Automated identification and grading system of diabetic retinopathy using deep neural networks. - Wei Zhang; Jie Zhong; Shijun Yang; Zhentao Gao; Junjie Hu 004; Yuanyuan Chen; Zhang Yi 001 (Knowl. Based Syst., 2019)

Automated segmentation of macular edema in OCT using deep neural networks. - Junjie Hu 004; Yuanyuan Chen; Zhang Yi 001 (Medical Image Anal., 2019)

Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks. - Junjie Hu 004; Yuanyuan Chen; Jie Zhong; Rong Ju; Zhang Yi 001 (IEEE Trans. Medical Imaging, 2019)

A Fast Particle Swarm Optimization Algorithm by Refining the Global Best Solution. - Wang Hu 001; Yu Zhang 191; Junjie Hu 004; Yan Qi; Guoming Lu (APIT, 2020)

DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks. - Han Wang 025; Haixian Zhang; Junjie Hu 004; Ying Song; Sen Bai; Zhang Yi 001 (Int. J. Intell. Syst., 2020)

Surrogate dropout: Learning optimal drop rate through proxy. - Junjie Hu 004; Yuanyuan Chen; Lei Zhang 005; Zhang Yi 001 (Knowl. Based Syst., 2020)

Multi-task learning for the segmentation of organs at risk with label dependence. - Tao He; Junjie Hu 004; Ying Song; Jixiang Guo; Zhang Yi 001 (Medical Image Anal., 2020)

Multi-scale attention U-net for segmenting clinical target volume in graves' ophthalmopathy. - Junjie Hu 004; Ying Song; Lei Zhang 005; Sen Bai; Zhang Yi 001 (Neurocomputing, 2021)

Missed diagnoses detection by adversarial learning. - Xiaofeng Qi; Junjie Hu 004; Zhang Yi 001 (Knowl. Based Syst., 2021)

Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy. - Junjie Hu 004; Ying Song; Qiang Wang; Sen Bai; Zhang Yi 001 (Medical Image Anal., 2021)

Adaptive Multiobjective Particle Swarm Optimization Based on Evolutionary State Estimation. - Bolin Wu; Wang Hu 001; Junjie Hu 004; Gary G. Yen (IEEE Trans. Cybern., 2021)

Multi-view fusion segmentation for brain glioma on CT images. - Han Wang 025; Junjie Hu 004; Ying Song; Lei Zhang 005; Sen Bai; Zhang Yi 001 (Appl. Intell., 2022)

VMAT dose prediction in radiotherapy by using progressive refinement UNet. - Jianyong Wang 002; Junjie Hu 004; Ying Song; Qiang Wang; Xiaozhi Zhang; Sen Bai; Zhang Yi 001 (Neurocomputing, 2022)

Segmentation for regions of interest in radiotherapy by self-supervised learning. - Chengrong Yu; Junjie Hu 004; Guiyuan Li; Shengqian Zhu; Sen Bai; Zhang Yi 001 (Knowl. Based Syst., 2022)

Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks. - Xiaofeng Qi; Junjie Hu 004; Lei Zhang 005; Sen Bai; Zhang Yi 001 (IEEE Trans. Cybern., 2022)

Self-supervised deep learning for joint 3D low-dose PET/CT image denoising. - Feixiang Zhao; Dongfen Li; Rui Luo; Mingzhe Liu 001; Xin Jiang 006; Junjie Hu 004 (Comput. Biol. Medicine, 2023)

Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation. - Junjie Hu 004; Chengrong Yu; Zhang Yi 001; Haixian Zhang (Int. J. Neural Syst., 2023)

A multi-objective particle swarm optimization based on local ideal points. - Yu Zhang 191; Wang Hu 001; Wen Yao; Xinyue Li 003; Junjie Hu 004 (Appl. Soft Comput., 2024)

Regularizing deep neural networks for medical image analysis with augmented batch normalization. - Shengqian Zhu; Chengrong Yu; Junjie Hu 004 (Appl. Soft Comput., 2024)

Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy. - Junjie Hu 004; Chengrong Yu; Shengqian Zhu; Haixian Zhang (Int. J. Intell. Syst., 2024)

Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation. - Chengrong Yu; Ying Song; Qiang Wang; Shengqian Zhu; Zhang Yi 001; Junjie Hu 004 (Neurocomputing, 2024)

Visual prompt-driven universal model for medical image segmentation in radiotherapy. - Shengqian Zhu; Chengrong Yu; Zhang Yi 001; Junjie Hu 004 (Knowl. Based Syst., 2025)