{"id":"https://openalex.org/W2963042389","doi":"https://doi.org/10.2312/pgv.20171091","title":"Photo-Guided Exploration of Volume Data Features","display_name":"Photo-Guided Exploration of Volume Data Features","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2963042389","doi":"https://doi.org/10.2312/pgv.20171091","mag":"2963042389"},"language":"en","primary_location":{"id":"doi:10.2312/pgv.20171091","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20171091","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pgv.20171091","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010197084","display_name":"Mohammad Raji","orcid":"https://orcid.org/0000-0001-8891-3071"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raji, Mohammad","raw_affiliation_strings":["University of Tennessee , Knoxville"],"affiliations":[{"raw_affiliation_string":"University of Tennessee , Knoxville","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054878445","display_name":"Alok Hota","orcid":"https://orcid.org/0000-0002-3595-3253"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hota, Alok","raw_affiliation_strings":["University of Tennessee , Knoxville"],"affiliations":[{"raw_affiliation_string":"University of Tennessee , Knoxville","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113487859","display_name":"Robert Sisneros","orcid":null},"institutions":[{"id":"https://openalex.org/I19908199","display_name":"National Center for Supercomputing Applications","ror":"https://ror.org/03g9ch715","country_code":"BG","type":"facility","lineage":["https://openalex.org/I19908199"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Sisneros, Robert","raw_affiliation_strings":["National Center for Supercomputing Applications (NCSA),"],"affiliations":[{"raw_affiliation_string":"National Center for Supercomputing Applications (NCSA),","institution_ids":["https://openalex.org/I19908199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050123014","display_name":"Peter Messmer","orcid":null},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Messmer, Peter","raw_affiliation_strings":["nVidia"],"affiliations":[{"raw_affiliation_string":"nVidia","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101947031","display_name":"Jian Huang","orcid":"https://orcid.org/0000-0002-8223-5705"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huang, Jian","raw_affiliation_strings":["University of Tennessee , Knoxville"],"affiliations":[{"raw_affiliation_string":"University of Tennessee , Knoxville","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010197084"],"corresponding_institution_ids":["https://openalex.org/I75027704"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.8934999704360962,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.8934999704360962,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.8884000182151794,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.8792999982833862,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.7622794508934021},{"id":"https://openalex.org/keywords/tweaking","display_name":"Tweaking","score":0.7123469114303589},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6460843682289124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6396597623825073},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.612998366355896},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5796402096748352},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5029203295707703},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.4688214957714081},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45646893978118896},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4485451579093933},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4452393054962158},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4100847542285919},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3947144150733948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32529592514038086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3247588276863098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622794508934021},{"id":"https://openalex.org/C2780200862","wikidata":"https://www.wikidata.org/wiki/Q4453309","display_name":"Tweaking","level":2,"score":0.7123469114303589},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6460843682289124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6396597623825073},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.612998366355896},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5796402096748352},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5029203295707703},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.4688214957714081},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45646893978118896},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4485451579093933},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4452393054962158},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4100847542285919},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3947144150733948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32529592514038086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3247588276863098},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.2312/pgv.20171091","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20171091","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/pgv.20171091","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20171091","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.47999998927116394,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3047757905","https://openalex.org/W2246959739","https://openalex.org/W2163021939","https://openalex.org/W2027463252","https://openalex.org/W3080422948","https://openalex.org/W2897535293","https://openalex.org/W3209453723","https://openalex.org/W3098082048","https://openalex.org/W2615789768","https://openalex.org/W3210782782","https://openalex.org/W2995746305","https://openalex.org/W2367223800","https://openalex.org/W2052906728","https://openalex.org/W2440722286","https://openalex.org/W2550888312","https://openalex.org/W1993951641","https://openalex.org/W2124571229","https://openalex.org/W1995428089","https://openalex.org/W1556081186","https://openalex.org/W57456335"],"abstract_inverted_index":{"In":[0,62],"this":[1],"work,":[2],"we":[3,89],"pose":[4],"the":[5,34,46,54,82,113,130],"question":[6,47],"of":[7,27,48,69,81,94,117,132,150],"whether,":[8],"by":[9],"considering":[10],"qualitative":[11],"information":[12],"such":[13],"as":[14,19,75],"a":[15,24,59,107,118,136,147],"sample":[16],"target":[17,55,87],"image":[18,26,56],"input,":[20],"one":[21,43,68],"can":[22,90],"produce":[23],"rendered":[25],"scientific":[28],"data":[29],"that":[30,63,111],"is":[31,67],"similar":[32],"to":[33,44,77],"target.":[35],"The":[36],"algorithm":[37],"resulting":[38],"from":[39],"our":[40,65,123,133,151],"research":[41],"allows":[42],"ask":[45],"whether":[49],"features":[50],"like":[51],"those":[52],"in":[53,58],"exists":[57],"given":[60],"dataset.":[61],"way,":[64],"method":[66,98,124,134],"imagery":[70],"query":[71],"or":[72],"reverse":[73],"engineering,":[74],"opposed":[76],"manual":[78],"parameter":[79],"tweaking":[80],"full":[83],"visualization":[84],"pipeline.":[85],"For":[86],"images,":[88],"use":[91],"real-world":[92,121],"photographs":[93],"physical":[95],"phenomena.":[96],"Our":[97],"leverages":[99],"deep":[100],"neural":[101],"networks":[102],"and":[103,120,140],"evolutionary":[104],"optimization.":[105],"Using":[106],"trained":[108],"similarity":[109],"function":[110],"measures":[112],"difference":[114],"between":[115],"renderings":[116],"phenomenon":[119],"photographs,":[122],"optimizes":[125],"rendering":[126],"parameters.":[127],"We":[128,144],"demonstrate":[129],"efficacy":[131],"using":[135],"superstorm":[137],"simulation":[138],"dataset":[139],"images":[141],"found":[142],"online.":[143],"also":[145],"discuss":[146],"parallel":[148],"implementation":[149],"method,":[152],"which":[153],"was":[154],"run":[155],"on":[156],"NCSA's":[157],"Blue":[158],"Waters.":[159]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
