Christina Gillmann

According to our database, Christina Gillmann authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Interactive Visualization in Applications.

Christina Gillmann, Johanna Schmidt, Daniel Wiegreffe

IEEE Computer Graphics and Applications, 2024

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., December, 2023

A Problem Space for Designing Visualizations.

Michael Gleicher, Maria Riveiro, Tatiana von Landesberger, Oliver Deussen, Remco Chang, Christina Gillmann

IEEE Computer Graphics and Applications, 2023

Visualization in the Wild.

Christina Gillmann, Johanna Schmidt, Daniel Wiegreffe

IEEE Computer Graphics and Applications, 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

A Visual Analytics Inspired Approach to Correlate and Understand Multiple Mechanical Tensor Fields.

Vanessa Kretzschmar, Gerik Scheuermann, Markus Stommel, Christina Gillmann

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

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

Special Issue on Visualization in Manufacturing.

Petra Gospodnetic, Christina Gillmann, Gerik Scheuermann

IEEE Computer Graphics and Applications, 2022

Understanding Graph Convolutional Networks to detect Brain Lesions from Stroke.

Ariel Iporre-Rivas, Gerik Scheuermann, Christina Gillmann

Proceedings of the VCBM 2022: Eurographics Workshop on Visual Computing for Biology and Medicine, Vienna, Austria, September 22, 2022

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

Uncertainty-aware Visualization in Medical Imaging - A Survey.

Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Gerik Scheuermann

Comput. Graph. Forum, 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

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

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

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

Proceedings of the 9th Workshop on Visualisation in Environmental Sciences, 2021

2020

A Survey on Visualizations for Musical Data.

Richard Khulusi, Jakob Kusnick, Christofer Meinecke, Christina Gillmann, Josef Focht, Stefan Jänicke

Comput. Graph. Forum, 2020

Visualization Framework for Assisting Interface Optimization of Hybrid Component Design.

Vanessa Kretzschmar, Christina Gillmann, Fabian Günther, Markus Stommel, Gerik Scheuermann

Proceedings of the 25th International Symposium on Vision, Modeling and Visualization, 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

Proceedings of the 1st Workshop on the Gap between Visualization Research and Visualization Software, 2020

Uncertainty-aware Brain Lesion Visualization.

Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Karl-Titus Hoffmann, Hans Hagen, Ross Maciejewski, Gerik Scheuermann

Proceedings of the 10th Eurographics Workshop on Visual Computing for Biology and Medicine, 2020

2019

Image Processing under Uncertainty.

Christina Gillmann

PhD thesis, 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

Uncertainty-Aware Ramachandran Plots.

Robin Georg Claus Maack, Christina Gillmann, Hans Hagen

Proceedings of the IEEE Pacific Visualization Symposium, 2019

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

An Uncertainty-Aware Visual System for Image Pre-Processing.

Christina Gillmann, Pablo Arbeláez, José Tiberio Hernández, Hans Hagen, Thomas Wischgoll

J. Imaging, 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

Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions.

Christina Gillmann, Thomas Wischgoll, Bernd Hamann, James P. Ahrens

Proceedings of the IEEE Pacific Visualization Symposium, 2018

2017

Intuitive Error Space Exploration of Medical Image Data in Clinical Daily Routine.

Christina Gillmann, Pablo Arbeláez, José Tiberio Hernández, Hans Hagen, Thomas Wischgoll

Proceedings of the 19th Eurographics Conference on Visualization, 2017

2016

Fast 3D Thinning of Medical Image Data based on Local Neighborhood Lookups.

Tobias Post, Christina Gillmann, Thomas Wischgoll, Hans Hagen

Proceedings of the 18th Eurographics Conference on Visualization, 2016

2014

Improving Visual Communication for EIT-Based Lung Research.

Christina Gillmann, Peter Salz

Proceedings of the IEEE Pacific Visualization Symposium, 2014