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Towards a Unified User Interface for Visual Analysis of Retinal Data in Ophthalmology., , , , and . CoRR, (2023)Towards Accurate Visualization and Measurement of Localized Changes in Intraretinal Layer Thickness., , , , and . VAHC, page 58-59. IEEE, (2019)Visibility Widgets: Managing Occlusion of Quantitative Data in 3D Terrain Visualization., and . VINCI, page 51-58. ACM, (2016)Lightweight Coordination of Multiple Independent Visual Analytics Tools., , , , , , and . VISIGRAPP (3: IVAPP), page 106-117. SciTePress, (2019)Visual analytics methods for retinal layers in optical coherence tomography data. Rostock University, Germany, (2020)base-search.net (ftunivrostock:oai:oai.rosdok.uni-rostock.de:rosdok_disshab_0000002458).Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice?, , and . EuroRV³@EuroVis, page 19-21. Eurographics Association, (2016)Grid-based Exploration of OCT Thickness Data of Intraretinal Layers., , , , , and . VISIGRAPP (3: IVAPP), page 129-140. SciTePress, (2019)Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology., , , , and . EuroVis (Posters), page 89-91. Eurographics Association, (2017)A Layered Approach to Lightweight Toolchaining in Visual Analytics., , , , , , and . VISIGRAPP (Revised Selected Papers), volume 1182 of Communications in Computer and Information Science, page 313-337. Springer, (2019)Analyzing parameter influence on time-series segmentation and labeling., , , , , and . IEEE VAST, page 269-270. IEEE Computer Society, (2014)