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

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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

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

18 / 18 papers shown

Title
On the Importance of Conditioning for Privacy-Preserving Data Augmentation Julian Lorenz K. Ludwig Valentin Haug Rainer Lienhart DiffM 80 0 0 08 Apr 2025
Comparing representations of long clinical texts for the task of patient note-identification Safa Alsaidi Marc Vincent O. Boyer Nicolas Garcelon Miguel Couceiro Adrien Coulet 66 0 0 31 Mar 2025
Generative Medical Image Anonymization Based on Latent Code Projection and Optimization Huiyu Li N. Ayache H. Delingette MedIm 76 0 0 17 Jan 2025
Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification Mischa Dombrowski Hadrien Reynaud Bernhard Kainz DiffM 82 1 0 07 Nov 2024
Deep Generative Models for 3D Medical Image Synthesis Paul Friedrich Yannik Frisch P. Cattin 3DV MedIm 92 4 0 23 Oct 2024
De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy Moritz Rempe Lukas Heine C. Seibold Fabian Horst Jens Kleesiek MedIm 37 0 0 16 Oct 2024
Towards Case-based Interpretability for Medical Federated Learning Laura Latorre Liliana Petrychenko Regina Beets-Tan T. Kopytova Wilson Silva MedIm 40 0 0 24 Aug 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models Simha Sankar Baradwaj Destiny Gilliland Jack Rincon Henning Hermjakob Yu Yan ... Dean Wang Karol Watson Alex Bui Wei Wang Peipei Ping 91 6 0 18 Jul 2024
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing Hadrien Reynaud Qingjie Meng Mischa Dombrowski Arijit Ghosh Thomas Day Alberto Gomez Paul Leeson Bernhard Kainz MedIm 75 7 0 02 Jun 2024
Re-identification from histopathology images J. Ganz Jonas Ammeling Samir Jabari Katharina Breininger Marc Aubreville 67 1 0 19 Mar 2024
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 86 18 0 15 Nov 2023
Anonymizing medical case-based explanations through disentanglement Helena Montenegro Jaime S. Cardoso 50 9 0 08 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 97 1 0 06 Nov 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models Virginia Fernandez Pedro Sanchez W. H. Pinaya Grzegorz Jacenków Sotirios A. Tsaftaris Jorge Cardoso 82 19 0 02 Jun 2023
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis Tobias Weber Michael Ingrisch Bernd Bischl David Rügamer DiffM MedIm 61 28 0 20 Mar 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 130 24 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 109 64 0 02 Nov 2022
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy Kai Packhauser Sebastian Gündel Florian Thamm Felix Denzinger Andreas Maier 56 4 0 23 Sep 2022