Dr Shuang Song received her B.Sc. and Ph. D. in Computer Vision from Beijing Institute of Technology, China in 2019. Her previous research work concentrates on motion analysis of coronary artery and background subtraction of X-ray angiographic sequences using sparse and low-rank decomposition model. In January 2020 she joined the Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) at the University of Leeds, UK as the post-doc research fellow under the supervision of Dr Ali Gooya and Prof. Alejandro Frangi. Her current research develops models of deep learning that aims to realize the detection and prediction of brain tumour.
Research Interests Pattern recognition and deep learning, medical image analysis.