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To this end, we propose a visual analysis tool connecting multiple radiologists' delineation processes with their outcomes, and we demonstrate its potential in a case study.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 1693, "drupal_id": 3278, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/Hannah-ClaraBayat", "firstname": "Hannah Clara", "lastname": "Bayat", "searchname": "Hannah Clara Bayat", "is_teacher": false, "name": "Hannah Clara Bayat", "publications": [ "Bayat_2019", "bayat-2022-mva", "bayat-2024-awt" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1693", "__class": "Author" }, { "id": 1110, "drupal_id": 625, "orcid_id": "0000-0003-1387-5132", "website": "https://www.cg.tuwien.ac.at/staff/ManuelaWaldner", "firstname": "Manuela", "lastname": 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"https://www.cg.tuwien.ac.at/research/publications/2024/bayat-2024-awt/", "__class": "Publication" }, { "id": "bayat-2022-mva", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/139147", "title": "Multi-faceted Visual Analysis of Inter-Observer Variability", "date": "2022", "abstract": "Despite the advancements in auto-segmentation tools, manual delineation is still necessary in the medical field. For example, tumor segmentation is a crucial step in cancer radiotherapy and is still widely performed by hand by experienced radiologists. However, the opinions of experienced radiologists might differ, for a multitude of reasons. In this work, we visualize the variability originating from multiple experts delineating medical scans of the same patient, known as inter-observer variability.The novelty of this work consists of capturing the process of segmenting a target object. The focus lies in gaining insight into the observer’s thought processes and reasoning strategies. To investigate these aspects of segmenting we conduct a data acquisitionwith novice users and experts, capturing their thoughts in a think-aloud protocol and their areas of attention by tracking their mouse-movement during the segmentation process. This data is visualized with our Multi Observer Looking Environment (MOLE).MOLE allows to gain deep insight into the observers’ segmentation process and enables to compare different segmentation outcomes and how these occurred. With our proposed visualization techniques we emphasize regions of uncertainty that need more attention when delineating. Additionally, relevant keywords are extracted from the think-aloud protocol and aligned with the positions in the segmentation, providing information about the thought process of an observer. We link the initial image to a three-dimensional representation of the delineations and provide more details of the think-aloud protocol on demand.Our approach is universal to segmentation, attention and thought process data regardless of the domain of the data. We show how MOLE can be used with a medical dataset as well as an artificially created dataset. By validating our approach with the help of a medical expert actively working in the field, we define potential use cases in the existing pipeline of tumor delineation for cancer treatment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 783, "image_height": 536, "name": "bayat-2022-mva-teaser.jpg", "type": "image/jpeg", "size": 91325, "path": "Publication:bayat-2022-mva", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 1693, "drupal_id": 3278, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/Hannah-ClaraBayat", 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", "abstract": "

Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.

\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/InfoVis", "teaser": { "name": "teaser.png", "path": "research_area:InfoVis", "type": "image/png", "size": 60875, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/InfoVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "8564188", "arbesser_ba_2023", "Arleo-2019-vis", "Batik-2021", "batik-2021-gd", "bayat-2022-mva", "beham-2014-cupid", "bhore-2021-issac", "birsak-2014-agtb", "birsak-2017-dpe", "borgo-2013-gly", "borondy2022", "Braunsperger-2025_bsc", "Bruckner_Stefan_2015_VAS", "bugnar-esk-2021", "byska-2019-mdfc", "Cai_2018", "casellato-2016-pkg", "Chen-Information-2016", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "daae-lampe-2010-dif", "Deutsch-2018", "Diehl_2015", "Diehl_2021", "dworschak-2016-szcm", "Eckelt_2018_01", "edlinger-2018-vwr", "ehlers-2024-vgs", "eichner-2024-erv", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "eschner-2023-evl", "eschner-2025-ide", "Escribano_2017", "fourousan2021", "furmanova_2020", "Gadllah_Hani_2016", "Gall2020", "Ganuza_ML_2015_ISA", "georgiev-2019-cbg", "geyer_lukas_2015_prj", "geymayer-2017-std", "Groeller_2011_CW", "Groeller_2011_NR", "Groeller_2014_RWA", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2021-10", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V5_2020", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "gundacker-2020-wlm", "gusenbauer-2018", "gusenbauer-2018-P", "Heim_2021", "heim-2024-accustripes", "heim-gall-2020-dde", "Heinzl2021", "holzer-edo", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "karnik-09-shapegrammar", "Kehrer-2010-mom", "kehrer-2012-mod", "kehrer-2013-SBC", "Kehrer-2013-STAR", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "Klein_Tobias_2015TIV", "klein-2016-WCL", "knoetzl_alexander-2025-prj", "koeppel-2021", "Kolter_2021", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch-2021-lov", "Kuroko-2020-iV", "Laschober-2018", "li-2019-gdc", "lippeck-2022-mna", "louis-alexandre_dit_petit-frere-2022-veo", "magg2022", "mahler-2021-mdar", "martorell2022", "maruyama-2019-iv", "Matkovic_Kresimir_2015_", "Matkovic-2014-ieee", "matt-2024-cvil", "matt-2025-scv", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "medeiros-2023-gwf", "meka-2024-lpi", "melcher-2024-asi", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao2018Dimsum", "mizuno-2019-eurovis", "Muehlbacher_diss_2018", "musleh_maath_2021_mam", "musleh_maath-2021-mam1", "musleh_maath-2021-mam2", "Musleh_PhD", "musleh-2022-mam5", "musleh-2025-trustme", "Neubauer2020", "Nowak_2021", "ortner-2016-tunnel", "ortner-2016-visaware", "pahr-2024-ieo", "PH-2011-LDS", "Pilizar_-2020-bachelor", "pirch_2021_VRN", "pointner_simon-2020", "polatsek-2018-stv", "Presch_2020", "Priselac2021", "Purchase-2020-gd", "Purgathofer-2017-China1", "Purgathofer-2017-China2", "Purgathofer-2017-VC-Interface", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2019_prsps", "Ribicic_2012_VAS", "Rippberger_2019", "sakr_sherif-2020-cacm", "samoul-2019-cnp", "sbardellati-2021-eveos", "schmidt-phd", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sikachev_peter-2011-protovis", "smiech-2018-tei", "sMolBoxes_2022", "Sorger_2013_nMI", "sorger-2013-neuromap", "sorger-2015-litevis", "sorger-2015-taxintec", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "spegel-gruenberger-2020", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" }, { "id": "MedVis", "drupal_id": 4133, "name": "Medical Visualization", "short_abstract": "This research area bridges the gap between visualization and medicine by providing comprehensible visual means to detect diseased regions or to aid clinical treatment decisions.", "abstract": "In collaboration with hospitals we try to investigate various topics in medicine by means of visualization or visual analytics. Due to the increasing amount of data generated by hospital information systems, visualization becomes successively more important. Extracting certain trends from such highly diverse data by suitable visual mappings is one of the primary goals of medical visualization. The data is usually acquired by computed tomography, magnetic resonance imaging or ultrasound.\n\nCurrently, our research addresses the analysis of blood vessels such as the inspection of possible stenotic regions or their spatial arrangement as in the Circle of Willis. Furthermore, we investigate aneurysm classification and lesion detection as well as visualization. Another research area deals with realistic prenatal visualization of the fetus in-vivo and in real-time. Due to the high variability of medical imaging data, we further focus on high-level correction of segmentation defects.", "website": "https://www.cg.tuwien.ac.at/research/area/MedVis", "teaser": { "name": "teaser.png", "path": "research_area:MedVis", "type": "image/png", "size": 225330, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/MedVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "amabili2021", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "antes-2023-vhv", "arbesser_ba_2023", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Bauer_David_2018", "bayat-2022-mva", "Bernold_2019", "bernold-2019-epr", "Birkeland-2012-IMC", "borondy2022", "bront-2023-svo", "bruckner-2010-HVC", "burns-2007-fea", "Chen-Information-2016", "djuric-2020-wvo", "Eckelt_2017", "Eichner2022", "EuroVis2018-ShortPapers-Karall", "fmistelbauer-2014-adict", "Ford-2012-HRV", "furmanova_2020", "Gadllah_Hani_2016", "Gall_2017", "gall_alexander_2016BA", "ganglberger2019", "Gietl_2020", "Gillmann2021", "Groeller_2016_P4", "Groeller_V42020", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "gutekunst_2019", "Hainoun2019", "Heim-2017", "Ismail-2018", "jank-2022-cbf", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "Kovacs_PhD", "Machegger2018DTI", "magg-2021-dva", "magg2021", "magg2022", "malan_fluoro", "martorell2022", "Masopust_2018", "Mazza_2020", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao_stateKeylabTalk_2017", "miao_thesis_2019", "miao_tvcg_2017", "mindek-2017-dsn", "Mistelbauer_2021", "Mistelbauer_Gabriel_2016", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "moerth_eric-2016-3DF", "moerth-2018-tpose", "Musleh_PhD", "musleh-2023-ugi", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "PERNDORFER-2015-ECS", "Pezenka-2016-MT", "Philipp_Hochhauser_2023", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_visgap2020", "raidou2018visualflatter", "Reiter2017CVAP", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "ruiz-2008-OVR", "ruiz-2008-SEV", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "Schmidlehner_Sandra_SbC", "Schrempf_2018", "schultes_lampi", "SifuentesGangl2017FIS", "solteszova-2010-MOS", "Solteszova2016", "Spelitz2020", "stritzel2022", "Stritzel2022_thesis", "Tramberger_2018", "Tramberger2017BCS", "unger_2017", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_HQ3", "Viola_Ivan_DAC", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "vitruvian_2019", "vogel2022", "Weissenboeck_2019_PhD" ], "projects": [ "d9951", "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=MedVis", "__class": "ResearchArea" } ], "keywords": [ "medical visualization", "uncertainty", "inter-observer variability", "data acquisition", "segmentation", "manual delineation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bayat-2022-mva-Master thesis.pdf", "type": "application/pdf", "size": 4821903, "path": "Publication:bayat-2022-mva", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 783, "image_height": 536, "name": "bayat-2022-mva-teaser.jpg", "type": "image/jpeg", "size": 91325, "path": "Publication:bayat-2022-mva", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/", "__class": "Publication" }, { "id": "Bayat_2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "The Visualization of the Evolution of Cultural Models", "date": "2019-08-13", "abstract": "Culture is a fascinating phenomenon influencing various aspects of our lives. Cultural models seek to describe the complex structure of ethical and societal values. Two main cultural models have been defined so far: the Hofstede model [Hof11] and the GLOBE project [GLO04]. Both models define similar attributes to describe characteristics of a society, summarized in so-called cultural dimensions.\nTo better understand the complexity of cultural models and the information given\nthere are tools that visualize the complex data provided. Current tools for the visualization of cultural models make use of barcharts, boxplots and scatterplots, while only covering a small part of the data and information given. The existing tools do not cover the information completely and miss vital aspects. We want to fill these gaps and seek to find a way to easily compare selected data with each other. Moreover, we want to design a visualization that can identify cultures and cultural regions. We try to create a tool to visualize cultural models. The tool displays the given data in an easy way, by using new approaches and improving existing ones. First, we analyze the data given, to crystallize the core information and main feature of our visualization.\nNext, the goal is to define the advantages and disadvantages of the current and latest\nvisualization approaches. By combining the strengths and improving the weaknesses of\nthese existing tools we try to specify the difficulties and goals we want to achieve with the new approach. Lastly, we look at ongoing cultural applications by using the developed visualization tool and look for similarities where we do not expect them.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 464, "image_height": 311, "name": "Bayat_2019-image.JPG", "type": "image/jpeg", "size": 21066, "path": "Publication:Bayat_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 1693, "drupal_id": 3278, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/Hannah-ClaraBayat", "firstname": "Hannah Clara", "lastname": "Bayat", "searchname": "Hannah Clara Bayat", "is_teacher": false, "name": "Hannah Clara Bayat", "publications": [ "Bayat_2019", "bayat-2022-mva", "bayat-2024-awt" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1693", "__class": "Author" } ], "date_end": "2019-08-13", "date_start": "2019-04-10", "matrikelnr": "01614855", "supervisor": [ { "id": 1410, "drupal_id": 