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eess.IV2025
Structure-Preserving Medical Image Generation from a Latent Graph Representation
Kevin Arias, Edwin Vargas, Kumar Vijay Mishra +2
Supervised learning techniques have proven their efficacy in many applications with abundant data. However, applying these methods to medical imaging is challenging due to the scar…
eess.IV2023
Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma
Karen Sanchez, Carlos Hinojosa, Kevin Arias +4
Data augmentation is classically used to improve the overall performance of deep learning models. It is, however, challenging in the case of medical applications, and in particular…