The operating system of the neuromorphic BrainScaleS-1 system. - Eric Müller 001; Sebastian Schmitt; Christian Mauch; Sebastian Billaudelle; Andreas Grübl; Maurice Güttler; Dan Husmann; Joscha Ilmberger; Sebastian Jeltsch; Jakob Kaiser; Johann Klähn; Mitja Kleider; et al. (Neurocomputing, 2022)

Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss. - Michal Balcerak; Ivan Ezhov; Petr Karnakov; Sergey Litvinov; Petros Koumoutsakos; Jonas Weidner; Ray Zirui Zhang; John S. Lowengrub; Benedikt Wiestler; Bjoern H. Menze (CoRR, 2023)

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization. - Michal Balcerak; Tamaz Amiranashvili; Andreas Wagner; Jonas Weidner; Petr Karnakov; Johannes C. Paetzold; Ivan Ezhov; Petros Koumoutsakos; Benedikt Wiestler; Bjoern H. Menze (NeurIPS, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning. - Jonas Weidner; Michal Balcerak; Ivan Ezhov; André Datchev; Laurin Lux; Lucas Zimmer; Daniel Rückert; Bjoern H. Menze; Benedikt Wiestler (CoRR, 2024)

Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models. - Zeineb Haouari; Jonas Weidner; Ivan Ezhov; Aswathi Varma; Daniel Rueckert; Bjoern H. Menze; Benedikt Wiestler (Bildverarbeitung für die Medizin, 2025)

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations. - Laurin Lux; Alexander H. Berger; Maria Romeo Tricas; Alaa E. Fayed; Sobha Sivaprasad; Linus Kreitner; Jonas Weidner; Martin J. Menten; Daniel Rueckert; Johannes C. Paetzold (CoRR, 2025)

A Learnable Prior Improves Inverse Tumor Growth Modeling. - Jonas Weidner; Ivan Ezhov; Michal Balcerak; Marie-Christin Metz; Sergey Litvinov; Sebastian Kaltenbach; Leonhard F. Feiner; Laurin Lux; Florian Kofler; Jana Lipková; Jonas Latz; Daniel Rueckert; et al. (IEEE Trans. Medical Imaging, 2025)