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G. Kaissis

Reconciling privacy and accuracy in AI for medical imaging.
Evaluation and mitigation of the limitations of large language models in clinical decision-making.
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art.
Federated electronic health records for the European Health Data Space.
Interactive and Explainable Region-guided Radiology Report Generation.
Differentially Private Graph Neural Networks for Whole-Graph Classification.
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.
Federated deep learning for detecting COVID-19 lung abnormalities in CT: A privacy-preserving multinational validation study.

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