Peishan Dai

According to our database, Peishan Dai authored at least 9 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep learning-based magnetic resonance image super-resolution: a survey.

Zexin Ji, Beiji Zou, Xiaoyan Kui, Jun Liu, Wei Zhao, Chengzhang Zhu, Peishan Dai, Yulan Dai

Neural Comput. Appl., July, 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, Beiji Zou, Hui Tang, Zhongchao Huang, Shenghui Liao

Comput. Methods Programs Biomed., 2024

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

2023

AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation.

Yang Li, Beiji Zou, Peishan Dai, Miao Liao, Harrison X. Bai, Zhicheng Jiao

IEEE J. Biomed. Health Informatics, August, 2023

2022

Marginal samples for knowledge distillation.

Zailiang Chen, Xianxian Zheng, Hailan Shen, Jinghao Zhang, Peishan Dai, Rongchang Zhao

Neurocomputing, 2022

2020

DN-GAN: Denoising generative adversarial networks for speckle noise reduction in optical coherence tomography images.

Zailiang Chen, Ziyang Zeng, Hailan Shen, Xianxian Zheng, Peishan Dai, Ping-Bo Ouyang

Biomed. Signal Process. Control., 2020

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

Neurocomputing, 2016

Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing.

Peishan Dai, Hanwei Sheng, Jianmei Zhang, Ling Li, Jing Wu, Min Fan

Int. J. Biomed. Imaging, 2016

2010

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