Wenqi Huang is a Ph.D. student at the Institutes of Radiology and Artificial Intelligence and Informatics in Medicine at the Technical University of Munich (TUM). He received his Master’s degree in Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences (CAS), Shenzhen, China, under the supervision of Prof. Dong Liang. His previous research focused on combining low-rankness and sparsity with deep learning to improve the reconstruction quality of dynamic magnetic resonance imaging. His research interests include deep learning methods in magnetic resonance imaging, image reconstruction and medical image processing.