Christina Gillmann

42 papers B 4Journal 23Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Service Architecture for Dataspaces. CoRR Benedikt T. Arnold, Christoph Lange, Christina Gillmann, Stefan Decker
2025	J	`jnl`	A workflow to systematically design uncertainty-aware visual analytics applications. Vis. Comput. Robin G. C. Maack, Felix Raith, Juan F. Pérez, Gerik Scheuermann, Christina Gillmann
2025	J	`jnl`	How FAIR is VIS? IEEE Computer Graphics and Applications Daniel Wiegreffe, Christoph Garth, Guido Reina, Christina Gillmann
2025	J	`jnl`	Uncertainty-Aware Visualization of Biomolecular Structures. Comput. Graph. Forum Anna Sterzik, Christina Gillmann, Michael Krone, Kai Lawonn
2025	J	`jnl`	XFSC: A Catalogue of Trustable Semantic Metadata for Data Services and Providers. CoRR Benedikt T. Arnold, Khalil Baydoun, Diego Collarana, Sebastian Duda, Christina Gillmann, Ahmad Hemid, Philipp Hertweck, Paul Moosmann, Denis Sukhoroslov, Christoph Lange
2024	—	`ed.`	26th Eurographics Conference on Visualization, EuroVis 2024 - Posters, Odense, Denmark, May 27-31, 2024 EuroVis (Posters) Kostiantyn Kucher, Alexandra Diehl, Christina Gillmann
2024	J	`jnl`	Interactive Visualization in Applications. IEEE Computer Graphics and Applications Christina Gillmann, Johanna Schmidt, Daniel Wiegreffe
2024	—	`ed.`	The Gap between Visualization Research and Visualization Software, VisGap@EuroVis 2024, Odense, Denmark, May 27, 2024 VisGap@EuroVis Christina Gillmann, Michael Krone, Guido Reina, Thomas Wischgoll
2023	—	`ed.`	25th Eurographics Conference on Visualization, EuroVis 2023 - Posters, Leipzig, Germany, June 12-16, 2023 EuroVis (Posters) Christina Gillmann, Michael Krone, Simone Lenti
2023	J	`jnl`	A Problem Space for Designing Visualizations. IEEE Computer Graphics and Applications Michael Gleicher, Maria Riveiro, Tatiana von Landesberger, Oliver Deussen, Remco Chang, Christina Gillmann
2023	J	`jnl`	A Problem Space for Designing Visualizations. CoRR Michael Gleicher, Maria Riveiro, Tatiana von Landesberger, Oliver Deussen, Remco Chang, Christina Gillmann
2023	J	`jnl`	A Taxonomy of Uncertainty Events in Visual Analytics. IEEE Computer Graphics and Applications Christina Gillmann, Robin Georg Claus Maack, Felix Raith, Juan F. Pérez, Gerik Scheuermann
2023	B	`conf`	A Visual Analytics Inspired Approach to Correlate and Understand Multiple Mechanical Tensor Fields. PacificVis Vanessa Kretzschmar, Gerik Scheuermann, Markus Stommel, Christina Gillmann
2023	—	`ed.`	The Gap between Visualization Research and Visualization Software, VisGap@EuroVis 2023, Leipzig, Germany, June 12, 2023 VisGap@EuroVis Christina Gillmann, Michael Krone, Guido Reina, Thomas Wischgoll
2023	J	`jnl`	Uncertainty-aware visual analytics: scope, opportunities, and challenges. Vis. Comput. Robin G. C. Maack, Gerik Scheuermann, Hans Hagen, José Tiberio Hernández Peñaloza, Christina Gillmann
2023	J	`jnl`	Visualization in the Wild. IEEE Computer Graphics and Applications Christina Gillmann, Johanna Schmidt, Daniel Wiegreffe
2022	J	`jnl`	Special Issue on Visualization in Manufacturing. IEEE Computer Graphics and Applications Petra Gospodnetic, Christina Gillmann, Gerik Scheuermann
2022	—	`ed.`	Tthe Gap between Visualization Research and Visualization Software, VisGap@EuroVis 2022, Rome, Italy, June 13, 2022 VisGap@EuroVis Christina Gillmann, Michael Krone, Guido Reina, Thomas Wischgoll
2022	J	`jnl`	Uncertainty-aware Evaluation of Machine Learning Performance in binary Classification Tasks. J. WSCG Leo Sperling, Simon Lämmer, Hans Hagen, Gerik Scheuermann, Christina Gillmann
2022	—	`conf`	Understanding Graph Convolutional Networks to detect Brain Lesions from Stroke. VCBM Ariel Iporre-Rivas, Gerik Scheuermann, Christina Gillmann
2021	—	`ed.`	2nd Workshop on the Gap between Visualization Research and Visualization Software, VisGap@EuroVis 2021, Virtual Event, Switzerland, June 14, 2021 VisGap@EuroVis Christina Gillmann, Michael Krone, Guido Reina, Thomas Wischgoll
