Constructing a Computer Model of the Human Eye Based on Tissue Slice Images. - Peishan Dai; Boliang Wang; Chunbo Bao; Ying Ju (Int. J. Biomed. Imaging, 2010)

Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing. - Peishan Dai; Hanwei Sheng; Jianmei Zhang; Ling Li 004; Jing Wu 005; Min Fan (Int. J. Biomed. Imaging, 2016)

Automatic segmentation for cell images based on bottleneck detection and ellipse fitting. - Miao Liao; Yu-qian Zhao; Xiang-hua Li; Peishan Dai; Xiao-wen Xu; Jun-kai Zhang; Beiji Zou 001 (Neurocomputing, 2016)

DN-GAN: Denoising generative adversarial networks for speckle noise reduction in optical coherence tomography images. - Zailiang Chen 001; Ziyang Zeng; Hailan Shen; Xianxian Zheng; Peishan Dai; Ping-Bo Ouyang (Biomed. Signal Process. Control., 2020)

Marginal samples for knowledge distillation. - Zailiang Chen 001; Xianxian Zheng; Hailan Shen; Jinghao Zhang; Peishan Dai; Rongchang Zhao (Neurocomputing, 2022)

AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation. - Yang Li 111; Beiji Zou 001; Peishan Dai; Miao Liao; Harrison X. Bai; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2023)

Deep learning models for ischemic stroke lesion segmentation in medical images: A survey. - Jialin Luo; Peishan Dai; Zhuang He; Zhongchao Huang; Shenghui Liao; Kun Liu (Comput. Biol. Medicine, 2024)

Classification of recurrent major depressive disorder using a residual denoising autoencoder framework: Insights from large-scale multisite fMRI data. - Peishan Dai; Yun Shi; Da Lu; Ying Zhou; Jialin Luo; Zhuang He; Zailiang Chen 001; Beiji Zou 001; Hui Tang; Zhongchao Huang; Shenghui Liao (Comput. Methods Programs Biomed., 2024)

Deep learning-based magnetic resonance image super-resolution: a survey. - Zexin Ji; Beiji Zou 001; Xiaoyan Kui; Jun Liu 075; Wei Zhao 040; Chengzhang Zhu; Peishan Dai; Yulan Dai (Neural Comput. Appl., 2024)