F. Di Salvo, S. Doerrich, I. Rieger, C. Ledig, “An Embedding is Worth a Thousand Noisy Labels”, Transactions on Machine Learning Research, 2025. [pdf][bib](302.0 B)[code]

S. Doerrich, F. Di Salvo, J. Brockmann, C. Ledig, “Rethinking model prototyping through the MedMNIST+ dataset collection”, Scientific Reports, 15, 7669, 2025. [doi][pdf][bib](2.3 KB)[code]

A. Kucerenko, T. Buddenkotte, I. Apostolova, S. Klutmann, C. Ledig, R. Buchert, "Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT", European Journal of Nuclear Medicine and Molecular Imaging, 2024. [doi][code]

F. Di Salvo, D. Tafler, S. Doerrich, C. Ledig, "Privacy-preserving datasets by capturing feature distributions with Conditional VAEs", BMVC, 2024. [pdf][bib](407.0 B)[code]

S. Doerrich, F. Di Salvo, C. Ledig, "Self-supervised Vision Transformer are