Junjie Hu

According to our database, Junjie Hu authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation.

Chengrong Yu, Ying Song, Qiang Wang, Shengqian Zhu, Zhang Yi, Junjie Hu

Neurocomputing, 2024

Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy.

Junjie Hu, Chengrong Yu, Shengqian Zhu, Haixian Zhang

Int. J. Intell. Syst., 2024

Regularizing deep neural networks for medical image analysis with augmented batch normalization.

Shengqian Zhu, Chengrong Yu, Junjie Hu

Appl. Soft Comput., 2024

A multi-objective particle swarm optimization based on local ideal points.

Yu Zhang, Wang Hu, Wen Yao, Xinyue Li, Junjie Hu

Appl. Soft Comput., 2024

2023

Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation.

Junjie Hu, Chengrong Yu, Zhang Yi, Haixian Zhang

Int. J. Neural Syst., December, 2023

Self-supervised deep learning for joint 3D low-dose PET/CT image denoising.

Feixiang Zhao, Dongfen Li, Rui Luo, Mingzhe Liu, Xin Jiang, Junjie Hu

Comput. Biol. Medicine, October, 2023

2022

Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks.

Xiaofeng Qi, Junjie Hu, Lei Zhang, Sen Bai, Zhang Yi

IEEE Trans. Cybern., 2022

Segmentation for regions of interest in radiotherapy by self-supervised learning.

Chengrong Yu, Junjie Hu, Guiyuan Li, Shengqian Zhu, Sen Bai, Zhang Yi

Knowl. Based Syst., 2022

VMAT dose prediction in radiotherapy by using progressive refinement UNet.

Jianyong Wang, Junjie Hu, Ying Song, Qiang Wang, Xiaozhi Zhang, Sen Bai, Zhang Yi

Neurocomputing, 2022

Multi-view fusion segmentation for brain glioma on CT images.

Han Wang, Junjie Hu, Ying Song, Lei Zhang, Sen Bai, Zhang Yi

Appl. Intell., 2022

2021

Adaptive Multiobjective Particle Swarm Optimization Based on Evolutionary State Estimation.

Bolin Wu, Wang Hu, Junjie Hu, Gary G. Yen

IEEE Trans. Cybern., 2021

Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy.

Junjie Hu, Ying Song, Qiang Wang, Sen Bai, Zhang Yi

Medical Image Anal., 2021

Missed diagnoses detection by adversarial learning.

Xiaofeng Qi, Junjie Hu, Zhang Yi

Knowl. Based Syst., 2021

Multi-scale attention U-net for segmenting clinical target volume in graves' ophthalmopathy.

Junjie Hu, Ying Song, Lei Zhang, Sen Bai, Zhang Yi

Neurocomputing, 2021

2020

Multi-task learning for the segmentation of organs at risk with label dependence.

Tao He, Junjie Hu, Ying Song, Jixiang Guo, Zhang Yi

Medical Image Anal., 2020

Surrogate dropout: Learning optimal drop rate through proxy.

Junjie Hu, Yuanyuan Chen, Lei Zhang, Zhang Yi

Knowl. Based Syst., 2020

DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks.

Han Wang, Haixian Zhang, Junjie Hu, Ying Song, Sen Bai, Zhang Yi

Int. J. Intell. Syst., 2020

A Fast Particle Swarm Optimization Algorithm by Refining the Global Best Solution.

Wang Hu, Yu Zhang, Junjie Hu, Yan Qi, Guoming Lu

Proceedings of the APIT 2020: 2nd Asia Pacific Information Technology Conference, 2020

2019

Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks.

Junjie Hu, Yuanyuan Chen, Jie Zhong, Rong Ju, Zhang Yi

IEEE Trans. Medical Imaging, 2019

Automated segmentation of macular edema in OCT using deep neural networks.

Junjie Hu, Yuanyuan Chen, Zhang Yi

Medical Image Anal., 2019

Automated identification and grading system of diabetic retinopathy using deep neural networks.

Wei Zhang, Jie Zhong, Shijun Yang, Zhentao Gao, Junjie Hu, Yuanyuan Chen, Zhang Yi

Knowl. Based Syst., 2019