| A Survey on Visualizations for Musical Data R Khulusi, J Kusnick, C Meinecke, C Gillmann, J Focht, S Jänicke Computer Graphics Forum, 2020 | 81 | 2020 |
| Uncertainty‐aware Visualization in Medical Imaging‐A Survey C Gillmann, D Saur, T Wischgoll, G Scheuermann Computer Graphics Forum 40 (3), 665-689, 2021 | 33 | 2021 |
| Ten open challenges in medical visualization C Gillmann, NN Smit, E Gröller, B Preim, A Vilanova, T Wischgoll IEEE Computer Graphics and Applications 41 (5), 7-15, 2021 | 26 | 2021 |
| Visualizing multimodal deep learning for lesion prediction C Gillmann, L Peter, C Schmidt, D Saur, G Scheuermann IEEE Computer Graphics and Applications 41 (5), 90-98, 2021 | 18 | 2021 |
| From theory to usage: Requirements for successful visualizations in applications C Gillmann, H Leitte, T Wischgoll, H Hagen IEEE Visualization Conference (VIS)-C4PGV Workshop 5, 2016 | 16 | 2016 |
| An uncertainty-aware visual system for image pre-processing C Gillmann, P Arbelaez, JT Hernandez, H Hagen, T Wischgoll Journal of Imaging 4 (9), 109, 2018 | 15 | 2018 |
| How to deal with Uncertainty in Machine Learning for Medical Imaging? C Gillmann, D Saur, G Scheuermann | 13 | 2021 |
| Fast 3D Thinning of Medical Image Data based on Local Neighborhood Lookups. T Post, C Gillmann, T Wischgoll, H Hagen EuroVis (Short Papers), 43-47, 2016 | 11 | 2016 |
| A framework for uncertainty-aware visual analytics of proteins RGC Maack, ML Raymer, T Wischgoll, H Hagen, C Gillmann Computers & Graphics 98, 293-305, 2021 | 10 | 2021 |
| An uncertainty-aware workflow for keyhole surgery planning using hierarchical image semantics C Gillmann, RGC Maack, T Post, T Wischgoll, H Hagen Visual Informatics 2 (1), 26-36, 2018 | 10 | 2018 |
| Intuitive Error Space Exploration of Medical Image Data in Clinical Daily Routine C Gillmann, P Arbeláez, JTH Peñaloza, H Hagen, T Wischgoll | 10 | 2017 |
| Modeling and Visualization of Uncertainty-aware Geometry using Multi-variate Normal Distributions C Gillmann, T Wischgoll, B Hamann, J Ahrens IEEE Pacific Vis Short Paper Track, 4, 2018 | 9 | 2018 |
| Accurate and reliable extraction of surfaces from image data using a multi-dimensional uncertainty model C Gillmann, T Wischgoll, B Hamann, H Hagen Graphical Models 99, 13-21, 2018 | 8 | 2018 |
| Uncertainty-awareness in open source visualization solutions C Gillmann, T Wischgoll, H Hagen IEEE Vis 2016 Workshop on Visualization in Practice, 2016 | 8 | 2016 |
| Uncertainty-aware visual analytics: scope, opportunities, and challenges RGC Maack, G Scheuermann, H Hagen, JTH Peñaloza, C Gillmann The Visual Computer 39 (12), 6345-6366, 2023 | 7 | 2023 |
| Effect of the output activation function on the probabilities and errors in medical image segmentation L Nieradzik, G Scheuermann, D Saur, C Gillmann arXiv preprint arXiv:2109.00903, 2021 | 7 | 2021 |
| Hierarchical image semantics using probabilistic path propagations for biomedical research C Gillmann, T Post, T Wischgoll, H Hagen, R Maciejewski IEEE Computer Graphics and Applications 39 (6), 86-101, 2019 | 7 | 2019 |
| Improving visual communication for eit-based lung research C Gillmann, P Salz 2014 IEEE Pacific Visualization Symposium, 291-295, 2014 | 7 | 2014 |
| Uncertainty-aware brain lesion visualization C Gillmann, D Saur, T Wischgoll, KT Hoffman, H Hagen, R Maciejewski, ... Eurographics Workshop on Visual Computing for Biology and Medicine, 97, 2020 | 6 | 2020 |
| Towards Closing the Gap of Medical Visualization Research and Clinical Daily Routine RGC Maack, D Saur, H Hagen, G Scheuermann, C Gillmann Eurographics Digital Library, 2020 | 6 | 2020 |
Thomas WischgollProfessor of Computer Science and Engineering, Wright State UniversityBestätigte E-Mail-Adresse bei wright.edu
