An Uncertainty-aware Workflow for Keyhole Surgery Planning using Hierarchical Image Semantics. - Christina Gillmann; Robin G. C. Maack; Tobias Post; Thomas Wischgoll; Hans Hagen (Vis. Informatics, 2018)

Uncertainty-Aware Ramachandran Plots. - Robin Georg Claus Maack; Christina Gillmann; Hans Hagen (PacificVis, 2019)

Towards Closing the Gap of Medical Visualization Research and Clinical Daily Routine. - Robin Georg Claus Maack; Dorothee Saur; Hans Hagen; Gerik Scheuermann; Christina Gillmann (VisGap@Eurographics/EuroVis, 2020)

A framework for uncertainty-aware visual analytics of proteins. - Robin G. C. Maack; Michael L. Raymer; Thomas Wischgoll; Hans Hagen; Christina Gillmann (Comput. Graph., 2021)

A Taxonomy of Uncertainty Events in Visual Analytics. - Christina Gillmann; Robin Georg Claus Maack; Felix Raith; Juan F. Pérez; Gerik Scheuermann (IEEE Computer Graphics and Applications, 2023)

Uncertainty-aware visual analytics: scope, opportunities, and challenges. - Robin G. C. Maack; Gerik Scheuermann; Hans Hagen; José Tiberio Hernández Peñaloza; Christina Gillmann (Vis. Comput., 2023)

Parallel Computation of Piecewise Linear Morse-Smale Segmentations. - Robin G. C. Maack; Jonas Lukasczyk; Julien Tierny; Hans Hagen; Ross Maciejewski; Christoph Garth (IEEE Trans. Vis. Comput. Graph., 2024)

A workflow to systematically design uncertainty-aware visual analytics applications. - Robin G. C. Maack; Felix Raith; Juan F. Pérez; Gerik Scheuermann; Christina Gillmann (Vis. Comput., 2025)