2021	J	`jnl`	A framework for uncertainty-aware visual analytics of proteins. Comput. Graph. Robin G. C. Maack, Michael L. Raymer, Thomas Wischgoll, Hans Hagen, Christina Gillmann
2021	J	`jnl`	Effect of the output activation function on the probabilities and errors in medical image segmentation. CoRR Lars Nieradzik, Gerik Scheuermann, Dorothee Saur, Christina Gillmann
2021	J	`jnl`	Ten Open Challenges in Medical Visualization. IEEE Computer Graphics and Applications Christina Gillmann, Noeska N. Smit, M. Eduard Gröller, Bernhard Preim, Anna Vilanova, Thomas Wischgoll, Theresa-Marie Rhyne
2021	—	`conf`	Uncertainty-aware Detection and Visualization of Ocean Eddies in Ensemble Flow Fields - A Case Study of the Red Sea. EnvirVis@EuroVis Felix Raith, Gerik Scheuermann, Christina Gillmann
2021	J	`jnl`	Uncertainty-aware Visualization in Medical Imaging - A Survey. Comput. Graph. Forum Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Gerik Scheuermann
2021	J	`jnl`	Visualizing Multimodal Deep Learning for Lesion Prediction. IEEE Computer Graphics and Applications Christina Gillmann, Lucas Peter, Carlo Schmidt, Dorothee Saur, Gerik Scheuermann, Mike Potel
2020	—	`ed.`	1st Workshop on the Gap between Visualization Research and Visualization Software, VisGap@Eurographics/EuroVis 2020, Norrköping, Sweden, May 25, 2020 [online only] VisGap@Eurographics/EuroVis Christina Gillmann, Michael Krone, Guido Reina, Thomas Wischgoll
2020	J	`jnl`	A Survey on Visualizations for Musical Data. Comput. Graph. Forum Richard Khulusi, Jakob Kusnick, Christofer Meinecke, Christina Gillmann, Josef Focht, Stefan Jänicke
2020	—	`conf`	Towards Closing the Gap of Medical Visualization Research and Clinical Daily Routine. VisGap@Eurographics/EuroVis Robin Georg Claus Maack, Dorothee Saur, Hans Hagen, Gerik Scheuermann, Christina Gillmann
2020	—	`conf`	Uncertainty-aware Brain Lesion Visualization. VCBM Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Karl-Titus Hoffmann, Hans Hagen, Ross Maciejewski, Gerik Scheuermann
2020	—	`conf`	Visualization Framework for Assisting Interface Optimization of Hybrid Component Design. VMV Vanessa Kretzschmar, Christina Gillmann, Fabian Günther, Markus Stommel, Gerik Scheuermann
2019	J	`jnl`	Hierarchical Image Semantics Using Probabilistic Path Propagations for Biomedical Research. IEEE Computer Graphics and Applications Christina Gillmann, Tobias Post, Thomas Wischgoll, Hans Hagen, Ross Maciejewski
2019	—	`—`	Image Processing under Uncertainty. Christina Gillmann
2019	B	`conf`	Uncertainty-Aware Ramachandran Plots. PacificVis Robin Georg Claus Maack, Christina Gillmann, Hans Hagen
2018	J	`jnl`	Accurate and reliable extraction of surfaces from image data using a multi-dimensional uncertainty model. Graph. Model. Christina Gillmann, Thomas Wischgoll, Bernd Hamann, Hans Hagen
2018	J	`jnl`	An Uncertainty-Aware Visual System for Image Pre-Processing. J. Imaging Christina Gillmann, Pablo Arbeláez, José Tiberio Hernández, Hans Hagen, Thomas Wischgoll
2018	J	`jnl`	An Uncertainty-aware Workflow for Keyhole Surgery Planning using Hierarchical Image Semantics. Vis. Informatics Christina Gillmann, Robin G. C. Maack, Tobias Post, Thomas Wischgoll, Hans Hagen
2018	B	`conf`	Modeling and Visualization of Uncertainty-Aware Geometry Using Multi-variate Normal Distributions. PacificVis Christina Gillmann, Thomas Wischgoll, Bernd Hamann, James P. Ahrens
2017	—	`conf`	Intuitive Error Space Exploration of Medical Image Data in Clinical Daily Routine. EuroVis (Short Papers) Christina Gillmann, Pablo Arbeláez, José Tiberio Hernández, Hans Hagen, Thomas Wischgoll
2016	—	`conf`	Fast 3D Thinning of Medical Image Data based on Local Neighborhood Lookups. EuroVis (Short Papers) Tobias Post, Christina Gillmann, Thomas Wischgoll, Hans Hagen
2014	B	`conf`	Improving Visual Communication for EIT-Based Lung Research. PacificVis Christina Gillmann, Peter Salz