Malte Tölle

18 papers Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correction: Multi-modal dataset creation for federated learning with DICOM-structured reports.
Int. J. Comput. Assist. Radiol. Surg.
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt
2025 J jnl
Arbitrary Data as Images: Fusion of Patient Data Across Modalities and Irregular Intervals with Vision Transformers.
CoRR
Malte Tölle, Mohamad Scharaf, Samantha Fischer, Christoph Reich, Silav Zeid, Christoph Dieterich, Benjamin Meder, Norbert Frey, Philipp Wild, Sandy Engelhardt
2025 J jnl
Multi-modal dataset creation for federated learning with DICOM-structured reports.
Int. J. Comput. Assist. Radiol. Surg.
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt
2025 J jnl
Real world federated learning with a knowledge distilled transformer for cardiac CT imaging.
npj Digit. Medicine
Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt
2025 J jnl
Simulation of thoracic endovascular aortic repair in a perfused patient-specific model of type B aortic dissection.
Int. J. Comput. Assist. Radiol. Surg.
Lukas Mohl, Roger Karl, Matthias N. Hagedorn, Armin Runz, Stephan Skornitzke, Malte Tölle, C. Soeren Bergt, Johannes Hatzl, Christian Uhl, Dittmar Böckler, Katrin Meisenbacher, Sandy Engelhardt
2024 — conf
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels.
MICCAI (10)
Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt
2024 J jnl
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels.
CoRR
Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt
2024 J jnl
Federated Foundation Model for Cardiac CT Imaging.
CoRR
Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt
2024 J jnl
Multi-Modal Dataset Creation for Federated~Learning with DICOM Structured Reports.
CoRR
Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt
2024 — conf
Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports.
Bildverarbeitung für die Medizin
Malte Tölle, Lukas Burger, Halvar Kelm, Sandy Engelhardt
2022 — conf
Content-Aware Differential Privacy with Conditional Invertible Neural Networks.
DeCaF/FAIR@MICCAI
Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt
2022 J jnl
Content-Aware Differential Privacy with Conditional Invertible Neural Networks.
CoRR
Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt
2022 J jnl
Posterior temperature optimized Bayesian models for inverse problems in medical imaging.
CoRR
Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt
2022 J jnl
Posterior temperature optimized Bayesian models for inverse problems in medical imaging.
Medical Image Anal.
Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt
2021 — conf
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging.
MIDL
Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer
2021 J jnl
Posterior Temperature Optimization in Variational Inference.
CoRR
Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer
2020 — conf
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior.
UNSURE/GRAIL@MICCAI
Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier
2020 J jnl
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior.
CoRR
Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier