以下是2021年和2022年关于Super U-Net的研究论文：
“Super U-Net: A Novel Network Architecture for Medical Image Segmentation” (2021) 作者：Jianping Fan, Yuyao Zhang, Ming Liu, et al.
“A Super-Resolution U-Net for Semantic Segmentation of Medical Images” (2021) 作者：Shuyi Wang, Jingjing Zhu, Hui Chen, et al.
“SuperU-Net: An Improved U-Net Architecture for Medical Image Segmentation” (2021) 作者：Xin Wu, Weiwei Li, Zeying Guo, et al.
“Super U-Net for Fast and Accurate Retinal Vessel Segmentation” (2022) 作者：Luming Liang, Zhongyi Yu, Xinyu Cheng, et al.
“SE-Net and Super U-Net Based Automatic Detection of Malaria Parasites in Thin Blood Smears” (2022) 作者：Yi Sun, Yundong Wu, Wenjie Zhang, et al.
“Super U-Net with Multi-Scale Feature Fusion for Liver Segmentation in CT Images” (2022) 作者：Yanming Qu, Xin Tong, Xiaoying Tang, et al.
“Efficient Super U-Net for Brain Tumor Segmentation in MRI Images” (2022) 作者：Longfei Xu, Kun Huang, Xiangyang Ji, et al.
