VisCoDeR: A tool for visually comparing dimensionality reduction algorithms. - René Cutura; Stefan Holzer; Michaël Aupetit 001; Michael Sedlmair (ESANN, 2018)

Caarvida: Visual Analytics for Test Drive Videos. - Alexander Achberger; René Cutura; Oguzhan Türksoy; Michael Sedlmair (AVI, 2020)

Comparing and Exploring High-Dimensional Data with Dimensionality Reduction Algorithms and Matrix Visualizations. - René Cutura; Michaël Aupetit 001; Jean-Daniel Fekete; Michael Sedlmair (AVI, 2020)

DRUIDJS - A JavaScript Library for Dimensionality Reduction. - René Cutura; Christoph Kralj; Michael Sedlmair (IEEE VIS (Short Papers), 2020)

Hagrid - Gridify Scatterplots with Hilbert and Gosper Curves. - René Cutura; Cristina Morariu; Zhanglin Cheng; Yunhai Wang; Daniel Weiskopf; Michael Sedlmair (VINCI, 2021)

DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality. - Cristina Morariu; Adrien Bibal; René Cutura; Benoît Frénay; Michael Sedlmair (CoRR, 2021)

Illegible Semantics: Exploring the Design Space of Metal Logos. - Gerrit J. Rijken; René Cutura; Frank Heyen; Michael Sedlmair; Michael Correll; Jason Dykes; Noeska N. Smit (CoRR, 2021)

Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. - Katrin Angerbauer; Nils Rodrigues; René Cutura; Seyda Öney; Nelusa Pathmanathan; Cristina Morariu; Daniel Weiskopf; Michael Sedlmair (CHI, 2022)

Metaphorical Visualization: Mapping Data to Familiar Concepts. - Gleb Tkachev; René Cutura; Michael Sedlmair; Steffen Frey; Thomas Ertl (CHI Extended Abstracts, 2022)

Hagrid: using Hilbert and Gosper curves to gridify scatterplots. - René Cutura; Cristina Morariu; Zhanglin Cheng; Yunhai Wang; Daniel Weiskopf; Michael Sedlmair (J. Vis., 2022)

Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. - Katrin Angerbauer; Nils Rodrigues; René Cutura; Seyda Öney; Nelusa Pathmanathan; Cristina Morariu; Daniel Weiskopf; Michael Sedlmair (DaRUS, 2022)

Predicting User Preferences of Dimensionality Reduction Embedding Quality. - Cristina Morariu; Adrien Bibal; René Cutura; Benoît Frénay; Michael Sedlmair (IEEE Trans. Vis. Comput. Graph., 2023)

An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. - Mohsen Jenadeleh; Frederik L. Dennig; René Cutura; Quynh Quang Ngo; Daniel A. Keim; Michael Sedlmair; Dietmar Saupe (QoMEX, 2024)