unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. - Sebastian Doerrich; Francesco Di Salvo; Christian Ledig (MLMI@MICCAI (1), 2023)

Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations. - Sebastian Doerrich; Francesco Di Salvo; Christian Ledig (BMVC Workshops, 2024)

Privacy-preserving datasets by capturing feature distributions with Conditional VAEs. - Francesco Di Salvo; David Tafler; Sebastian Doerrich; Christian Ledig (BMVC, 2024)

Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification. - Sebastian Doerrich; Tobias Archut; Francesco Di Salvo; Christian Ledig (ISBI, 2024)

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization. - Sebastian Doerrich; Francesco Di Salvo; Christian Ledig (MICCAI (10), 2024)

Rethinking Model Prototyping through the MedMNIST+ Dataset Collection. - Sebastian Doerrich; Francesco Di Salvo; Julius Brockmann; Christian Ledig (CoRR, 2024)

MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions. - Francesco Di Salvo; Sebastian Doerrich; Christian Ledig (CoRR, 2024)

An Embedding is Worth a Thousand Noisy Labels. - Francesco Di Salvo; Sebastian Doerrich; Ines Rieger; Christian Ledig (Trans. Mach. Learn. Res., 2025)

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs. - Francesco Di Salvo; Hanh Huyen My Nguyen; Christian Ledig (CoRR, 2025)