Audio-driven talking head generation presents significant challenges in creating realistic facial animations that accurately synchronize with audio signals. This paper introduces ATL-Diff, a novel approach that addresses key limitations in existing methods through an innovative three-component framework.

3D Dual-Domain Attention for Brain Tumor Segmentaion is a method which develope based on Attention mechanims with key idea is using a path-of-net to extract information about global of context, other one learning information about local of context.

My graduate thesis in HUFLIT: Brain Tumor Detection using Deep Learning

3D Brain Tumor Segmentaion using method 3D-Dual Fusion Attention base on Fusion method, Attention mechanism, and Residual learning.