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Martin Röhlig
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2020 – today
- 2023
- [i2]Martin Röhlig, Lars Nonnemann, Hans-Jörg Schulz, Oliver Stachs, Heidrun Schumann:
Towards a Unified User Interface for Visual Analysis of Retinal Data in Ophthalmology. CoRR abs/2301.01840 (2023) - 2022
- [j6]Lars Nonnemann, Marius Hogräfer, Martin Röhlig, Heidrun Schumann, Bodo Urban, Hans-Jörg Schulz:
A Data-Driven Platform for the Coordination of Independent Visual Analytics Tools. Comput. Graph. 106: 152-160 (2022) - [i1]Martin Röhlig, Oliver Stachs, Heidrun Schumann:
Visual Analytics for Early Detection of Retinal Diseases. CoRR abs/2212.10566 (2022) - 2020
- [b1]Martin Röhlig:
Visual analytics methods for retinal layers in optical coherence tomography data. Rostock University, Germany, 2020
2010 – 2019
- 2019
- [j5]Martin Röhlig, Ruby Kala Prakasam, Jörg Stüwe, Christoph Schmidt, Oliver Stachs, Heidrun Schumann:
Enhanced Grid-Based Visual Analysis of Retinal Layer Thickness with Optical Coherence Tomography. Inf. 10(9): 266 (2019) - [c15]Hans-Jörg Schulz, Martin Röhlig, Lars Nonnemann, Mario Aehnelt, Holger Diener, Bodo Urban, Heidrun Schumann:
Lightweight Coordination of Multiple Independent Visual Analytics Tools. VISIGRAPP (3: IVAPP) 2019: 106-117 - [c14]Martin Röhlig, Jörg Stüwe, Christoph Schmidt, Ruby Kala Prakasam, Oliver Stachs, Heidrun Schumann:
Grid-based Exploration of OCT Thickness Data of Intraretinal Layers. VISIGRAPP (3: IVAPP) 2019: 129-140 - [c13]Hans-Jörg Schulz, Martin Röhlig, Lars Nonnemann, Marius Hogräfer, Mario Aehnelt, Bodo Urban, Heidrun Schumann:
A Layered Approach to Lightweight Toolchaining in Visual Analytics. VISIGRAPP (Revised Selected Papers) 2019: 313-337 - [c12]Christoph Schmidt, Martin Röhlig, Bastian Grundel, Philipp Daumke, Marc Ritter, Andreas Stahl, Paul Rosenthal, Heidrun Schumann:
Combining Visual Cleansing and Exploration for Clinical Data. VAHC 2019: 25-32 - [c11]Martin Röhlig, Christoph Schmidt, Ruby Kala Prakasam, Oliver Stachs, Heidrun Schumann:
Towards Accurate Visualization and Measurement of Localized Changes in Intraretinal Layer Thickness. VAHC 2019: 58-59 - 2018
- [j4]Martin Röhlig, Christoph Schmidt, Ruby Kala Prakasam, Paul Rosenthal, Heidrun Schumann, Oliver Stachs:
Visual analysis of retinal changes with optical coherence tomography. Vis. Comput. 34(9): 1209-1224 (2018) - 2017
- [j3]Steve Dübel, Martin Röhlig, Christian Tominski, Heidrun Schumann:
Visualizing 3D Terrain, Geo-Spatial Data, and Uncertainty. Informatics 4(1): 6 (2017) - [j2]Martin Röhlig, Martin Luboschik, Heidrun Schumann:
Visibility widgets for unveiling occluded data in 3D terrain visualization. J. Vis. Lang. Comput. 42: 86-98 (2017) - [c10]Martin Röhlig, Paul Rosenthal, Christoph Schmidt, Heidrun Schumann, Oliver Stachs:
Visual Analysis of Optical Coherence Tomography Data in Ophthalmology. EuroVA@EuroVis 2017: 37-41 - [c9]Martin Röhlig, Martin Luboschik, Ruby Kala Prakasam, Oliver Stachs, Heidrun Schumann:
Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology. EuroVis (Posters) 2017: 89-91 - 2016
- [c8]Martin Röhlig, Heidrun Schumann:
Visibility Widgets: Managing Occlusion of Quantitative Data in 3D Terrain Visualization. VINCI 2016: 51-58 - [c7]Martin Röhlig, Oliver Stachs, Heidrun Schumann:
Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice? EuroRV³@EuroVis 2016: 19-21 - [c6]Jürgen Bernard, Eduard Dobermann, Markus Bögl, Martin Röhlig, Anna Vögele, Jörn Kohlhammer:
Visual-Interactive Segmentation of Multivariate Time Series. EuroVA@EuroVis 2016: 31-35 - 2015
- [j1]Martin Luboschik, Martin Rohlig, Arne T. Bittig, Natalia V. Andrienko, Heidrun Schumann, Christian Tominski:
Feature-Driven Visual Analytics of Chaotic Parameter-Dependent Movement. Comput. Graph. Forum 34(3): 421-430 (2015) - [c5]Martin Rohlig, Martin Luboschik, Frank Krüger, Thomas Kirste, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch:
Supporting activity recognition by visual analytics. VAST 2015: 41-48 - [c4]Christian Richter, Martin Luboschik, Martin Rohlig, Heidrun Schumann:
Sequencing of categorical time series. VAST 2015: 213-214 - 2014
- [c3]Martin Rohlig, Martin Luboschik, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch:
Analyzing parameter influence on time-series segmentation and labeling. IEEE VAST 2014: 269-270 - [c2]Martin Luboschik, Martin Röhlig, Günther Kundt, Oliver Stachs, Sabine Peschel, Andrey Zhivov, Rudolf F. Guthoff, Karsten Winter, Heidrun Schumann:
Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics. EuroVA@EuroVis 2014 - [c1]Steve Dübel, Martin Rohlig, Heidrun Schumann, Matthias Trapp:
2D and 3D presentation of spatial data: A systematic review. 3DVis@IEEE VIS 2014: 11-18
Coauthor Index
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