Improving Visual Communication for EIT-Based Lung Research. - Christina Gillmann; Peter Salz (PacificVis, 2014)

Fast 3D Thinning of Medical Image Data based on Local Neighborhood Lookups. - Tobias Post; Christina Gillmann; Thomas Wischgoll; Hans Hagen (EuroVis (Short Papers), 2016)

Intuitive Error Space Exploration of Medical Image Data in Clinical Daily Routine. - Christina Gillmann; Pablo Arbeláez; José Tiberio Hernández; Hans Hagen; Thomas Wischgoll (EuroVis (Short Papers), 2017)

Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions. - Christina Gillmann; Thomas Wischgoll; Bernd Hamann; James P. Ahrens (PacificVis, 2018)

Accurate and reliable extraction of surfaces from image data using a multi-dimensional uncertainty model. - Christina Gillmann; Thomas Wischgoll; Bernd Hamann; Hans Hagen (Graph. Model., 2018)

An Uncertainty-Aware Visual System for Image Pre-Processing. - Christina Gillmann; Pablo Arbeláez; José Tiberio Hernández; Hans Hagen; Thomas Wischgoll (J. Imaging, 2018)

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)

Hierarchical Image Semantics Using Probabilistic Path Propagations for Biomedical Research. - Christina Gillmann; Tobias Post; Thomas Wischgoll; Hans Hagen; Ross Maciejewski (IEEE Computer Graphics and Applications, 2019)

Image Processing under Uncertainty. - Christina Gillmann (2019)

Uncertainty-aware Brain Lesion Visualization. - Christina Gillmann; Dorothee Saur; Thomas Wischgoll; Karl-Titus Hoffmann; Hans Hagen; Ross Maciejewski; Gerik Scheuermann (VCBM, 2020)

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)

Visualization Framework for Assisting Interface Optimization of Hybrid Component Design. - Vanessa Kretzschmar; Christina Gillmann; Fabian Günther; Markus Stommel; Gerik Scheuermann (VMV, 2020)

A Survey on Visualizations for Musical Data. - Richard Khulusi; Jakob Kusnick; Christofer Meinecke; Christina Gillmann; Josef Focht; Stefan Jänicke (Comput. Graph. Forum, 2020)

Uncertainty-aware Detection and Visualization of Ocean Eddies in Ensemble Flow Fields - A Case Study of the Red Sea. - Felix Raith; Gerik Scheuermann; Christina Gillmann (EnvirVis@EuroVis, 2021)

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)

Visualizing Multimodal Deep Learning for Lesion Prediction. - Christina Gillmann; Lucas Peter; Carlo Schmidt; Dorothee Saur; Gerik Scheuermann; Mike Potel (IEEE Computer Graphics and Applications, 2021)

Ten Open Challenges in Medical Visualization. - Christina Gillmann; Noeska N. Smit; M. Eduard Gröller; Bernhard Preim; Anna Vilanova; Thomas Wischgoll; Theresa-Marie Rhyne (IEEE Computer Graphics and Applications, 2021)

Uncertainty-aware Visualization in Medical Imaging - A Survey. - Christina Gillmann; Dorothee Saur; Thomas Wischgoll; Gerik Scheuermann (Comput. Graph. Forum, 2021)

Effect of the output activation function on the probabilities and errors in medical image segmentation. - Lars Nieradzik; Gerik Scheuermann; Dorothee Saur; Christina Gillmann (CoRR, 2021)

Understanding Graph Convolutional Networks to detect Brain Lesions from Stroke. - Ariel Iporre-Rivas; Gerik Scheuermann; Christina Gillmann (VCBM, 2022)

Special Issue on Visualization in Manufacturing. - Petra Gospodnetic; Christina Gillmann; Gerik Scheuermann (IEEE Computer Graphics and Applications, 2022)

Uncertainty-aware Evaluation of Machine Learning Performance in binary Classification Tasks. - Leo Sperling; Simon Lämmer; Hans Hagen; Gerik Scheuermann; Christina Gillmann (J. WSCG, 2022)

A Visual Analytics Inspired Approach to Correlate and Understand Multiple Mechanical Tensor Fields. - Vanessa Kretzschmar; Gerik Scheuermann; Markus Stommel; Christina Gillmann (PacificVis, 2023)

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)

Visualization in the Wild. - Christina Gillmann; Johanna Schmidt; Daniel Wiegreffe (IEEE Computer Graphics and Applications, 2023)

A Problem Space for Designing Visualizations. - Michael Gleicher; Maria Riveiro 001; Tatiana von Landesberger; Oliver Deussen; Remco Chang; Christina Gillmann (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)

Interactive Visualization in Applications. - Christina Gillmann; Johanna Schmidt; Daniel Wiegreffe (IEEE Computer Graphics and Applications, 2024)

How FAIR is VIS? - Daniel Wiegreffe; Christoph Garth; Guido Reina; Christina Gillmann (IEEE Computer Graphics and Applications, 2025)

Uncertainty-Aware Visualization of Biomolecular Structures. - Anna Sterzik; Christina Gillmann; Michael Krone; Kai Lawonn (Comput. Graph. Forum, 2025)

XFSC: A Catalogue of Trustable Semantic Metadata for Data Services and Providers. - Benedikt T. Arnold; Khalil Baydoun; Diego Collarana; Sebastian Duda; Christina Gillmann; Ahmad Hemid; Philipp Hertweck; Paul Moosmann; Denis Sukhoroslov; Christoph Lange 002 (CoRR, 2025)

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)

A Service Architecture for Dataspaces. - Benedikt T. Arnold; Christoph Lange 002; Christina Gillmann; Stefan Decker (CoRR, 2025)