Deep Learning-based Patient Re-identification Is able to Exploit the
Biometric Nature of Medical Chest X-ray Data

Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data

15 March 2021

Sebastian Gündel

Nicolas Münster

Christopher Syben

Vincent Christlein

Papers citing "Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data"

4 / 4 papers shown

Title
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research Bardia Khosravi Frank Li Theo Dapamede Pouria Rouzrokh Cooper Gamble ... C. Wyles Andrew B. Sellergren S. Purkayastha Bradley J. Erickson J. Gichoya MedIm 36 17 0 15 Nov 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 37 17 0 03 Feb 2023
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems Kai Packhauser Lukas Folle Florian Thamm Andreas Maier DiffM MedIm 24 61 0 02 Nov 2022
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,709 0 18 Mar 2020