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)

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)

Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans. - Ray Zirui Zhang; Ivan Ezhov; Michal Balcerak; Andy Zhu; Benedikt Wiestler; Bjoern H. Menze; John S. Lowengrub (Medical Image Anal., 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)

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling. - Michal Balcerak; Tamaz Amiranashvili; Suprosanna Shit; Antonio Terpin; Sebastian Kaltenbach; Petros Koumoutsakos; Bjoern H. Menze (CoRR, 2025)