Professor | 程胜华 | 数字化转型顾问

Name	程胜华
Contact Information	905806158@qq.com
Language ability	中文, 英文
Province	广东

Name

程胜华

Contact Information

905806158@qq.com

Language ability

中文, 英文

Province

广东

University/Lab Affiliation and Title	南方医科大学
Faculty	Biomedical Engineering
Academic Background & Achievements	2007.9-2011.6 学士: 武汉理工大学, 统计学 2013.9-2020.6 博士: 华中科技大学, 生物医学光子学, 导师: 曾绍群教授
Work Experience	2020.8-2023.3 - 华中科技大学 - 博士后 2023.3-至今 - 南方医科大学 - 教授

University/Lab Affiliation and Title

南方医科大学

Faculty

Biomedical Engineering

Academic Background & Achievements

2007.9-2011.6 学士: 武汉理工大学, 统计学
2013.9-2020.6 博士: 华中科技大学, 生物医学光子学, 导师: 曾绍群教授

Work Experience

2020.8-2023.3 - 华中科技大学 - 博士后
2023.3-至今 - 南方医科大学 - 教授

Areas of Focus	生物医学图像处理与识别宫颈癌辅助筛查系统开发
Publications	Robust whole slide image analysis for cervical cancer screening using deep learning., S. H. Cheng, S. B. Liu, J. Y. Yu, G. Rao, Y. W. Xiao, W. Han, W. J. Zhu, X. H. Lv, N. Li, J. Cai, Z. H. Wang, X. Feng, F. Yang, X. B. Geng, J. B. Ma, X. Li, Z. Q. Wei, X. Y. Zhang, T. W. Quan, S. Q. Zeng, L. Chen, J. B. Hu, X. L. Liu, 2021 STSRNet: Self-Texture Transfer Super-Resolution and Refocusing Network., J. B. Ma, S. B. Liu, S. H. Cheng, R. X. Chen, X. L. Liu, L. Chen, S. Q. Zeng, 2021 Cervical cytopathology image refocusing via multi-scale attention features and domain normalization., X. B. Geng, X. L. Liu, S. H. Cheng, S. Q. Zeng, 2022 PathSRGAN: multi-supervised super-resolution for cytopathological images using generative adversarial network., J. B. Ma, J. Y. Yu, S. B. Liu, L. Chen, X. Li, J. Feng, Z. X. Chen, S. Q. Zeng, X. L. Liu, S. H. Cheng, 2020 DeepBouton: automated identification of single-neuron axonal Boutons at the brain-wide scale., S. H. Cheng, X. J. Wang, Y. R. Liu, L. Su, T. W. Quan, N. Li, F. F. Yin, F. Xiong, X. M. Liu, Q. M. Luo, H. Gong, S. Q. Zeng, 2019 An unsupervised style normalization method for cytopathology images., X. H. Chen, J. Y. Yu, S. H. Cheng, X. B. Geng, S. B. Liu, W. Han, J. B. Hu, L. Chen, X. L. Liu, S. Q. Zeng, 2021 Large-scale localization of touching somas from 3D images using density-peak clustering., S. H. Cheng, T. W. Quan, X. M. Liu, S. Q. Zeng, 2016

Areas of Focus

生物医学图像处理与识别
宫颈癌辅助筛查系统开发

Publications

Robust whole slide image analysis for cervical cancer screening using deep learning., S. H. Cheng, S. B. Liu, J. Y. Yu, G. Rao, Y. W. Xiao, W. Han, W. J. Zhu, X. H. Lv, N. Li, J. Cai, Z. H. Wang, X. Feng, F. Yang, X. B. Geng, J. B. Ma, X. Li, Z. Q. Wei, X. Y. Zhang, T. W. Quan, S. Q. Zeng, L. Chen, J. B. Hu, X. L. Liu, 2021
STSRNet: Self-Texture Transfer Super-Resolution and Refocusing Network., J. B. Ma, S. B. Liu, S. H. Cheng, R. X. Chen, X. L. Liu, L. Chen, S. Q. Zeng, 2021
Cervical cytopathology image refocusing via multi-scale attention features and domain normalization., X. B. Geng, X. L. Liu, S. H. Cheng, S. Q. Zeng, 2022
PathSRGAN: multi-supervised super-resolution for cytopathological images using generative adversarial network., J. B. Ma, J. Y. Yu, S. B. Liu, L. Chen, X. Li, J. Feng, Z. X. Chen, S. Q. Zeng, X. L. Liu, S. H. Cheng, 2020
DeepBouton: automated identification of single-neuron axonal Boutons at the brain-wide scale., S. H. Cheng, X. J. Wang, Y. R. Liu, L. Su, T. W. Quan, N. Li, F. F. Yin, F. Xiong, X. M. Liu, Q. M. Luo, H. Gong, S. Q. Zeng, 2019
An unsupervised style normalization method for cytopathology images., X. H. Chen, J. Y. Yu, S. H. Cheng, X. B. Geng, S. B. Liu, W. Han, J. B. Hu, L. Chen, X. L. Liu, S. Q. Zeng, 2021
Large-scale localization of touching somas from 3D images using density-peak clustering., S. H. Cheng, T. W. Quan, X. M. Liu, S. Q. Zeng, 2016

生物医学图像处理识别宫颈癌筛查系统开发病理诊断算法增强

钱晓华 - 上海交通大学

赵俊 - 上海交通大学

Area of Focus
医学成像 | 图像处理 | Ct模型 | 算法 | 可视化 | 光谱Ct | Mri | 相位对比 | X射线 | 重建

莫小红 - 南方医科大学

Area of Focus
计算机应用 | 教学 | 教育 | 技术 | 软件 | 编程 | 数据 | 分析 | 系统 | 开发 | 图像处理 | 数据分析 | 计算机视觉 | 算法 | 图形 | 可视化 | 模式识别 | 机器学习 | 信号处理 | 自动化

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