Martin Röhlig

Research Interests

Visualization and Visual Analytics
- Visual and interaction metaphors for visualization
- Visualization of spatio-temporal and multi-variate data
- User-centered and task-driven visualization
Technology, Data and Analytics
- GPU-accelerated rendering and web technologies for visualization
- Analytic methods for interactive exploration of data
- Efficient algorithms, data structures and parallel computing

Publications

2023

Röhlig, M.; Nonnemann, L.; Schulz, H.-J.; Stachs, O. & Schumann, H.: Towards a Unified User Interface for Visual Analysis of Retinal Data in Ophthalmology. CoRR, arXiv:2301.01840 [cs.HC], 2023.

2022

Röhlig, M.; Stachs, O. & Schumann, H.: Visual Analytics for Early Detection of Retinal Diseases. CoRR, arXiv:2212.10566 [cs.HC], 2022.
Stache N.; Bohn S.; Sterenczak K. A.; George C.; Do H.-V.; Röhlig M.; Stachs A. & Stachs O.: Changes in retinal layer thickness associated with taxane-induced polyneuropathy during breast cancer therapy. Die Ophthalmologie, Proceedings of the DOG congress, Vol. 119, No. Supplement 3, Springer Medicine, 2022.
Nonnemann L.; Hogräfer M.; Röhlig M.; Schumann H.; Urban B. & Schulz H.-J.: A Data-Driven Platform for the Coordination of Independent Visual Analytics Tools. Computers and Graphics, Vol. 106, Elsevier, 2022.

2021

Röhlig, M.: Visual analytics methods for retinal layers in optical coherence tomography data . PhD thesis, University of Rostock, 2021.

2020

Prakasam, R. K.; Matuszewska-Iwanicka, A.; Fischer, D.-C.; Schumann, H.; Tschöpe, D.; Stratmann, B.; Hettlich, H.-J.; Guthoff, R. F.; Stachs, O. & Röhlig, M.: Thickness of intraretinal layers in patients with type 2 diabetes mellitus depending on a concomitant diabetic neuropathy: results of a cross-sectional study using deviation maps for OCT data analysis. Biomedicines, Vol. 8, No. 7, 2020
Schulz, H.-J.; Röhlig, M.; Nonnemann, L.; Hogräfer, M.; Aehnelt, M.; Urban, B. & Schumann, H.: A Layered Approach to Lightweight Toolchaining in Visual Analytics. Computer Vision, Imaging and Computer Graphics Theory and Applications, Springer, 2020

2019

Röhlig, M.; Schmidt, C.; Prakasam, R. K.; Stachs, O. & Schumann, H.: Enhanced Grid-Based Visual Analysis of Retinal Layer Thickness with Optical Coherence Tomography. Information, Vol. 10, No. 9, 2019
Schmidt, C.; Röhlig, M.; Grundel, B.; Daumke, P.; Ritter, M.; Stahl, A.; Rosenthal, P. & Schumann, H.: Combining Visual Cleansing and Exploration for Clinical Data. Proceedings of the Workshop on Visual Analytics in Healthcare (VAHC), Vancouver, CA, 2019.
Röhlig, M.; Schmidt, C.; Prakasam, R. K.; Stachs, O. & Schumann, H.: Towards Accurate Visualization and Measurement of Localized Changes in Intraretinal Layer Thickness. Poster at the Workshop on Visual Analytics in Healthcare (VAHC), Vancouver, CA, 2019.
Stachs, O.; Prakasam, R. K.; Fischer, D.-C.; Schumann, H.; Matuszewska, A.; Tschöpe, D.; Stratmann, B.; Hettlich, H. J. & Röhlig, M.: Visual Visual analysis of retinal OCT data in patients with type 2 diabetes mellitus. Ophthalmologe, Proceedings of the DOG congress, Vol. 116, No. Supplement 2, Springer Medicine, 2019.
Prakasam, R. K.; Röhlig, M.; Fischer, D.-C.; Götze, A.; Jünemann, A.; Schumann, H. & Stachs, O.: Deviation maps for understanding thickness changes of inner retinal layers in children with type 1 diabetes mellitus. Current Eye Research, Taylor & Francis, Vol. 44, No. 7, 2019.
Stachs, O.; Prakasam, R. K.; Fischer, D.-C.; Schumann, H.; Matuszewska, A.; Tschöpe, D.; Hettlich, H. J. & Röhlig, M.: Visual Analytics of OCT data: Utility of deviation maps in describing retinal layer thickness changes. Proceedings of the ARVO annual meeting, Investigative Ophthalmology & Visual Science, ARVO, Vancouver, CA, 2019 (to appear).
Röhlig, M.; Stüwe, J.; Schmidt, C.; Prakasam, R. K.; Stachs, O. & Schumann, H.: Grid-Based Exploration of OCT Thickness Data of Intraretinal Layers. Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), International Conference on Information Visualization Theory and Applications (IVAPP), Vol. 3, Prague, CZ, 2019 (Received Best-Student-Paper Award).
Schulz, H.-J.; Röhlig, M.; Nonnemann, L.; Aehnelt, M.; Diener, H.; Urban, B. & Schumann, H.: Lightweight Coordination of Multiple Independent Visual Analytics Tools. Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), International Conference on Information Visualization Theory and Applications (IVAPP), Vol. 3, Prague, CZ, 2019.

