Showing 2025Show all
2 papers · 1 filter
eess.IV2025
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
Ethan Dack, Lorenzo Brigato, Vasilis Dedousis +9
Masked autoencoders (MAEs) have emerged as a powerful approach for pre-training on unlabelled data, capable of learning robust and informative feature representations. This is part…
cs.CV2025
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays
Ethan Dack, Chengliang Dai
Recent works have revisited the infamous task ``Name That Dataset'', demonstrating that non-medical datasets contain underlying biases and that the dataset origin task can be solve…