_name":"Ewald Moser","orcid":"https://orcid.org/0000-0001-8278-9583"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. Moser","raw_affiliation_strings":["Institute for Medical Physics, University of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Medical Physics, University of Technology, Vienna, Austria","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109615657"],"corresponding_institution_ids":["https://openalex.org/I129774422"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16241475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1488","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9933000206947327,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9933000206947327,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.982699990272522,"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":0.9685999751091003,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7626245617866516},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.739759624004364},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6082309484481812},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.5978121757507324},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5803791880607605},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5366456508636475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5009322166442871},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4978904724121094},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.48749351501464844},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4526207447052002},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4387020766735077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4101267457008362},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37969034910202026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19339540600776672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626245617866516},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.739759624004364},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6082309484481812},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.5978121757507324},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5803791880607605},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5366456508636475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5009322166442871},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4978904724121094},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.48749351501464844},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4526207447052002},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4387020766735077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4101267457008362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37969034910202026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19339540600776672},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz.2002.1006726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2002.1006726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.86.656","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ci.tuwien.ac.at/~dimi/oenb-papers/WCCI2002.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1549152550","https://openalex.org/W1845460054","https://openalex.org/W1968420163","https://openalex.org/W1969761972","https://openalex.org/W1975152892","https://openalex.org/W2010074235","https://openalex.org/W2023059455","https://openalex.org/W2025242337","https://openalex.org/W2029064186","https://openalex.org/W2029906715","https://openalex.org/W2049814849","https://openalex.org/W2077748623","https://openalex.org/W2081206009","https://openalex.org/W2085928025","https://openalex.org/W2087565157","https://openalex.org/W2088774650","https://openalex.org/W2094510831","https://openalex.org/W2113076747","https://openalex.org/W2130070473","https://openalex.org/W2144311078","https://openalex.org/W4229880569","https://openalex.org/W4298236029","https://openalex.org/W6681922549"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4312412183"],"abstract_inverted_index":{"Cluster":[0],"validity":[1,37],"has":[2],"been":[3],"mainly":[4],"used":[5],"to":[6,51,113,128],"evaluate":[7],"the":[8,15,31,33,42,52,71,130,133,139],"quality":[9],"of":[10,44,65,91,120,124,132,142],"individual":[11],"clusters,":[12],"and":[13,137],"compare":[14],"whole":[16],"partitions":[17,81],"resulting":[18,41,134],"from":[19],"different":[20,24],"or":[21],"same":[22],"(using":[23],"parameters)":[25],"clustering":[26,93,135],"algorithms.":[27,75],"However,":[28],"depending":[29],"on":[30,70,82,88],"application,":[32],"demands":[34],"for":[35,62],"a":[36,58,83,92,100,102,114,117],"measure":[38,126],"may":[39],"differ,":[40],"necessity":[43],"introducing":[45],"new":[46,59],"measures":[47],"which":[48,79],"will":[49],"suit":[50],"problem":[53],"under":[54],"investigation.":[55],"We":[56],"introduce":[57],"statistical":[60],"concept":[61],"quantitative":[63],"validation":[64],"fMRI":[66,143],"analysis":[67,74],"methods":[68],"based":[69],"exploratory":[72],"data":[73,109],"A":[76],"\"greedy\"":[77],"algorithm":[78,94],"combines":[80],"sequential":[84],"basis":[85],"is":[86,105,111,127],"applied":[87],"100":[89],"runs":[90],"with":[95,116],"randomized":[96],"cluster":[97,115],"initialization.":[98],"As":[99],"result,":[101],"fuzzy":[103],"partition":[104],"derived":[106],"where":[107],"every":[108],"point":[110],"assigned":[112],"certain":[118],"degree":[119],"\"support\".":[121],"The":[122],"purpose":[123],"this":[125],"check":[129],"stability":[131],"structures":[136],"improve":[138],"diagnostic":[140],"reliability":[141],"post-processing":[144],"strategies.":[145]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}