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  • Paul’s publications in our group

Paul Fischer

PhD student - University of Tübingen

Email

Paul joined the Machine Learning in Medical Image Analysis group as a PhD student to work on uncertainty quantification in medical prediction systems. Prior to that, he worked on probabilistic machine learning models for behavior quantification for animals at the Mackelab.

Starting in November 2025, Paul is working as a post-doc at the Department of Biomedical Engineering at the University of Basel, and preparing for his PhD defence.

Education

M.Sc. Computer Science | University of Tübingen | 2021
B.Sc. Cognitive Science | University of Tübingen | 2019


Paul’s publications in our group

Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapy

Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapy
Moritz Schneider, Simon Gutwein, David Mönnich, Cihan Gani, Paul Fischer, Christian F. Baumgartner, Daniela Thorwarth
Physics and Imaging in Radiation Oncology, 33, 100723 (2025)

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CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI
Paul Fischer, Jan Nikolas Morshuis, Thomas Kustner, Christian F. Baumgartner
arXiv preprint arXiv:2508.14952 (2025)

preprint URL

Conformal Performance Range Prediction for Segmentation Output Quality Control

Conformal Performance Range Prediction for Segmentation Output Quality Control
Anna M. Wundram, Paul Fischer, Michael Mühlebach, Lisa M. Koch, Christian F. Baumgartner
Lecture Notes in Computer Science, 81-91 (2024)

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1930 Estimating uncertainty for AI-based dose modelling in MRI-guided RT using ensemble networks, mean variance estimation and Monte Carlo dropout
Tabea Eberhardt, Moritz Schneider, Christian F. Baumgartner, Paul Fischer, Maximilian Niyazi, Daniela Thorwarth
Radiotherapy and Oncology, 206, S3387-S3389 (2025)

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Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy
Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael Muehlebach, Christian F. Baumgartner
Lecture Notes in Computer Science, 696-706 (2024)

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SC29.02 UNCERTAINTY ESTIMATION FOR AI-BASED DOSE MODELLING IN MR-GUIDED RADIOTHERAPY USING ENSEMBLE LEARNING AND MONTE CARLO DROPOUT
T. Eberhardt, M. Schneider, Paul Fischer, C. Gani, Christian F. Baumgartner, D. Thorwarth
Physica Medica, 125, 103527 (2024)

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PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner
Lecture Notes in Computer Science, 717-727 (2024)

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Leveraging probabilistic segmentation models for improved glaucoma diagnosis: A clinical pipeline approach

Leveraging probabilistic segmentation models for improved glaucoma diagnosis: A clinical pipeline approach
Anna M. Wundram, Paul Fischer, Stephan Wunderlich, Hanna Faber, Lisa M Koch, Philipp Berens, Christian F. Baumgartner
Proceedings of Machine Learning Research, 25-, 1725-1740 (2024)

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Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction

Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction
Paul Fischer, K. Thomas, Christian F. Baumgartner
Lecture Notes in Computer Science, 84-94 (2023)

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preprint URL

K2S Challenge: From Undersampled K-Space to Automatic Segmentation

K2S Challenge: From Undersampled K-Space to Automatic Segmentation
Aniket A. Tolpadi, Upasana Bharadwaj, Kenneth T. Gao, Rupsa Bhattacharjee, Felix G. Gassert, Johanna Luitjens, Paula Giesler, Jan Nikolas Morshuis, Paul Fischer, Matthias Hein, Christian F. Baumgartner, Artem Razumov, Dmitry Dylov, Quintin van Lohuizen, Stefan J. Fransen, Xiaoxia Zhang, Radhika Tibrewala, Hector Lise de Moura, Kangning Liu, Marcelo V. W. Zibetti, Ravinder Regatte, Sharmila Majumdar, Valentina Pedoia
Bioengineering, 10, 267 (2023)

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