{"id":"https://openalex.org/W4285340632","doi":"https://doi.org/10.1109/iccicc53683.2021.9811312","title":"Interactive Visualization of Deep Learning for 3D Brain Data Analysis","display_name":"Interactive Visualization of Deep Learning for 3D Brain Data Analysis","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4285340632","doi":"https://doi.org/10.1109/iccicc53683.2021.9811312"},"language":"en","primary_location":{"id":"doi:10.1109/iccicc53683.2021.9811312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc53683.2021.9811312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholarworks.indianapolis.iu.edu/bitstreams/fafbcc4b-86f2-40f1-8ccc-9fc9ec8a4f2a/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100744863","display_name":"Li Huang","orcid":"https://orcid.org/0000-0003-3910-3982"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huang Li","raw_affiliation_strings":["Indiana University Purdue University Indianapolis,Purdue School of Science,Department of Computer & Information Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University Indianapolis,Purdue School of Science,Department of Computer & Information Science","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004575115","display_name":"Shiaofen Fang","orcid":"https://orcid.org/0000-0001-8277-5202"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiaofen Fang","raw_affiliation_strings":["Indiana University Purdue University Indianapolis,Purdue School of Science,Department of Computer & Information Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University Purdue University Indianapolis,Purdue School of Science,Department of Computer & Information Science","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078140696","display_name":"Joaqu\u00edn Go\u00f1i","orcid":"https://orcid.org/0000-0003-3705-1955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joaquin Goni","raw_affiliation_strings":["Purdue University,School of Industrial Engineering & Weldon School of Biomedical Engineering","School of Industrial Engineering &amp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University,School of Industrial Engineering & Weldon School of Biomedical Engineering","institution_ids":[]},{"raw_affiliation_string":"School of Industrial Engineering &amp","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026257338","display_name":"Andrew J. Saykin","orcid":"https://orcid.org/0000-0002-1376-8532"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew J. Saykin","raw_affiliation_strings":["Indiana University,Center for Neuroimaging School of Medicine","Center for Neuroimaging School of Medicine, Indiana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University,Center for Neuroimaging School of Medicine","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"Center for Neuroimaging School of Medicine, Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333320","display_name":"Li Shen","orcid":"https://orcid.org/0000-0002-5443-0503"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["University of Pennsylvania,Perelman School of Medicine,Department of Biostatistics, Epidemiology and Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania,Perelman School of Medicine,Department of Biostatistics, Epidemiology and Informatics","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2759","issue":null,"first_page":"85","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9883999824523926,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.979200005531311,"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/computer-science","display_name":"Computer science","score":0.7550885677337646},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7180724143981934},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.6291791200637817},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.5200326442718506},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5140944123268127},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.4861754775047302},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4453674554824829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44483089447021484},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3571752905845642},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3354932963848114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7550885677337646},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7180724143981934},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.6291791200637817},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.5200326442718506},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5140944123268127},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4861754775047302},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4453674554824829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44483089447021484},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3571752905845642},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3354932963848114}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccicc53683.2021.9811312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc53683.2021.9811312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.iupui.edu:1805/32623","is_oa":true,"landing_page_url":"https://hdl.handle.net/1805/32623","pdf_url":"https://scholarworks.indianapolis.iu.edu/bitstreams/fafbcc4b-86f2-40f1-8ccc-9fc9ec8a4f2a/download","source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Conference