2 papers
cs.CV2026
Residual Diffusion Implicit Models
João Guerreiro, Pedro Tomás, Helena Aidos +1
Diffusion models achieve state-of-the-art results across multiple tasks. However, in inverse problems, standard initialization from pure Gaussian noise misaligns the generative pro…
cs.CV2024
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation
Hugo Figueiras, Helena Aidos, Nuno Cruz Garcia
Self-supervised learning has proven to be an effective way to learn representations in domains where annotated labels are scarce, such as medical imaging. A widely adopted framewor…