{"id":"https://openalex.org/W2262092024","doi":"https://doi.org/10.1007/978-3-319-24888-2_31","title":"Multi-view Classification for Identification of Alzheimer\u2019s Disease","display_name":"Multi-view Classification for Identification of Alzheimer\u2019s Disease","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2262092024","doi":"https://doi.org/10.1007/978-3-319-24888-2_31","mag":"2262092024","pmid":"https://pubmed.ncbi.nlm.nih.gov/26900608"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-24888-2_31","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24888-2_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-24888-2_31","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037340898","display_name":"Xiaofeng Zhu","orcid":"https://orcid.org/0000-0001-6840-0578"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhu","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033720496","display_name":"Heung\u2010Il Suk","orcid":"https://orcid.org/0000-0001-7019-8962"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heung-Il Suk","raw_affiliation_strings":["Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108217303","display_name":"Yonghua Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Zhu","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075744244","display_name":"Kim\u2010Han Thung","orcid":"https://orcid.org/0000-0003-1379-2185"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kim-Han Thung","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021809690","display_name":"Guorong Wu","orcid":"https://orcid.org/0000-0002-0550-6145"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guorong Wu","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000937401"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":null,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9352","issue":null,"first_page":"255","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9976000189781189,"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/T14144","display_name":"Neurological Disease Mechanisms and Treatments","score":0.9937999844551086,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8247174024581909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7827466726303101},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.6948687434196472},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.680395781993866},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6418497562408447},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6194858551025391},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5494229197502136},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5141106247901917},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5000345706939697},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49292755126953125},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46153056621551514},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42233386635780334},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.41902515292167664},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2593245506286621}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8247174024581909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7827466726303101},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.6948687434196472},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.680395781993866},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6418497562408447},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6194858551025391},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5494229197502136},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5141106247901917},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5000345706939697},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49292755126953125},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46153056621551514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42233386635780334},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.41902515292167664},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2593245506286621},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-24888-2_31","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24888-2_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmid:26900608","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26900608","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine learning in medical imaging. MLMI (Workshop)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4758364","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4758364","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mach Learn Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-24888-2_31","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24888-2_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5}],"awards":[{"id":"https://openalex.org/G1237273887","display_name":null,"funder_award_id":"R01 AG042599","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G1520354424","display_name":null,"funder_award_id":"R01 AG041721","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G1529334509","display_name":null,"funder_award_id":"R01 EB008374","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G2391590095","display_name":null,"funder_award_id":"R01 MH100217","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G6623160951","display_name":null,"funder_award_id":"R01 EB006733","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7662282662","display_name":null,"funder_award_id":"R01 EB009634","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W16591383","https://openalex.org/W330852843","https://openalex.org/W1550018017","https://openalex.org/W1974874858","https://openalex.org/W1996584879","https://openalex.org/W2000292092","https://openalex.org/W2002370809","https://openalex.org/W2017237939","https://openalex.org/W2032365301","https://openalex.org/W2042683698","https://openalex.org/W2045875109","https://openalex.org/W2047896044","https://openalex.org/W2059484129","https://openalex.org/W2073301055","https://openalex.org/W2089302686","https://openalex.org/W2111904075","https://openalex.org/W2135635284","https://openalex.org/W2153171432","https://openalex.org/W2171723438","https://openalex.org/W2561675875","https://openalex.org/W4240107639","https://openalex.org/W4388279027"],"related_works":["https://openalex.org/W2327340211","https://openalex.org/W2027542625","https://openalex.org/W4292199793","https://openalex.org/W2282195379","https://openalex.org/W2089784006","https://openalex.org/W2295388821","https://openalex.org/W2102312026","https://openalex.org/W2885663991","https://openalex.org/W2071433170","https://openalex.org/W1576025770"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,21],"propose":[4,40],"a":[5],"multi-view":[6,146,188],"learning":[7,147],"method":[8,148,189],"using":[9],"Magnetic":[10],"Resonance":[11],"Imaging":[12],"(MRI)":[13],"data":[14],"for":[15,80],"Alzheimer\u2019s":[16,178],"Disease":[17,179],"(AD)":[18],"diagnosis.":[19,82],"Specifically,":[20],"extract":[22],"both":[23,65,197],"Region-Of-Interest":[24],"(ROI)":[25],"features":[26,33,43,49,68,72,88,94,102,121,136],"and":[27,38,54,69,158,200],"Histograms":[28],"of":[29,47,85,92,128,166],"Oriented":[30],"Gradient":[31],"(HOG)":[32],"from":[34,103,176],"each":[35],"MRI":[36,174],"image,":[37],"then":[39],"mapping":[41,86],"HOG":[42,67,87,135],"onto":[44,89],"the":[45,76,90,153,161,164,173,177,186],"space":[46,91],"ROI":[48,71,93,120],"to":[50,55,75,96,124,142,151,159],"make":[51],"them":[52],"comparable":[53,110],"impose":[56],"high":[57],"intra-class":[58],"similarity":[59],"with":[60],"low":[61],"inter-class":[62],"similarity.":[63],"Finally,":[64],"mapped":[66],"original":[70],"are":[73,122,137],"input":[74],"support":[77],"vector":[78],"machine":[79],"AD":[81],"The":[83,144,169],"purpose":[84],"is":[95,149],"provide":[97],"complementary":[98],"information":[99],"so":[100],"that":[101,185],"different":[104],"views":[105],"can":[106],"not":[107],"only":[108],"be":[109,116],"(":[111],"i.e.,":[112],"homogeneous)":[113],"but":[114,126,139],"also":[115],"interpretable.":[117],"For":[118],"example,":[119],"robust":[123,141],"noise,":[125],"lack":[127],"reflecting":[129],"small":[130],"or":[131],"subtle":[132],"changes,":[133],"while":[134],"diverse":[138],"less":[140],"noise.":[143],"proposed":[145,187],"designed":[150],"learn":[152],"transformation":[154],"between":[155],"two":[156],"spaces":[157],"separate":[160],"classes":[162],"under":[163],"supervision":[165],"class":[167],"labels.":[168],"experimental":[170],"results":[171],"on":[172],"images":[175],"Neuroimaging":[180],"Initiative":[181],"(ADNI)":[182],"dataset":[183],"show":[184],"helps":[190],"enhance":[191],"disease":[192],"status":[193],"identification":[194],"performance,":[195],"outperforming":[196],"baseline":[198],"methods":[199],"state-of-the-art":[201],"methods.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
