Junjie Hu - RankMe

30 papers A* 2Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing depression detection in audio through innovative semi-supervised learning technology. Knowl. Based Syst. Yixuan Liu, Xiang Li, Yuxin Cai, Jiajun Xu, Junjie Hu, Zhang Yi, Yuanyuan Chen
2026	J	`jnl`	Cascaded neural memory ODEs for predicting fluence maps in rectal cancer IMRT. Pattern Recognit. Xiangjie Tan, Ying Song, Qiang Wang, Chengrong Yu, Zhang Yi, Junjie Hu
2026	A*	`conf`	Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation. AAAI Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu
2026	J	`jnl`	Encoder-driven dynamically sampling NAS for key region re-identification in re-shot welding radiographs retrieval. Appl. Soft Comput. Kezhen Lin, Yu Zhang, Wang Hu, Heng Wang, Junjie Hu
2026	J	`jnl`	Rethinking Propagation Methods for Interactive Medical Image Segmentation. IEEE J. Biomed. Health Informatics Shengqian Zhu, Yuncheng Shen, Yingyong Yin, Ying Song, Zhang Yi, Guangjun Li, Junjie Hu
2025	J	`jnl`	Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation. CoRR Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu
2025	J	`jnl`	Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation. CoRR Shengqian Zhu, Jiafei Wu, Xiaogang Xu, Chengrong Yu, Ying Song, Zhang Yi, Guangjun Li, Junjie Hu
2025	A*	`conf`	PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation. ACM Multimedia Shengqian Zhu, Chengrong Yu, Wenbo Qi, Jiafei Wu, Ying Song, Guangjun Li, Zhang Yi, Xiaogang Xu, Junjie Hu
2025	J	`jnl`	Visual prompt-driven universal model for medical image segmentation in radiotherapy. Knowl. Based Syst. Shengqian Zhu, Chengrong Yu, Zhang Yi, Junjie Hu
2024	J	`jnl`	A multi-objective particle swarm optimization based on local ideal points. Appl. Soft Comput. Yu Zhang, Wang Hu, Wen Yao, Xinyue Li, Junjie Hu
2024	J	`jnl`	Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy. Int. J. Intell. Syst. Junjie Hu, Chengrong Yu, Shengqian Zhu, Haixian Zhang
2024	J	`jnl`	Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation. Neurocomputing Chengrong Yu, Ying Song, Qiang Wang, Shengqian Zhu, Zhang Yi, Junjie Hu
2024	J	`jnl`	Regularizing deep neural networks for medical image analysis with augmented batch normalization. Appl. Soft Comput. Shengqian Zhu, Chengrong Yu, Junjie Hu
2023	J	`jnl`	Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation. Int. J. Neural Syst. Junjie Hu, Chengrong Yu, Zhang Yi, Haixian Zhang
2023	J	`jnl`	Self-supervised deep learning for joint 3D low-dose PET/CT image denoising. Comput. Biol. Medicine Feixiang Zhao, Dongfen Li, Rui Luo, Mingzhe Liu, Xin Jiang, Junjie Hu
2022	J	`jnl`	Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks. IEEE Trans. Cybern. Xiaofeng Qi, Junjie Hu, Lei Zhang, Sen Bai, Zhang Yi
2022	J	`jnl`	Multi-view fusion segmentation for brain glioma on CT images. Appl. Intell. Han Wang, Junjie Hu, Ying Song, Lei Zhang, Sen Bai, Zhang Yi
2022	J	`jnl`	Segmentation for regions of interest in radiotherapy by self-supervised learning. Knowl. Based Syst. Chengrong Yu, Junjie Hu, Guiyuan Li, Shengqian Zhu, Sen Bai, Zhang Yi
2022	J	`jnl`	VMAT dose prediction in radiotherapy by using progressive refinement UNet. Neurocomputing Jianyong Wang, Junjie Hu, Ying Song, Qiang Wang, Xiaozhi Zhang, Sen Bai, Zhang Yi
2021	J	`jnl`	Adaptive Multiobjective Particle Swarm Optimization Based on Evolutionary State Estimation. IEEE Trans. Cybern. Bolin Wu, Wang Hu, Junjie Hu, Gary G. Yen
2021	J	`jnl`	Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy. Medical Image Anal. Junjie Hu, Ying Song, Qiang Wang, Sen Bai, Zhang Yi
2021	J	`jnl`	Missed diagnoses detection by adversarial learning. Knowl. Based Syst. Xiaofeng Qi, Junjie Hu, Zhang Yi
2021	J	`jnl`	Multi-scale attention U-net for segmenting clinical target volume in graves' ophthalmopathy. Neurocomputing Junjie Hu, Ying Song, Lei Zhang, Sen Bai, Zhang Yi
2020	—	`conf`	A Fast Particle Swarm Optimization Algorithm by Refining the Global Best Solution. APIT Wang Hu, Yu Zhang, Junjie Hu, Yan Qi, Guoming Lu
2020	J	`jnl`	DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks. Int. J. Intell. Syst. Han Wang, Haixian Zhang, Junjie Hu, Ying Song, Sen Bai, Zhang Yi
2020	J	`jnl`	Multi-task learning for the segmentation of organs at risk with label dependence. Medical Image Anal. Tao He, Junjie Hu, Ying Song, Jixiang Guo, Zhang Yi
2020	J	`jnl`	Surrogate dropout: Learning optimal drop rate through proxy. Knowl. Based Syst. Junjie Hu, Yuanyuan Chen, Lei Zhang, Zhang Yi
2019	J	`jnl`	Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks. IEEE Trans. Medical Imaging Junjie Hu, Yuanyuan Chen, Jie Zhong, Rong Ju, Zhang Yi
2019	J	`jnl`	Automated identification and grading system of diabetic retinopathy using deep neural networks. Knowl. Based Syst. Wei Zhang, Jie Zhong, Shijun Yang, Zhentao Gao, Junjie Hu, Yuanyuan Chen, Zhang Yi
2019	J	`jnl`	Automated segmentation of macular edema in OCT using deep neural networks. Medical Image Anal. Junjie Hu, Yuanyuan Chen, Zhang Yi