SIVERT Publications
Uncertainty-aware spot rejection rate as quality metric for proton therapy using a digital tracking calorimeter
Alexander Schilling, Max Aehle, Christoph Garth, Nicolas R. Gauger, Ralf Keidel, Tobias Kortus, Viktor Leonhardt, Raju Ningappa Mulawade, Steffen Wendzel, Alexander Wiebel, Sebastian Zillien, et al.
Physics in Medicine & Biology. Bd. 68. H. 19. IOP Publishing 2023 S. 194001
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Efficient Forward-Mode Algorithmic Derivatives of Geant4
Max Aehle, Xuan Tung Nguyen, Mihály Novák, Tommaso Dorigo, Nicolas R. Gauger, Jan Kieseler, Markus Klute, Vassil Vassilev
arXiv preprint, 2024
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Optimization Using Pathwise Algorithmic Derivatives of Electromagnetic Shower Simulations
Max Aehle, Mihály Novák, Vassil Vassilev, Nicolas R. Gauger, Lukas Heinrich, Michael Kagan, David Lange
arXiv preprint, 2024
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Exploring End-to-end Differentiable Neural Charged Particle Tracking - A Loss Landscape Perspective
Tobias Kortus, Ralf Keidel, Nicolas R. Gauger
arXiv preprint, 2024
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A Framework for Visual Comparison of Scalar Fields with Uncertainty
Viktor Leonhardt, Alexander Wiebel, Christoph Garth
The Visual Computer, 2024
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Explainable Artificial Intelligence (XAI) for Methods Working on Point Cloud Data – A Survey
Raju N. Mulawade, Christoph Garth, Alexander Wiebel
IEEE Access 12:146830-146851, 2024
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Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters with Reinforcement Learning
T. Kortus, R. Keidel, N. R. Gauger and on behalf of the Bergen pCT collaboration
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A High-Granularity Digital Tracking Calorimeter Optimized for Proton CT
Alme, Johan; Barnaföldi, Gergely Gábor; Keidel, Ralf et al.
Frontiers in Physics. Vol. 8. Frontiers Media SA 2020 pp. 1 - 30
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Investigating particle track topology for range telescopes in particle radiography using convolutional neural networks
Pettersen, Helge Egil Seime; Aehle, Max; Alme, Johan et al.
Acta Oncologica. Vol. 60(11). Taylor & Francis 2021 pp. 1413-1418
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Saliency Clouds: Visual Analysis of Point Cloud-oriented Deep Neural Networks in DeepRL for Particle Physics
Mulawade, Raju Ningappa; Garth, Christoph; Wiebel, Alexander; on behalf of the Bergen pCT Collaboration
In Proceedings of Machine Learning Methods in Visualisation for Big Data (2022), D. Archambault, J. Peltonen, and I. Nabney (Editors). The Eurographics Association. 2022.
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Semi-Automatic Particle Tracking for and Visualization of Particle Detector Data
Eschbach, Robin; Messerschmidt, Kai; Keidel, Ralf; Wiebel, Alexander; on behalf of the Bergen pCT Collaboration
In Proceedings Vision, Modeling, and Visualization (2022) J. Bender, M. Botsch, and D. Keim (Editors). The Eurographics Association. 2022. Accepted.
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Tracking of Proton Traces in a Digital Tracking Calorimeter using Reinforcement Learning
Kortus, Tobias; Keidel, Ralf; Nicolas R. Gauger; on behalf of the Bergen pCT Collaboration
CERN. 2022.
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Derivatives in Proton CT
Max Aehle, Christoph Garth, Nicolas R. Gauger, Ralf Keidel, Tobias Kortus, Viktor Leonhardt, Raju Ningappa Mulawade, Alexander Schilling, Steffen Wendzel, Alexander Wiebel, Sebastian Zillien, et al.
arXiv preprint, 2022.
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The Bergen proton CT system
M. Aehle, V. Eikeland, C. Garth, N.R. Gauger, R. Keidel, T. Kortus, V. Leonhardt, R.N. Mulawade, A. Schilling, S. Wendzel, A. Wiebel, S. Zillien, et al., on behalf of the Bergen pCT collaboration
Journal of Instrumentation, 18:C02051, 2023.
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Visual Analytics System for Understanding DeepRL-Based Charged Particle Tracking
Raju N. Mulawade, Christoph Garth, Alexander Wiebel, on bahlf of the Bergen pCT collaboration
The Visual Computer, 40(12):9083–9106, 2024.

Visual Analytics for the Explainability of DeepRL-based Charged Particle Tracking
Raju N. Mulawade, Christoph Garth, Alexander Wiebel, on bahlf of the Bergen pCT
Poster at Workshop "Explainable and Interpretable Artificial Intelligence/Machine Learning". Kaiserslautern. 2023.
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Pulsating Uncertainties: Visualization and Highlighting of Uncertainty in 3D Data Using Animated 2D Transfer
Viktor Leonhardt, Tobias Neeb, Christoph Garth, Alexander Wiebel
In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 1: GRAPP, HUCAPP and IVAPP, pages 799–806. 2025.
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