2 papers
cs.CV2026
Diffusion Models in Medical Image Inpainting: Challenges, Solution Taxonomy, and Future Directions
Arthur Dantas Mangussi, Joana Cristo Santos, Ricardo Cardoso Pereira +3
Image inpainting aims to reconstruct missing or corrupted regions of an image while preserving as much as possible, visual and semantic consistency. In medical imaging, this task i…
cs.LG2026
Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena +1
Data imputation is a cornerstone technique for handling missing values in real-world datasets, which are often plagued by missingness. Despite recent progress, prior studies on Lar…