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IEEE Transactions on Medical Imaging|July 29, 2024
Weakly Supervised Object Detection in Chest X-Rays With Differentiable ROI Proposal Networks and Soft ROI PoolingPhilip Muller, Felix Meissen, Georgios Kaissis, et al.IEEE Transactions on Medical Imaging|July 28, 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the ArtIoannis Lagogiannis, Felix Meissen, Georgios Kaissis, et al.Nature|June 24, 2026
Disparate privacy risks from medical AIMoritz A Knolle, Martin J Menten, Friederike Jungmann, et al.Entropy (Basel, Switzerland)|May 28, 2022
Privacy: An Axiomatic ApproachAlexander Ziller, Tamara T Mueller, Rickmer Braren, et al.Scientific Reports|June 30, 2021
Medical imaging deep learning with differential privacyAlexander Ziller, Dmitrii Usynin, Rickmer Braren, et al.Ebiomedicine|February 9, 2024
(Predictable) performance bias in unsupervised anomaly detectionFelix Meissen, Svenja Breuer, Moritz Knolle, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2023
Differentially Private Graph Neural Networks for Whole-Graph ClassificationTamara T Mueller, Johannes C Paetzold, Chinmay Prabhakar, et al.Plos One|August 19, 2021
Efficient, high-performance semantic segmentation using multi-scale feature extractionMoritz Knolle, Georgios Kaissis, Friederike Jungmann, et al.Communications Medicine|March 15, 2024
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imagingSoroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, et al.Translational Gastroenterology and Hepatology|June 25, 2019
Pancreatic cancer detection and characterization-state of the art cross-sectional imaging and imaging data analysisGeorgios Kaissis, Rickmer BrarenPageof 46