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程君

职位:副教授

邮箱:juncheng@szu.edu.cn

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个人简介

程君,博士,副教授,深圳市海外高层次人才C类。分别于2013年和2018年获得南方医科大学生物医学工程学士和博士学位,博士导师为冯前进教授。2016年4月至2018年3月分别在美国俄亥俄州立大学生物医学信息学系和印第安纳大学医学院黄昆教授实验室交流访问。博士毕业后于2018年7月入职深圳大学医学部生物医学工程学院,从事教学和科研工作。长期致力于计算机辅助诊断、计算病理、影像基因组学等方面研究,相关研究成果发表于Nature Communications、Medical Image Analysis、Cancer Research、Bioinformatics、MICCAI等期刊和会议。主持国家自然科学基金项目1项,参与科技部重点研发计划、国家自然科学基金面上等项目。

研究方向

计算机辅助诊断;

计算病理;

影像基因组学。

科研项目

1. 国家自然科学基金青年科学基金项目,联合病理图像和转录组数据预测结肠癌预后新方法研究(编号61901275),2020.01-2022.12,主持。

代表性成果

[1] Jun Cheng, Zhi Han, Rohit Mehra, Wei Shao, Michael Cheng, Qianjin Feng, Dong Ni*, Kun Huang*, Liang Cheng*, Jie Zhang*. Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma. Nature Communications, 2020.

[2] Jiamin Liang#, Xin Yang#, Yuhao Huang, Haoming Li, Shuangchi He, Xindi Hu, Zejian Chen, Wufeng Xue, Jun Cheng*, Dong Ni*. Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis. Medical Image Analysis, 2022.

[3] Jikuan Qian#, Rui Li#, Xin Yang, Yuhao Huang, Mingyuan Luo, Zehui Lin, Wenhui Hong, Ruobing Huang, Haining Fan, Dong Ni, Jun Cheng*. HASA: hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images. Expert Systems with Applications, 2022.

[4] Jun Cheng#, Yize Mao#, Wenhui Hong#, Wanming Hu#, Peng Shu#, Kun Huang, Jingjing Yu, Maofen Jiang, Liqin Li*, Wei Wang*, Dong Ni*, Shengping Li*. Multimodal data analysis reveals that pancreatobiliary-type ampullary adenocarcinoma resembles pancreatic adenocarcinoma and differs from cholangiocarcinoma. Journal of Translational Medicine, 2022.

[5] Jun Cheng#, Haixia Wang#, Rui Li, Xiaomeng Li, Xu Zhou, Xin Yang, Yi Wang, Linfei Xiong, Haining Fan, Tianfu Wang, Mei Li*, Dong Ni*. A two-stage multiresolution neural network for automatic diagnosis of hepatic echinococcosis from ultrasound images: a multicenter study. Medical Physics, 2022.

[6] Jun Cheng#, Yi Pan#, Wei Huang, Kun Huang, Yanhai Cui, Wenhui Hong, Lingling Wang, Dong Ni*, Peixin Tan*. Differentiation between immune checkpoint inhibitor‐related and radiation pneumonitis in lung cancer by CT radiomics and machine learning. Medical Physics, 2022.

[7] Junyu Li, Han Huang, Dong Ni, Dongmei Zhu*, Jun Cheng*. MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis. MICCAI, 2023.

[8] Han Huang, Yijie Dong, Xiaohong Jia, Jianqiao Zhou, Dong Ni, Jun Cheng*, Ruobing Huang*. Personalized diagnostic tool for thyroid cancer classification using multi-view ultrasound. MICCAI, 2022.

[9] Jun Cheng, Xiaokui Mo, Xusheng Wang, Anil Parwani, Qianjin Feng*, Kun Huang*. Identification of topological features in renal tumor microenvironment associated with patient survival. Bioinformatics, 2018.

[10] Jun Cheng#, Jie Zhang#, Yatong Han, Xusheng Wang, Xiufen Ye, Yuebo Meng, Anil Pawani, Zhi Han, Qianjin Feng*, Kun Huang*. Integrative analysis of histopathological images and genomic data predicts clear cell renal cell carcinoma prognosis. Cancer Research, 2017.