{"id":"https://openalex.org/W3037314233","doi":"https://doi.org/10.2312/evs.20201067","title":"Comprehensive Visualization of Longitudinal Patient Data for the Dermatological Oncological Tumor Board","display_name":"Comprehensive Visualization of Longitudinal Patient Data for the Dermatological Oncological Tumor Board","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037314233","doi":"https://doi.org/10.2312/evs.20201067","mag":"3037314233"},"language":"en","primary_location":{"id":"doi:10.2312/evs.20201067","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20201067","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/evs.20201067","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026715301","display_name":"Nastasja Steinhauer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steinhauer, Nastasja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071125584","display_name":"Marc H\u00f6rbrugger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H\u00f6rbrugger, Marc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043794130","display_name":"Andreas Braun","orcid":"https://orcid.org/0000-0002-6954-0633"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Braun, Andreas Dominik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078324938","display_name":"Thomas T\u00fcting","orcid":"https://orcid.org/0000-0001-7146-0934"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T\u00fcting, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004833443","display_name":"Steffen Oeltze\u2010Jafra","orcid":"https://orcid.org/0000-0002-6962-9080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oeltze-Jafra, Steffen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103048141","display_name":"Juliane M\u00fcller","orcid":"https://orcid.org/0000-0002-8279-0901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M\u00fcller, Juliane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68327568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"169","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.8751999735832214,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.8751999735832214,"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/visualization","display_name":"Visualization","score":0.564359188079834},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5064116716384888},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3553254008293152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34550780057907104},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3282385468482971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2099016308784485}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.564359188079834},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5064116716384888},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3553254008293152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34550780057907104},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3282385468482971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2099016308784485}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/evs.20201067","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20201067","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:3037314233","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/vissym/eurovis2020.html#SteinhauerHBTOM20","pdf_url":null,"source":{"id":"https://openalex.org/S4306510186","display_name":"EuroVis (Short Papers)","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"EuroVis (Short Papers)","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/evs.20201067","is_oa":true,"landing_page_url":"https://doi.org/10.2312/evs.20201067","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3208578531","https://openalex.org/W2889264832","https://openalex.org/W2424866560","https://openalex.org/W2353619803","https://openalex.org/W2037199719","https://openalex.org/W2040833452","https://openalex.org/W2369887444","https://openalex.org/W2127258874","https://openalex.org/W2372666407","https://openalex.org/W1991446151","https://openalex.org/W2084365328","https://openalex.org/W1963501103","https://openalex.org/W1156771211","https://openalex.org/W2735800123","https://openalex.org/W3200316943","https://openalex.org/W203928005","https://openalex.org/W2160627662","https://openalex.org/W1546440362","https://openalex.org/W2016467366","https://openalex.org/W2279931652"],"abstract_inverted_index":{"In":[0],"multidisciplinary":[1],"oncological":[2],"team":[3],"meetings":[4],"for":[5],"patient-specific":[6,83],"treatment":[7,133],"decision-making,":[8],"so-called":[9],"tumor":[10],"boards,":[11],"usually":[12],"one":[13],"physician":[14],"introduces":[15],"a":[16,30,78,154,184],"patient":[17,54,106,138],"case":[18,87],"verbally":[19],"and":[20,45,89,115,135,150,163,169],"proposes":[21],"an":[22,101],"initial":[23],"therapy":[24,113],"recommendation.":[25],"This":[26],"is":[27],"followed":[28],"by":[29,65,98],"short":[31],"collaborative":[32],"discussion":[33],"of":[34,81,103,111,160,172,176,197],"the":[35,51,60,66,104,119,126,131,136,173],"recommendation's":[36],"suitability.":[37],"While":[38],"patient-related":[39],"image":[40],"data,":[41],"such":[42],"as":[43,108,110],"CT":[44],"MR":[46],"scans,":[47],"are":[48],"displayed":[49],"during":[50,86],"discussion,":[52],"clinical":[53,170],"data":[55,196],"must":[56],"be":[57],"memorized":[58],"from":[59],"introduction":[61,88],"or":[62],"repeatedly":[63],"inquired":[64],"participating":[67],"domain":[68,190],"experts.":[69],"To":[70],"support":[71],"physicians":[72],"in":[73,124,145,183],"this":[74],"concern,":[75],"we":[76],"propose":[77],"comprehensive":[79,155],"visualization":[80,141],"longitudinal":[82],"information":[84],"entities":[85],"discussion.":[90],"Our":[91],"visual":[92,178],"approach":[93,179],"advances":[94],"over":[95],"existing":[96],"work":[97],"simultaneously":[99],"providing":[100],"overview":[102],"current":[105],"status":[107],"well":[109],"previous":[112,132],"measures":[114,134],"their":[116],"effects":[117],"on":[118,193],"status.":[120,139],"The":[121,140,167],"latter":[122],"assists":[123],"relating":[125],"currently":[127],"proposed":[128],"recommendation":[129],"to":[130],"related":[137],"has":[142],"been":[143,181],"designed":[144],"close":[146],"collaboration":[147],"with":[148,188],"dermatologists":[149],"oncologists":[151],"aiming":[152],"at":[153],"yet":[156],"easily":[157],"comprehensible":[158],"presentation":[159],"relevant":[161],"patient-data":[162],"minimal":[164],"user":[165,186],"interaction.":[166],"usability":[168],"relevance":[171],"prototypical":[174],"implementation":[175],"our":[177],"have":[180],"evaluated":[182],"qualitative":[185],"study":[187],"five":[189],"experts":[191],"based":[192],"real":[194],"anonymized":[195],"melanoma":[198],"patients.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}