Efficient, high-performance pancreatic segmentation using multi-scale feature extraction. - Moritz Knolle; Georgios Kaissis; Friederike Jungmann; Sebastian Ziegelmayer; Daniel Sasse; Marcus R. Makowski; Daniel Rueckert; Rickmer Braren (CoRR, 2020)

Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. - Alina Dima; Johannes C. Paetzold; Friederike Jungmann; Tristan Lemke; Philipp Raffler; Georgios Kaissis; Daniel Rueckert; Rickmer Braren (MLMI@MICCAI, 2021)

Partial sensitivity analysis in differential privacy. - Tamara T. Mueller; Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Friederike Jungmann; Daniel Rueckert; Georgios Kaissis (CoRR, 2021)

End-to-end privacy preserving deep learning on multi-institutional medical imaging. - Georgios Kaissis; Alexander Ziller; Jonathan Passerat-Palmbach; Théo Ryffel; Dmitrii Usynin; Andrew Trask; Ionésio Lima; Jason Mancuso; Friederike Jungmann; Marc-Matthias Steinborn; Andreas Saleh; Marcus R. Makowski; et al. (Nat. Mach. Intell., 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2021)

How Do Input Attributes Impact the Privacy Loss in Differential Privacy? - Tamara T. Mueller; Stefan Kolek; Friederike Jungmann; Alexander Ziller; Dmitrii Usynin; Moritz Knolle; Daniel Rueckert; Georgios Kaissis (CoRR, 2022)

Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index. - Georgios Kaissis; Moritz Knolle; Friederike Jungmann; Alexander Ziller; Dmitrii Usynin; Daniel Rueckert (J. Priv. Confidentiality, 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2022)

Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients. - Alexander Ziller; Ayhan Can Erdur; Friederike Jungmann; Daniel Rueckert; Rickmer Braren; Georgios Kaissis (ISBI, 2023)

Body Fat Estimation from Surface Meshes Using Graph Neural Networks. - Tamara T. Mueller; Siyu Zhou; Sophie Starck; Friederike Jungmann; Alexander Ziller; Orhun Aksoy; Danylo Movchan; Rickmer Braren; Georgios Kaissis; Daniel Rueckert (ShapeMI@MICCAI, 2023)

Explainable 2D Vision Models for 3D Medical Data. - Alexander Ziller; Alp Güvenir; Ayhan Can Erdur; Tamara T. Mueller; Philip Müller; Friederike Jungmann; Johannes Brandt; Jan Peeken; Rickmer Braren; Daniel Rueckert; Georgios Kaissis (CoRR, 2023)

Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort. - Hendrik Kristian Möller; Hanna Schön; Alina Dima; Benjamin Keinert-Weth; Robert Graf; Matan Atad; Johannes C. Paetzold; Friederike Jungmann; Rickmer Braren; Florian Kofler; Bjoern H. Menze; Daniel Rueckert; et al. (CoRR, 2025)