2018

Stüwe, J.; Röhlig, M.; Schumann, H.; Prakasam, R. K. & Stachs, O.: Visual Analysis of Abnormal Thickness of Intraretinal Layers. Poster at the IEEE Conference on Visual Analytics Science and Technology (VAST), Berlin, DE, 2018.
Prakasam, R. K.; Götze, A.; von Keyserlingk, S.; Jünemann, A.; Röhlig, M.; Stachs, O. & Fischer, D.-C.: Spectral-Domain Optical Coherence Tomography for Determination of Retinal Thickness in Pediatric Patients with Mild-To-Moderate Chronic Kidney Disease: A Cross-Sectional Study. Current Eye Research, epub ahead of print, Taylor & Francis, Vol. 44, No. 2, 2018.
Prakasam, R. K.; Röhlig, M.; Fischer, D.-C.; Jünemann, A.; Schumann, H. & Stachs, O.: Visual Analysis: A new method to analyze OCT thickness data of retinal layers. Proceedings of the ARVO annual meeting, Investigative Ophthalmology & Visual Science, Vol. 59, No. 9, ARVO, Honolulu, HI, 2018.
Röhlig, M.; Schmidt, C.; Prakasam, R. K.; Rosenthal, P.; Schumann, H. & Stachs, O.: Visual Analysis of Retinal Changes with Optical Coherence Tomography. The Visual Computer, Vol. 34, No. 9, Springer, 2018.
Fischer, D.-C.; Götze, A.; Peschel, S.; Redepenning, N.; Röhlig, M. & Stachs, O.: Die optische Kohärenztomografie zur Früherkennung der retinalen Neurodegeneration: eine Querschnittsstudie an pädiatrischen Patienten mit eingeschränkter Nierenfunktion oder einem Typ 1 Diabetes mellitus. Proceedings of the annual meeting of the Society of Pediatric Nephrology (GPN), Nieren- und Hochdruckkrankheiten, Vol. 47, No. 2, Dustri-Verlag, Hannover, DE, 2018.
Götze, A.; von Keyserlingk, S.; Peschel, S.; Jacoby, U.; Schreiver, C.; Köhler, B.; Allgeier, S.; Winter, K.; Röhlig, M.; Jünemann, A.; Guthoff, R.; Stachs, O. & Fischer, D.-C.: The corneal subbasal nerve plexus and thickness of the retinal layers in pediatric type 1 diabetes and matched controls. Scientific Reports, Vol. 8, No. 1, Nature, 2018.

2017

Röhlig, M.; Jünemann, A.; Fischer, D.-C.; Prakasam, R. K.; Stachs, O. & Schumann, H.: Visual Analysis of Retinal OCT Data. Klinische Monatsblätter für Augenheilkunde, Vol. 234, No. 12, Thieme, 2017.
Stachs, O.; Jünemann, A.; Schumann, H. & Röhlig, M.: Visual Analytics in der Augenheilkunde. Spitzenforschung in der Ophthalmologie, Vol. 2, No. 1, Alpha, 2017.
Prakasam, R. K.; Stachs O.; Schmidt, C.; Tafel, M.; Fischer, D.-C.; Guthoff, R.; Jünemann, A.; Schumann, H. & Röhlig, M.: Visual Analysis of Optical Coherence Tomography Data. Ophthalmologe, Proceedings of the DOG congress, Vol. 114, No. Supplement 2, Springer Medicine, 2017.
Röhlig, M.; Luboschik, M. & Schumann, H.: Visibility Widgets for Unveiling Occluded Data in 3D Terrain Visualization. Journal of Visual Languages & Computing, Vol. 42, No. Supplement C, 2017
Röhlig, M.; Luboschik, M.; Prakasam, R. K.; Stachs, O. & Schumann, H.: Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology. Poster at the Eurographics Conference on Visualization (EuroVis 2017), Barcelona, ES, 2017.
Röhlig, M.; Rosenthal, P.; Schmidt, C.; Schumann, H. & Stachs, O.: Visual Analysis of Optical Coherence Tomography Data in Ophthalmology. Proceedings EuroVis Workshop on Visual Analytics (EuroVA), Eurographics Association, Barcelona, ES, 2017 (Received Best-Paper Award).
Dübel, S.; Röhlig, M.; Tominksi, C. & Schumann, H.: Visualizing 3D Terrain, Geo-spatial Data, and Uncertainty. Informatics, Vol. 4, No. 1, 2017