proceedings"}],"best_oa_location":{"id":"pmh:oai:scholarworks.iupui.edu:1805/32623","is_oa":true,"landing_page_url":"https://hdl.handle.net/1805/32623","pdf_url":"https://scholarworks.indianapolis.iu.edu/bitstreams/fafbcc4b-86f2-40f1-8ccc-9fc9ec8a4f2a/download","source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Conference proceedings"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285340632.pdf","grobid_xml":"https://content.openalex.org/works/W4285340632.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W107389347","https://openalex.org/W1501005121","https://openalex.org/W1594453896","https://openalex.org/W1825675169","https://openalex.org/W1901365844","https://openalex.org/W1981119726","https://openalex.org/W2012457675","https://openalex.org/W2069494733","https://openalex.org/W2085561705","https://openalex.org/W2087382273","https://openalex.org/W2295107390","https://openalex.org/W2295883547","https://openalex.org/W2323580262","https://openalex.org/W2343061342","https://openalex.org/W2394669110","https://openalex.org/W2461606751","https://openalex.org/W2512274390","https://openalex.org/W2512304460","https://openalex.org/W2542889218","https://openalex.org/W2587299461","https://openalex.org/W2590082389","https://openalex.org/W2591667105","https://openalex.org/W2791826055","https://openalex.org/W2886614482","https://openalex.org/W2888723145","https://openalex.org/W2896774728","https://openalex.org/W2913994026","https://openalex.org/W2950708852","https://openalex.org/W2962858109","https://openalex.org/W2977883299","https://openalex.org/W3138819813","https://openalex.org/W4242127061","https://openalex.org/W6604306396","https://openalex.org/W6635668259","https://openalex.org/W6638389677","https://openalex.org/W6672053727","https://openalex.org/W6694177581","https://openalex.org/W6700678830","https://openalex.org/W6718882145","https://openalex.org/W6733905848","https://openalex.org/W6734347883","https://openalex.org/W6823799657","https://openalex.org/W7058371137"],"related_works":["https://openalex.org/W2564956852","https://openalex.org/W4293108519","https://openalex.org/W2148525144","https://openalex.org/W2362367986","https://openalex.org/W1574055964","https://openalex.org/W3041760129","https://openalex.org/W2105200106","https://openalex.org/W2923661510","https://openalex.org/W4246764483","https://openalex.org/W2013467770"],"abstract_inverted_index":{"With":[0],"multiple":[1],"hidden":[2,116],"layers":[3],"and":[4,9,18,40,146,158],"massive":[5],"combinations":[6],"of":[7,39,47,66,72,82,91,130,160],"features":[8,107],"weights,":[10],"deep":[11,44,84,132],"learning":[12,45,133,150],"models":[13],"are":[14,109],"hard":[15],"to":[16,22,34,59,87,94,103,143],"understand,":[17],"even":[19],"more":[20],"difficult":[21],"interact":[23,144],"with.":[24],"In":[25],"this":[26],"paper":[27],"we":[28],"describe":[29],"a":[30,61,83,138],"visual":[31],"analytics":[32],"platform":[33,139],"help":[35,127],"with":[36,42,145],"the":[37,43,64,78,92,95,105,115,128,131,149,156,161],"understanding":[38,129],"interaction":[41],"process":[46,81],"human":[48],"brain":[49,53,73],"image":[50,106],"data.":[51],"A":[52,98],"connectome":[54],"network":[55,86],"dataset":[56],"is":[57,75,101],"used":[58],"train":[60],"classifier":[62],"for":[63,140],"diagnosis":[65],"Alzheimer's":[67],"Disease":[68],"(AD).":[69],"3D":[70],"rendering":[71],"images":[74],"integrated":[76],"into":[77],"interactive":[79,122],"visualization":[80,123],"neural":[85],"bring":[88],"contextual":[89],"information":[90],"application":[93],"analysis":[96],"framework.":[97],"backpropagation":[99],"algorithm":[100],"applied":[102],"track":[104],"that":[108,121],"captured":[110],"by":[111],"each":[112],"node":[113],"in":[114,148],"layers.":[117],"Our":[118],"results":[119],"demonstrate":[120],"can":[124,153],"not":[125],"only":[126],"process,":[134,151],"but":[135],"also":[136],"provide":[137],"domain":[141],"experts":[142],"assist":[147],"which":[152],"potentially":[154],"enhance":[155],"interpretability":[157],"accuracy":[159],"analysis.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}