Publications

Journal Publications

2024

• Yu, Chengrong, Ying Song, Qiang Wang, Shengqian Zhu, Zhang Yi, and Junjie Hu. “Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation.” Neurocomputing 610 (2024): 128573.
• Zhu, Shengqian, Chengrong Yu, and Junjie Hu. “Regularizing deep neural networks for medical image analysis with augmented batch normalization.” Applied Soft Computing 154 (2024): 111337.
• Junjie Hu, Chengrong Yu, Shengqian Zhu, and Haixian Zhang. “Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy.” International Journal of Intelligent Systems 2024, no. 1 (2024): 1728801.
• Niu, Hao, Yuxiang Zhou, Xiaohao Yan, Jun Wu, Yuncheng Shen, Zhang Yi, and Junjie Hu. “On the applications of neural ordinary differential equations in medical image analysis.” Artificial Intelligence Review 57, no. 9 (2024): 236.

2023

• Junjie Hu, Chengrong Yu, Zhang Yi, and Haixian Zhang. “Enhancing robustness of medical image segmentation model with neural memory ordinary differential equation.” International Journal of Neural Systems 33, no. 12 (2023): 2350060.
• Song, Ying, Junjie Hu, Zhang Yi, et al. “Young oncologists benefit more than experts from deep learning-based organs-at-risk contouring modeling in nasopharyngeal carcinoma radiotherapy: A multi-institution clinical study exploring working experience and institute group style factor.” Clinical and Translational Radiation Oncology 41 (2023).

2022

• Wang, Jianyong, Junjie Hu, Ying Song, Qiang Wang, Xiaozhi Zhang, Sen Bai, and Zhang Yi. “VMAT dose prediction in radiotherapy by using progressive refinement UNet.” Neurocomputing 488 (2022): 528-539.
• Wang, Han, Junjie Hu, Ying Song, Lei Zhang, Sen Bai, and Zhang Yi. “Multi-view fusion segmentation for brain glioma on CT images.” Applied Intelligence (2022): 1-15.

2021

• Qi, Xiaofeng, Junjie Hu, and Zhang Yi. “Missed diagnoses detection by adversarial learning.” Knowledge-Based Systems 220 (2021): 106903.
• Xu, Lei, Junjie Hu, Ying Song, Sen Bai, and Zhang Yi. “Clinical target volume segmentation for stomach cancer by stochastic width deep neural network.” Medical Physics 48, no. 4 (2021): 1720-1730.
• Junjie, Hu, Ying Song, Lei Zhang, Sen Bai, and Zhang Yi. “Multi-scale attention U-net for segmenting clinical target volume in graves’ ophthalmopathy.” Neurocomputing 427 (2021): 74-83.
• Junjie, Hu, Ying Song, Qiang Wang, Sen Bai, and Zhang Yi. “Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy.” Medical Image Analysis 67 (2021): 101886.

2020

• Wang, Han, Haixian Zhang, Junjie Hu, Ying Song, Sen Bai, and Zhang Yi. “DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks.” International Journal of Intelligent Systems 35, no. 12 (2020): 1987-2008.
• Junjie, Hu, Yuanyuan Chen, Lei Zhang, and Zhang Yi. “Surrogate dropout: Learning optimal drop rate through proxy.” Knowledge-Based Systems 206 (2020): 106340.
• Qi, Xiaofeng, Junjie Hu, Lei Zhang, Sen Bai, and Zhang Yi. “Automated segmentation of the clinical target volume in the planning CT for breast cancer using deep neural networks.” IEEE Transactions on Cybernetics 52, no. 5 (2020): 3446-3456.
• Song, Ying, Junjie Hu, Yang Liu, Haiyun Hu, Yang Huang, Sen Bai, and Zhang Yi. “Dose prediction using a deep neural network for accelerated planning of rectal cancer radiotherapy.” Radiotherapy and Oncology 149 (2020): 111-116.
• Song, Ying, Junjie Hu, Qiang Wu, Feng Xu, Shihong Nie, Yaqin Zhao, Sen Bai, and Zhang Yi. “Automatic delineation of the clinical target volume and organs at risk by deep learning for rectal cancer postoperative radiotherapy.” Radiotherapy and Oncology 145 (2020): 186-192.
• He, Tao, Junjie Hu, Ying Song, Jixiang Guo, and Zhang Yi. “Multi-task learning for the segmentation of organs at risk with label dependence.” Medical Image Analysis 61 (2020): 101666.
• Hu, Wang, Yu Zhang, Junjie Hu, Yan Qi, and Guoming Lu. “A Fast Particle Swarm Optimization Algorithm by Refining the Global Best Solution.” In Proceedings of the 2020 2nd Asia Pacific Information Technology Conference, pp. 128-135. 2020.

2019

• Wu, Bolin, Wang Hu, Junjie Hu, and Gary G. Yen. “Adaptive multiobjective particle swarm optimization based on evolutionary state estimation.” IEEE Transactions on Cybernetics 51, no. 7 (2019): 3738-3751.
• Huang, Yueyao, and Junjie Hu. “Residual neural network based classification of macular edema in oct.” In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), pp. 736-743. IEEE, 2019.
• Zhang, Wei, Jie Zhong, Shijun Yang, Zhentao Gao, Junjie Hu, Yuanyuan Chen, and Zhang Yi. “Automated identification and grading system of diabetic retinopathy using deep neural networks.” Knowledge-Based Systems 175 (2019): 12-25.
• Junjie, Hu, Yuanyuan Chen, and Zhang Yi. “Automated segmentation of macular edema in OCT using deep neural networks.” Medical image analysis 55 (2019): 216-227.

2018

• Wang, Jianyong, Rong Ju, Yuanyuan Chen, Lei Zhang, Junjie Hu, Yu Wu, Wentao Dong, Jie Zhong, and Zhang Yi. “Automated retinopathy of prematurity screening using deep neural networks.” EBioMedicine 35 (2018): 361-368.
• Junjie, Hu, Yuanyuan Chen, Jie Zhong, Rong Ju, and Zhang Yi. “Automated analysis for retinopathy of prematurity by deep neural networks.” IEEE transactions on medical imaging 38, no. 1 (2018): 269-279.

Conference Publications

2025