SK-Unet: An Improved U-Net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR. - Xiyue Wang; Sen Yang 006; Mingxuan Tang; Yunpeng Wei; Xiao Han 011; Ling He; Jing Zhang 051 (STACOM@MICCAI, 2019)

DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation. - Xiaojie Li 001; Mingxuan Tang; Feng Guo; Yuanxi Li; Kunlin Cao; Qi Song 001; Xi Wu 004; Shanhui Sun; Jiliu Zhou (IET Image Process., 2022)

Saliency-Guided Sparse Low-Rank Tensor Approximation for Unsupervised Anomaly Detection of Hyperspectral Remote Sensing Images. - Zhiguo Du; Lian Yang; Mingxuan Tang (J. Circuits Syst. Comput., 2024)