{"id":"https://openalex.org/W2744144102","doi":"https://doi.org/10.1145/3097983.3098194","title":"Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes","display_name":"Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes","publication_year":2017,"publication_date":"2017-08-04","ids":{"openalex":"https://openalex.org/W2744144102","doi":"https://doi.org/10.1145/3097983.3098194","mag":"2744144102"},"language":"en","primary_location":{"id":"doi:10.1145/3097983.3098194","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3097983.3098194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083951021","display_name":"Uesaka Toshimitsu","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshimitsu Uesaka","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114115269","display_name":"Kai Morino","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kai Morino","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036061010","display_name":"Hiroki Sugiura","orcid":"https://orcid.org/0000-0002-6999-3827"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Sugiura","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052437707","display_name":"Taichi Kiwaki","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taichi Kiwaki","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114752541","display_name":"Hiroshi Murata","orcid":"https://orcid.org/0000-0001-8004-991X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Murata","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042150834","display_name":"Ryo Asaoka","orcid":"https://orcid.org/0000-0001-7182-1912"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Asaoka","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021981442","display_name":"Kenji Yamanishi","orcid":"https://orcid.org/0000-0001-7370-9991"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Yamanishi","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.2686,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81280673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2041","last_page":"2050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6854966878890991},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.6435931324958801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.569615364074707},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.46035951375961304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39831456542015076},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.3711965084075928},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21083515882492065},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09041336178779602}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6854966878890991},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.6435931324958801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569615364074707},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.46035951375961304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39831456542015076},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.3711965084075928},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21083515882492065},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09041336178779602},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3097983.3098194","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3097983.3098194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1667265675","https://openalex.org/W1670132599","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1893258488","https://openalex.org/W1983873315","https://openalex.org/W2006546373","https://openalex.org/W2018784944","https://openalex.org/W2020112862","https://openalex.org/W2029335553","https://openalex.org/W2035661321","https://openalex.org/W2042426752","https://openalex.org/W2060742460","https://openalex.org/W2081986312","https://openalex.org/W2089479074","https://openalex.org/W2094808655","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2114709723","https://openalex.org/W2115594062","https://openalex.org/W2117539524","https://openalex.org/W2119821739","https://openalex.org/W2135029798","https://openalex.org/W2140591816","https://openalex.org/W2144359569","https://openalex.org/W2145587966","https://openalex.org/W2163605009","https://openalex.org/W2166083260","https://openalex.org/W2310817660","https://openalex.org/W2344493288","https://openalex.org/W2404400936","https://openalex.org/W2405459681","https://openalex.org/W2418802570","https://openalex.org/W4239510810","https://openalex.org/W6636883489","https://openalex.org/W6638444622","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W806426592","https://openalex.org/W2581058164","https://openalex.org/W2014650635","https://openalex.org/W98850343","https://openalex.org/W3200148356","https://openalex.org/W1976080914","https://openalex.org/W2283348679","https://openalex.org/W2033594118","https://openalex.org/W2922538359"],"abstract_inverted_index":{"Dense":[0],"measurements":[1],"of":[2,20,28,57,92,97,121,139,176,189],"visual-field,":[3],"which":[4,83,111],"is":[5,10,32,84,104,180],"necessary":[6],"to":[7,53,86,184],"detect":[8],"glaucoma,":[9],"known":[11],"as":[12],"very":[13,113],"costly":[14,25],"and":[15,94,129],"labor":[16],"intensive.":[17],"Recently,":[18],"measurement":[19,27],"retinal-thickness":[21,37,66,195],"can":[22],"be":[23,39],"less":[24],"than":[26],"visual-field.":[29],"Thus,":[30],"it":[31],"sincerely":[33],"desired":[34],"that":[35,147],"the":[36,55,58,90,95,102,137,174,181,186,190,194],"could":[38],"transformed":[40],"into":[41],"visual-sensitivity":[42],"data":[43,67,132,154,162],"somehow.":[44],"In":[45,164],"this":[46,179],"paper,":[47],"we":[48],"propose":[49],"two":[50],"novel":[51],"methods":[52,118,124,141],"estimate":[54],"sensitivity":[56],"visual-field":[59,93,128,191],"with":[60,69,88],"SITA-Standard":[61],"mode":[62],"10-2":[63],"resolution":[64],"using":[65],"measured":[68],"optical":[70],"coherence":[71],"tomography":[72],"(OCT).":[73],"The":[74],"first":[75,182],"method":[76],"called":[77],"Affine-Structured":[78],"Non-negative":[79],"Matrix":[80],"Factorization":[81],"(ASNMF)":[82],"able":[85],"cope":[87],"both":[89],"estimation":[91,115,188],"discovery":[96],"deep":[98],"glaucoma":[99],"knowledge.":[100],"While,":[101],"second":[103],"based":[105,192],"on":[106,193],"Convolutional":[107],"Neural":[108],"Networks":[109],"(CNNs)":[110],"demonstrates":[112],"high":[114],"performance.":[116],"These":[117],"are":[119,169],"kinds":[120],"multi-view":[122],"learning":[123],"because":[125],"they":[126],"utilize":[127],"retinal":[130],"thickness":[131],"simultaneously.":[133],"We":[134,145],"experimentally":[135],"tested":[136],"performance":[138],"our":[140,177],"from":[142],"several":[143],"perspectives.":[144],"found":[146],"ASNMF":[148],"worked":[149],"better":[150],"for":[151,159],"relatively":[152,160],"small":[153],"size":[155],"while":[156],"CNNs":[157],"did":[158],"large":[161],"size.":[163],"addition,":[165],"some":[166],"clinical":[167],"knowledge":[168],"discovered":[170],"via":[171],"ASNMF.":[172],"To":[173],"best":[175],"knowledge,":[178],"paper":[183],"address":[185],"dense":[187],"data.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
