Lili Shi

Combination of generative adversarial network and convolutional neural network for automatic subcentimeter pulmonary adenocarcinoma classification.

Fei Shan, Yunpeng Wang, Cheng Shao, 2020, Quantitative imaging in medicine and surgery.

Repeatability and Reproducibility of Computed Tomography Radiomics for Pulmonary Nodules

F. Shan, Xueqing Peng, Shuyi Yang, 2021, Investigative radiology.

Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter

Weiya Shi, F. Shan, Xueqing Peng, 2021, Frontiers in Oncology.

CT-Based Radiomics Predicts the Malignancy of Pulmonary Nodules: A Systematic Review and Meta-Analysis.

Jinli Zhao, Lei Liu, Meihong Sheng, 2023, Academic radiology.

CT-based radiomics for differentiating invasive adenocarcinomas from indolent lung adenocarcinomas appearing as ground-glass nodules: Asystematic review.

Xueqing Peng, Lei Liu, Jinli Zhao, 2021, European journal of radiology.

Radiomics in distinguishing between lung adenocarcinoma and lung squamous cell carcinoma: a systematic review and meta-analysis

Lili Shi, Zhichao Wei, Jinli Zhao, 2024, Frontiers in Oncology.