2016

Röhlig, M. & Schumann, H.: Visibility Widgets: Managing Occlusion of Quantitative Data in 3D Terrain Visualization. Proceedings of the 9th International Symposium on Visual Information Communication and Interaction (VINCI '16), ACM, Dallas, TX, USA, 2016 (Received Best-Paper Award).
Bernard, J.; Dobermann, E.; Bögl, M.; Röhlig, M.; Vögele, A. & Kohlhammer, J.: Visual-Interactive Segmentation of Multivariate Time Series. Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA), Eurographics Association, Groningen, NL, 2016.
Röhlig, M.; Stachs, O. & Schumann, H.: Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice?. Proceedings of the EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3), Eurographics Association, Groningen, NL, 2016.

2015

Röhlig, M.; Luboschik, M.; Bögl, M.; Krüger, F.; Alsallakh, B.; Kirste, T.; Miksch, S. & Schumann, H.: Supporting Activity Recognition by Visual Analytics. Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST), Chicago, USA, 2015.
Richter, C.; Luboschik, M.; Röhlig, M. & Schumann, H.: Sequencing of Categorical Time Series. Poster at the IEEE Conference on Visual Analytics Science and Technology (VAST), Chicago, USA, 2015.
Röhlig, M.; Luboschik, M.; Tavakoli, M. & Schumann, H.: Assessing Corneal Nerve Morphology with Visual Analytics. Poster at the 25th NEURODIAB Conference, Elsinore, Denmark, 2015.
Luboschik, M.; Röhlig, M.; Bittig, A. T.; Andrienko, N.; Schumann, H. & Tominski, C.: Feature-Driven Visual Analytics of Chaotic Parameter-Dependent Movement. Computer Graphics Forum, Vol. 34, No. 3, 2015 (Received Best-Paper Award)
Gschwandtner, T.; Schumann, H.; Bernard, J.; May, T.; Bögl, M.; Miksch, S.; Kohlhammer, J.; Röhlig, M. & Alsallakh, B.: Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model. Poster at the Eurographics Conference on Visualization (EuroVis 2015), Cagliari, Italy, 2015.

2014

Röhlig, M.; Luboschik, M.; Schumann, H.; Bögl, M.; Alsallakh, B. & Miksch, S.: Analyzing Parameter Influence on Time-Series Segmentation and Labeling. Poster at the IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 2014.
Dübel, S.; Röhlig, M.; Schumann, H. & Trapp, M.: 2D and 3D Presentation of Spatial Data: A Systematic Review. Proceedings of the IEEE VIS International Workshop on 3DVis: Does 3D really make sense for Data Visualization? (3DVis@IEEEVIS2014), Paris, France, 2014.
Röhlig, M.; Luboschik, M.; Kundt, G.; Stachs, O.; Peschel, S.; Zhivov, A.; Guthoff, R. F.; Winter, K. & Schumann, H.: Visuelle Analyse zur Früherkennung einer Diabetischen Neuropathie. Klinische Monatsblätter für Augenheilkunde, Vol. 231, No. 12, Thieme, 2014.
Luboschik, M.; Röhlig, M.; Kundt, G.; Stachs, O.; Peschel, S.; Zhivov, A.; Guthoff, R. F.; Winter, K. & Schumann, H.: Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics. Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA), Eurographics Association, Swansea, UK, 2014.

2012

Schulze, E. E.; Wolter, L.; Hayka, H. & Röhlig, M.: Intuitive Interaktion mit Strukturdaten aus einem PLM-System. Proceedings of the Conference on Entwerfen Entwickeln Erleben: Methoden und Werkzeuge in der Produktentwicklung (EEE2012), 10. Gemeinsames Kolloquium Konstruktionstechnik (KT 2012), TUDpress, Dresden, Germany, 2012.