Malte Tölle

According to our database, Malte Tölle authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Modal Dataset Creation for Federated~Learning with DICOM Structured Reports.

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

CoRR, 2024

Federated Foundation Model for Cardiac CT Imaging.

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

CoRR, 2024

FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels.

Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports.

Malte Tölle, Lukas Burger, Halvar Kelm, Sandy Engelhardt

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2022

Posterior temperature optimized Bayesian models for inverse problems in medical imaging.

Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt

Medical Image Anal., 2022

Content-Aware Differential Privacy with Conditional Invertible Neural Networks.

Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

2021

Posterior Temperature Optimization in Variational Inference.

Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer

CoRR, 2021

A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging.

Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior.

Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020