{"id":"https://openalex.org/W2057557144","doi":"https://doi.org/10.1109/acssc.2014.7094518","title":"Learning with multi-site fMRI graph data","display_name":"Learning with multi-site fMRI graph data","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2057557144","doi":"https://doi.org/10.1109/acssc.2014.7094518","mag":"2057557144"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2014.7094518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2014.7094518","pdf_url":null,"source":{"id":"https://openalex.org/S4363608593","display_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://archive-ouverte.unige.ch/unige:77751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073888048","display_name":"Gabriel Castrill\u00f3n","orcid":"https://orcid.org/0000-0001-7047-906X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Gabriel Castrillon","raw_affiliation_strings":["Computer Assisted Medical Procedures Technische Universit\u00e4t, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Assisted Medical Procedures Technische Universit\u00e4t, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032830458","display_name":"Ahmad Ahmadi","orcid":"https://orcid.org/0000-0003-0276-9027"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ahmad Ahmadi","raw_affiliation_strings":["Computer Assisted Medical Procedures Technische Universit\u00e4t, M\u00fcnchen, Germany","Department of Neurology, Klinikum Grosshadern Ludwig-Maximilians Universit\u00e4t, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Assisted Medical Procedures Technische Universit\u00e4t, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Department of Neurology, Klinikum Grosshadern Ludwig-Maximilians Universit\u00e4t, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046896448","display_name":"Nassir Navab","orcid":"https://orcid.org/0000-0002-6032-5611"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nassir Navab","raw_affiliation_strings":["Computer Assisted Medical Procedures Technische Universit\u00e4t, M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Assisted Medical Procedures Technische Universit\u00e4t, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037272620","display_name":"Jonas Richiardi","orcid":"https://orcid.org/0000-0002-6975-5634"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Jonas Richiardi","raw_affiliation_strings":["Functional Imaging in Neuropsychiatric Disorders Laboratory, Stanford University, USA","Laboratory for Neurology and Imaging of Cognition, University of Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Functional Imaging in Neuropsychiatric Disorders Laboratory, Stanford University, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Laboratory for Neurology and Imaging of Cognition, University of Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3565,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78064516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"608","last_page":"612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9853000044822693,"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"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.984499990940094,"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/discriminative-model","display_name":"Discriminative model","score":0.9048714637756348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7453480958938599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6564843058586121},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6527582406997681},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6472346782684326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6050825715065002},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5293071269989014},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5042661428451538},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5017871856689453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4571227729320526},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.45265477895736694},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4413360357284546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39208269119262695},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24448120594024658},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18094202876091003},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17346835136413574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13571584224700928},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09605753421783447}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9048714637756348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453480958938599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6564843058586121},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6527582406997681},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6472346782684326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6050825715065002},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5293071269989014},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5042661428451538},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5017871856689453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4571227729320526},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.45265477895736694},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4413360357284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39208269119262695},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24448120594024658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18094202876091003},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17346835136413574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13571584224700928},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09605753421783447},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2014.7094518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2014.7094518","pdf_url":null,"source":{"id":"https://openalex.org/S4363608593","display_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:unige.ch:aou:unige:77751","is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:77751","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers (2014)\\n          ","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:unige.ch:aou:unige:77751","is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:77751","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers (2014)\\n          ","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309445","display_name":"Leon Levy Foundation","ror":"https://ror.org/033hnyq61"},{"id":"https://openalex.org/F4320328348","display_name":"Bayerisch-Kalifornischen Hochschulzentrum","ror":null},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1971857019","https://openalex.org/W1971937094","https://openalex.org/W1982058506","https://openalex.org/W1991026498","https://openalex.org/W2014886698","https://openalex.org/W2056944867","https://openalex.org/W2058046532","https://openalex.org/W2060464767","https://openalex.org/W2066636486","https://openalex.org/W2071869259","https://openalex.org/W2101219946","https://openalex.org/W2105037799","https://openalex.org/W2118693417","https://openalex.org/W2120759354","https://openalex.org/W2130578089","https://openalex.org/W2145642814","https://openalex.org/W2146722826","https://openalex.org/W2151191578","https://openalex.org/W4233013678","https://openalex.org/W6682327149"],"related_works":["https://openalex.org/W1652783584","https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W1990254706","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2321141263","https://openalex.org/W4312650805","https://openalex.org/W3010949679","https://openalex.org/W2528407067"],"abstract_inverted_index":{"Neuroimaging":[0],"data":[1],"collection":[2],"is":[3,8],"very":[4,118],"costly,":[5],"and":[6,49,111],"acquisition":[7],"commonly":[9],"distributed":[10],"across":[11,43],"multiple":[12],"sites.":[13],"However,":[14],"factors":[15],"such":[16],"as":[17,65,67],"different":[18],"noise":[19],"characteristics":[20],"or":[21],"inhomogeneities":[22],"make":[23],"it":[24],"difficult":[25],"to":[26,76],"successfully":[27],"combine":[28],"multi-site":[29],"functional":[30,62],"imaging":[31],"data.":[32],"Here,":[33],"we":[34],"show":[35,112],"that":[36,50,86,113],"the":[37,72,104],"distribution":[38],"of":[39],"signal":[40],"quality":[41],"measures":[42],"scanners":[44],"can":[45,116],"be":[46],"significantly":[47],"different,":[48],"this":[51],"will":[52],"have":[53],"an":[54],"impact":[55],"on":[56],"correlation":[57],"estimators":[58],"necessary":[59],"for":[60],"computing":[61],"connectivity":[63],"graphs":[64],"well":[66],"topological":[68],"features":[69],"extracted":[70],"from":[71],"graphs.":[73],"We":[74,99],"propose":[75],"find":[77],"a":[78,83,108],"stable":[79],"subspace":[80],"by":[81],"using":[82],"discriminative":[84,96],"projection":[85],"does":[87],"not":[88],"only":[89],"minimise":[90],"site":[91],"differences,":[92],"but":[93],"also":[94],"preserves":[95],"class":[97],"information.":[98],"compare":[100],"our":[101],"method":[102],"with":[103],"\u201cregressing-out\u201d":[105],"approach":[106],"in":[107],"cross-validation":[109],"setting":[110],"regressing":[114],"out":[115],"yield":[117],"poor":[119],"results.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}