余程嵘｜云南大学｜学者主页

2026

Cascaded neural memory ODEs for predicting fluence maps in rectal cancer IMRT

Xiangjie Tan, Ying Song, Qiang Wang, Chengrong Yu, Zhang Yi, Jun-Jie Hu

Pattern Recognition

DOI

2026

Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning

Chengrong Yu, Zhongliang Wei, Yun-Cheng Shen, Ying-Yong Yin, Zhang Yi, Ying Song, Guang-Jun Li, Jun-Jie Hu

International Journal of Neural Systems

DOI

2025

Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation

Sheng-Qian Zhu, Jia-Fei Wu, Xiao-Gang Xu, Chengrong Yu, Ying Song, Zhang Yi, Guang-Jun Li, Jun-Jie Hu

arXiv.org

DOI

2025

Visual prompt-driven universal model for medical image segmentation in radiotherapy

Sheng-Qian Zhu, Chengrong Yu, Zhang Yi, Jun-Jie Hu

Knowledge-Based Systems

DOI

2025

PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation

Sheng-Qian Zhu, Chengrong Yu, Wen-Bo Qi, Jia-Fei Wu, Ying Song, Guang-Jun Li, Zhang Yi, Xiao-Gang Xu, Jun-Jie Hu

ACM Multimedia

DOI

2025

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation

Sheng-Qian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guang-Jun Li, Jia-Fei Wu, Xiao-Gang Xu, Zhang Yi, Jun-Jie Hu

AAAI Conference on Artificial Intelligence

DOI

2024

基于人工智能的放射治疗关键技术研究

余程嵘

《四川大学》

2024

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

Sheng-Qian Zhu, Chengrong Yu, Jun-Jie Hu

Applied Soft Computing

DOI

2024

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

Jun-Jie Hu, Chengrong Yu, Sheng-Qian Zhu, Haixian Zhang

International Journal of Intelligent Systems

DOI

2024

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

Chengrong Yu, Ying Song, Qiang Wang, Sheng-Qian Zhu, Zhang Yi, Jun-Jie Hu

Neurocomputing

DOI

2023

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

Jun-Jie Hu, Chengrong Yu, Zhang Yi, Haixian Zhang

International Journal of Neural Systems

DOI

2023

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

Ying Song, Jun-Jie Hu, Qiang Wang, Chengrong Yu, J. Su, Lin Chen, Xiaorui Jiang, Bo Chen, Lei Zhang, Qian Yu, Ping Li, Feng Wang, S. Bai, Yongdong Luo, Zhang Yi

Clinical and Translational Radiation Oncology

DOI

2023

Enhanced Multi-Objective Evolutionary Framework for Fluence Map Optimization in Intensity-Modulated Radiation Therapy

Yuan Yao, Chengrong Yu, Junjie Hu, Yan Zhang

2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)

DOI

2022

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

Chengrong Yu, Jun-Jie Hu, Guiyuan Li, Shengqian Zhu, S. Bai, Zhang Yi

Knowledge-Based Systems

DOI

余程嵘

精选作品

期刊论文

Cascaded neural memory ODEs for predicting fluence maps in rectal cancer IMRT

Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning

Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation

Visual prompt-driven universal model for medical image segmentation in radiotherapy

PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation

基于人工智能的放射治疗关键技术研究

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

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

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

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

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

Enhanced Multi-Objective Evolutionary Framework for Fluence Map Optimization in Intensity-Modulated Radiation Therapy

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

研究方向