3 citations · 4 across the 3 of their papers we have counts for
3 papers
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation
Bach Kim, Jose Dolz, Pierre-Marc Jodoin +1
Privacy protection in medical data is a legitimate obstacle for centralized machine learning applications. Here, we propose a client-server image segmentation system which allows f…
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy
Bach Ngoc Kim, Jose Dolz, Christian Desrosiers +1
We propose a client-server system which allows for the analysis of multi-centric medical images while preserving patient identity. In our approach, the client protects the patient…
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images
Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin +1
This paper presents a client/server privacy-preserving network in the context of multicentric medical image analysis. Our approach is based on adversarial learning which encodes im…