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Rickmer Braren

Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany

Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients


Nov 08, 2022
Alexander Ziller, Ayhan Can Erdur, Friederike Jungmann, Daniel Rueckert, Rickmer Braren, Georgios Kaissis

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Longitudinal Self-Supervision for COVID-19 Pathology Quantification


Mar 21, 2022
Tobias Czempiel, Coco Rogers, Matthias Keicher, Magdalini Paschali, Rickmer Braren, Egon Burian, Marcus Makowski, Nassir Navab, Thomas Wendler, Seong Tae Kim

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* 10 pages, 3 figures 

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Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans


Oct 03, 2021
Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler

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* 10 pages, 11 figures, 4 tables 

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Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty


Aug 04, 2021
Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis

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* Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop 

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U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction


Jul 29, 2021
Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler

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* 18 pages, 5 figures, submitted to Medical Image Analysis 

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Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty


Jul 09, 2021
Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis

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* Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop 

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Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation


Jul 09, 2021
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus Makowski, Daniel Rueckert, Georgios Kaissis

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* Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop 

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Differentially private federated deep learning for multi-site medical image segmentation


Jul 06, 2021
Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

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* Submitted to the Journal of Machine Learning in Biomedical Imaging (MELBA) 

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Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs


Mar 12, 2021
Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler

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* 10 pages, 2 figures 

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A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data


Mar 10, 2021
Hans Liebl, David Schinz, Anjany Sekuboyina, Luca Malagutti, Maximilian T. Löffler, Amirhossein Bayat, Malek El Husseini, Giles Tetteh, Katharina Grau, Eva Niederreiter, Thomas Baum, Benedikt Wiestler, Bjoern Menze, Rickmer Braren, Claus Zimmer, Jan S. Kirschke

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* 18 pages, 2 figures, 2 tables; Hans Liebl, David Schinz equally contributed to this manuscript 

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