Self-attention has gained remarkable success in sequence-based recognition tasks. In this project, we will explore the power of self-attention based deep learning, i.e., transformers, in medical imaging and analysis, e.g., super-resolution, restoration, classification, segmentation and registration, etc.
Students are expected to develop state-of-the-art methods and publish high-impact research papers.