Lucas Zimmer

17 papers A* 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
TumorFlow: Physics-Guided Longitudinal MRI Synthesis of Glioblastoma Growth.
CoRR
Valentin Biller, Niklas Bubeck, Lucas Zimmer, Ayhan Can Erdur, Sandeep Nagar, Anke Meyer-Baese, Daniel Rückert, Benedikt Wiestler, Jonas Weidner
2025 — conf
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis.
BraTS-Lighthouse/AIMS-TBI@MICCAI (2)
Valentin Biller, Lucas Zimmer, Can Erdur, Sandeep Nagar, Daniel Rückert, Niklas Bubeck, Jonas Weidner
2025 J jnl
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis.
CoRR
Valentin Biller, Lucas Zimmer, Can Erdur, Sandeep Nagar, Daniel Rückert, Niklas Bubeck, Jonas Weidner
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
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis.
CoRR
Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik Kristian Möller, Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf A. Heckemann, Spyridon Bakas, Jan Kirschke, Constantin von See, Ivan Ezhov, Marie Piraud, Benedikt Wiestler, 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
2024 J jnl
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR
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, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, 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
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.
Medical Image Anal.
Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipková, Florian Kofler, Johannes C. Paetzold, Luca Canalini, Diana Waldmannstetter, Martin J. Menten, Marie Metz, Benedikt Wiestler, Bjoern H. Menze
2022 — conf
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling.
ML4H@NeurIPS
Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Felix Steinbauer, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Martin J. Menten, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze
2022 J jnl
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR
Ivan Ezhov, Marcel Rosier, Lucas Zimmer, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Kevin Scibilia, Leon Mächler, Katharina Franitza, Tamaz Amiranashvili, Marie Metz, Sailesh Conjeti, Benedikt Wiestler, Bjoern H. Menze
2022 A* conf
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.
ICLR
Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter
2021 J jnl
Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL.
IEEE Trans. Pattern Anal. Mach. Intell.
Lucas Zimmer, Marius Lindauer, Frank Hutter
2021 J jnl
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling.
CoRR
Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipková, Florian Kofler, Johannes C. Paetzold, Luca Canalini, Diana Waldmannstetter, Martin J. Menten, Marie Metz, Benedikt Wiestler, Bjoern H. Menze
2020 J jnl
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL.
CoRR
Lucas Zimmer, Marius Lindauer, Frank Hutter
2020 J jnl
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search.
CoRR
Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter