Papers matching “privacy-preserving training” 27
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A Privacy-Preserving Distributed Analytics Platform for Health Care Data2022 Methods of Information in Medicine article Computer Science Privacy-Preserving Technologies in Data Open access
Sascha Welten, Yongli Mou, Laurenz Neumann, Mehrshad Jaberansary, Yeliz Yediel Ucer, Toralf Kirsten, +2 more
41citations -
Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access
Şeyma Selcan Mağara, Esther Havemann, Debora Jutz, Ali Burak Ünal, Mete Akgün
0citations -
Privacy-preserving dataset combination and Lasso regression for healthcare predictions2021 BMC Medical Informatics and Decision Making article Computer Science Privacy-Preserving Technologies in Data Open access
Marie Beth van Egmond, Gabriele Spini, Onno van der Galiën, Arne S. IJpma, Thijs Veugen, Wessel Kraaij, +6 more
50citations -
The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access
Soroosh Tayebi Arasteh, Mina Farajiamiri, Mahshad Lotfinia, Behrus Puladi, Jonas Bienzeisler, Mohamed Alhaskir, +4 more
0citations -
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging2024 Communications Medicine article Computer Science Privacy-Preserving Technologies in Data Open access
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Katharina Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, +3 more
52citations -
PASTA-4-PHT: a pipeline for automated security and technical audits for the personal health train2026 BMC Medical Informatics and Decision Making article Computer Science Security and Verification in Computing Open access
Sascha Welten, Ahmet Polat, Martin Görz, Maximilian Jugl, Laurenz Neumann, Johannes Lohmöller, +2 more
0citations -
Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs2023 Radiology Artificial Intelligence article Computer Science Privacy-Preserving Technologies in Data Open access
Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte, Marwin-Jonathan Sähn, Peter Isfort, Christiane Katharina Kuhl, +3 more
19citations -
Training of AI Models Beyond the Local Dataset Using Federated Learning with 695,000 Non-Identically-Labeled Chest Radiographs2023 RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren article Computer Science Privacy-Preserving Technologies in Data
Soroosh Tayebi Arasteh, Peter Isfort, Marwin-Jonathan Sähn, Christiane Katharina Kuhl, Daniel Truhn, Sven Nebelung
0citations -
Collaborative training of medical artificial intelligence models with non-uniform labels2023 Scientific Reports article Computer Science Privacy-Preserving Technologies in Data Open access
Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, Gustav Mueller-Franzes, Firas Khader, Jakob Nikolas Kather, +3 more
25citations -
Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations2025 European Journal of Radiology Artificial Intelligence article Computer Science Privacy-Preserving Technologies in Data Open access
Mahshad Lotfinia, Arash Tayebiarasteh, Mehdi Joodaki, Soroosh Tayebi Arasteh
9citations -
The FAIR journey of a patient-driven registry: Reflections and practical solutions from the Duchenne Data Platform FAIRification experience2025 Journal of Neuromuscular Diseases article Computer Science Research Data Management Practices Open access
Nawel Lalout, Mark D. Wilkinson, Dagmar Wandrei, Adrian Tassoni, António Atalaia, Alberto Cámara Ballesteros, +11 more
1citations