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Malte Tölle
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Journal Articles
- 2022
- [j1]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer
, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. Medical Image Anal. 78: 102382 (2022)
Conference and Workshop Papers
- 2024
- [c5]Malte Tölle
Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports. Bildverarbeitung für die Medizin 2024: 130-135 - [c4]Malte Tölle
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. MICCAI (10) 2024: 405-415 - 2022
- [c3]Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt:
Content-Aware Differential Privacy with Conditional Invertible Neural Networks. DeCaF/FAIR@MICCAI 2022: 89-99 - 2021
- [c2]Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer:
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging. MIDL 2021: 745-760 - 2020
- [c1]Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier:
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. UNSURE/GRAIL@MICCAI 2020: 81-96
Informal and Other Publications
- 2024
- [i7]Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern H. Menze, Sandy Engelhardt:
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. CoRR abs/2407.07488 (2024) - [i6]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:
Federated Foundation Model for Cardiac CT Imaging. CoRR abs/2407.07557 (2024) - [i5]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:
Multi-Modal Dataset Creation for Federated~Learning with DICOM Structured Reports. CoRR abs/2407.09064 (2024) - 2022
- [i4]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. CoRR abs/2202.00986 (2022) - [i3]Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt:
Content-Aware Differential Privacy with Conditional Invertible Neural Networks. CoRR abs/2207.14625 (2022) - 2021
- [i2]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer:
Posterior Temperature Optimization in Variational Inference. CoRR abs/2106.07533 (2021) - 2020
- [i1]Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier:
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. CoRR abs/2008.08837 (2020)
Coauthor Index
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