1143, "orcid_id": "0000-0003-2468-0664", "website": "https://www.cg.tuwien.ac.at/staff/RenataRaidou", "firstname": "Renata", "lastname": "Raidou", "searchname": "Renata Raidou", "is_teacher": true, "name": "Renata Raidou", "publications": [ "amabili-2024-smg", "amabili-2025-lpb", "amabili2021", "amirkhanov-2019-manylands", "bayat-2024-awt", "boeroendy-2022-uio", "borondy2022", "casares-magaz-2025-rog", "chaves-de-plaza-2026-logcc", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-penta", "ehlers-2025-www", "el-sherbiny-2023-vai", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "furmanova_2020", "furmanova-2024-bvp", "Groeller_2016_P4", "grossmann_2019_pelvisrunner_poster", "kovacs-2024-gsg", "kovacs-2024-smt", "kovacs-2026-sbg", "kummer-2025-fvo", "lucio-2024-kma", "lucio-2024-yfy", "magg2021", "magg2022", "malan_fluoro", "manylands_award", "martorell2022", "musleh-2023-ugi", "musleh-2024-conan", "musleh-2025-trustme", "muth-2024-edt", "oda-2025-artevoviewer", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-nodkant", "peischl-2025-ipo", "preim-2023-vva", "Raidou_2018_1", "Raidou_2018_2", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "schindler_2020vis", "Schindler-2022-eurovis", "schindler-2023-sso", "shilo-2024-vnt", "stritzel2022", "tanaka-2024-vor", "vitruvian_2019", "wu-2021", "wu-2021-vi" ], "publications_first": [], "project_leader": [ "d10489", "d9951" ], "publication_field": [ { "publ_id": "amabili-2024-smg", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "antes-2023-vhv", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Bayat_2019", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "bayat-2022-mva", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "bernold-2019-epr", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "boeroendy-2023-eui", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "bramberger-3pv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "bront-2023-svo", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "chung-2022-sma", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "djuric-2020-wvo", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "duong-2023-ieo", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Ehlers_PhD", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "el-sherbiny-2023-vat", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "fourousan2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Groeller_2021_BVM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Ismail-2018", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "jank-2022-cbf", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Karall2017CVAB", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Kovacs_PhD", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Machegger2018DTI", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "magg-2021-dva", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Musleh_PhD", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Oancea2018OAK", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Pahr_PhD", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "pahr-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "raidou_2018_bladderrunner", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "raidou_2019_preha", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "raidou_pingu2020", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "raidou_slicedice", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "raidou_star2019", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "raidou_visgap2020", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "raidou2018visualflatter", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "raidou2019_prsps", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Reiter2017CVAP", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "rippl-2023-atg", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schindler_2020vis", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "schindler2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Schrempf_2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Schrempf_2020", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "shilo-2023-vna", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "SifuentesGangl2017FIS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "stritzel2022", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Stritzel2022_thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "szabo-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Tramberger_2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Tramberger2017BCS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "turner-aso", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "vogel2022", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "walchhofer_ar_flowmaps", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1410", "__class": "Author" } ], "research_areas": [ { "id": "IllVis", "drupal_id": 4131, "name": "Illustrative Visualization", "short_abstract": "In this research area, we develop rendering methods that are inspired by scientific illustrations, in order to make complex biological information more intuitive to understand and more pleasant to read.", "abstract": "Scientific illustration is concerned with researching ways in which complex biological and medical data can be abstracted in order to convey a desired information that would otherwise be impossible or hard to retrieve from the original data. Illustrators apply such techniques, for instance, to present non-important parts of an organ in a simplified way, while using detailed representations to put the focus of attention on a region where a tumor might be situated.\n\nTo identify such meaningful visual abstractions for visualization, their effectiveness for human perception and cognition has to be assessed, and they have to be formalized in order to make them applicable in rendering algorithms. In this project, we try to advance the understanding of procedural visual abstraction of complex physiological processes that describe the complex machinery of biological life.", "website": "https://www.cg.tuwien.ac.at/research/area/IllVis", "teaser": { "name": "teaser.jpg", "path": "research_area:IllVis", "type": "image/jpeg", "size": 34861, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/IllVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "2017-kouril-illcell", "Alharbi_2021", "antes-2026-maa", "Antonini2020", "Balabanian-2010-IIV", "Balduz_01", "Bayat_2019", "Bechtold2020", "Birkeland-2012-IMC", "brandstaetter_01", "bruckner-2005-ICV", "bruckner-2006-ICE", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2010-HVC", "bruckner-2010-IFC", "cellVIEW_2015", "Chen-Information-2016", "Deutsch-2018", "Dhanoa_2021", "Dhanoa2024", "dietrich-2016-viseq2", "donabauer_2019_1", "eg-tut2005-iv", "eschner-2023-ims", "Essler2022", "gangl-2018-gpsart", "Gehrer_Daniel_CUI", "Gehrer-2017-molmach", "gerl-2006-vhi", "Gogel2020", "Groeller_2011_IPV", "Groeller_2016_I3", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_V1_2020", "groeller-2006-ivt", "groeller-2007-fci", "groeller-2008-irs", "Groeller-2010-IFI", "gruber-2025-vps", "Halladjian_2020", "haushofer-2018-skinning", "Heim_2020", "horvath-2018-ism", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Knapp_2017_CVR", "Koeppel2020", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "kroesl_x_card_2017", "Lackner_2022", "Langer_Edith_IR1", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "Leutschacher_2022", "ludwig-2012-MT", "Manczarski-2016", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "Melo_2018_11", "Meusburger_2020", "Miao_2019", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_stateKeylabTalk_2017", "miao2018Dimsum", "Michl_2017_CSV", "mindek-2015-mc", "mindek-2016-utah-talk", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-xmas-card-2016", "Moellinger_Christian_IDE2", "Niedermayer_2018", "Ortner_PhD", "Ortner2020", "pahr-2021-vologram", "Panayotov", "patel_daniel_2007_IRSD", "Pauschenwein_2022", "Peter_2012_AIV", "plank-2017-sldg", "prost-2016-molecule", "purgathofer-2008-cgi", "Radwan-2017-Occ", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "Reichinger_2016", "Reichinger_Fuhrmann_2016", "Reisacher_Matthias_CPW", "Reisacher2016", "Riegelnegg_2019", "rippl-2023-atg", "sbardellati_ba_2018", "Sbardellati-2019-vcbm", "schindler_2020vis", "schmidlehner2021", "scholz_2021", "Schrempf_2020", "schultes_lampi", "seyfert-2017", "sikachev-2010-ill_vis_vol_ren", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "Spechtenhauser_Florian_2016", "stappen_2017_animatedcomic", "Stoll2020", "sturl_2016_dynlabels", "Swoboda2020", "szabo_patrik-2022-tour", "takahashi-2019-acdt", "Thomas-2018", "TR-186-2-07-08", "Troidl_2021", "Troidl_2022", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Unger2020", "Vasileva_2022", "Viola_Ivan_2013_SVA", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "viola-evr", "Viola-Pondering-2017", "Viola-vistutillustrativevis", "Waldin_Nicholas_2016_Colormaps", "waldin-2019-ccm", "Waldner_2017_11", "Wihann_2017", "Woschizka_2021", "wu-2019-bmc", "wu-2019-report", "Zaufel_2021", "zechmeister2020", "Zeng_2021", "Zusag-2017-Bach" ], "projects": [ "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=IllVis", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], 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