Francesco Di Salvo
According to our database1,
Francesco Di Salvo
authored at least 8 papers
between 2023 and 2024.
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Bibliography
2024
Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations.
CoRR, 2024
Privacy-preserving datasets by capturing feature distributions with Conditional VAEs.
CoRR, 2024
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions.
CoRR, 2024
Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023