Michal Balcerak

13 papers A* 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation.
CoRR
Michal Balcerak, Suprosana Shit, Chinmay Prabhakar, Sebastian Kaltenbach, Michael S. Albergo, Yilun Du, Bjoern Menze
2025 J jnl
A Learnable Prior Improves Inverse Tumor Growth Modeling.
IEEE Trans. Medical Imaging
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, Bjoern H. Menze, Benedikt Wiestler
2025 — conf
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration.
CMMCA@MICCAI
Jonas Weidner, Michal Balcerak, Ivan Ezhov, André Datchev, Laurin Lux, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2025 J jnl
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling.
CoRR
Michal Balcerak, Tamaz Amiranashvili, Suprosanna Shit, Antonio Terpin, Sebastian Kaltenbach, Petros Koumoutsakos, Bjoern H. Menze
2025 — conf
From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging.
CDMRI@MICCAI
Jonas Weidner, Ivan Ezhov, Michal Balcerak, André Datchev, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2025 J jnl
PREDICT-GBM: Platform for Robust Evaluation and Development of Individualized Computational Tumor Models in Glioblastoma.
CoRR
Lucas Zimmer, Jonas Weidner, Michal Balcerak, Florian Kofler, Ivan Ezhov, Bjoern H. Menze, Benedikt Wiestler
2025 J jnl
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans.
Medical Image Anal.
Ray Zirui Zhang, Ivan Ezhov, Michal Balcerak, Andy Zhu, Benedikt Wiestler, Bjoern H. Menze, John S. Lowengrub
2024 J jnl
A Learnable Prior Improves Inverse Tumor Growth Modeling.
CoRR
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, Bjoern H. Menze, Benedikt Wiestler
2024 A* conf
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization.
NeurIPS
Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern H. Menze
2024 J jnl
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization.
CoRR
Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern H. Menze
2024 J jnl
Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning.
CoRR
Jonas Weidner, Michal Balcerak, Ivan Ezhov, André Datchev, Laurin Lux, Lucas Zimmer, Daniel Rückert, Bjoern H. Menze, Benedikt Wiestler
2023 J jnl
Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss.
CoRR
Michal Balcerak, Ivan Ezhov, Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos, Jonas Weidner, Ray Zirui Zhang, John S. Lowengrub, Benedikt Wiestler, Bjoern H. Menze
2023 J jnl
Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans.
CoRR
Ray Zirui Zhang, Ivan Ezhov, Michal Balcerak, Andy Zhu, Benedikt Wiestler, Bjoern H. Menze, John S. Lowengrub