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.
11. Qiuxia Yang#, Yize Mao#, Yulong Han#, Kailai Li#, Wanming Hu, Jianyao Zhou, Xuejun Gong, Shuxiang Huang, Rong Zhang, Lizhi Liu, Ningning Niu, Yixiong Li, Liandong Ji, Xiaoping Yi, Wufeng Xue, Dong Ni*, Wenjun Mao*, Peng Luo*, Dong Luo*, Jun Cheng*. Noninvasive Computed Tomography-Based Quantification of Tumor Fibrosis Predicts Pancreatic Cancer Response to Gemcitabine/Nab-Paclitaxel. Research, 2025.
12. Jun Cheng#, Yulong Han#, Ye Yuan, Shuxiang Huang, Bin Xiao, Yuanyuan Kong, Wufeng Xue, Ruixue Yuan, Hailing Liu, Ping Lan, Xiaojian Wu, Youhui Qian, Dong Ni*, Yufeng Chen*. Automated multi‐regional IHC scoring enhances prognostication in colorectal cancer. The Journal of Pathology: Clinical Research, 2025.
