研究方向：医学影像方向的人工智能研究

研究成果：

1.Zengxiang Pan*, Xu Li*, Guoqin Lin, et al. A transmission measurement based spectrum estimation method incorporating X-ray tube voltage fluctuation.(Quantitative Imaging in Medicine and Surgery, JCR Q2, IF=4.63, 共同一作第二) 

2.Feasibility study of Deep-learning based de-overlapping of projections from nonlinear imaging system of the flat-panel X-ray source. (Physica Mecida,   JCR Q3, IF=3.119,  Revision, 共同一作第一) 

3. Direct Filter Learning from Iterative Reconstructed Images for High QualityAnalytical CBCT Reconstruction Using FDK-Based Neural Network (Physica Mecida, JCR Q3, IF=3.119, Under review, 共同一作第二) 

4. Zeng Fengxia*, Dai Hui*, LI Xu, et al. Preoperative radiomics model using gadobenate dimeglumine-enhanced magnetic resonance imaging for predicting-catenin mutation in patients with hepatocellular carcinoma: A retrospective study. (Frontiers in Oncology, JCR Q2, IF=5.738，第二作者) 

5.An interpretable machine learning algorithm based on multi2modal features predicts pCR in breast cancers after NAC: A2retrospective study (Cancers, JCR Q2, IF=6.575, Under review, 共同一作第二) 

6.国内会议壁报一篇 刘家玲，曾伟雄，李栩，等. 基于机器学习的乳腺癌新辅助化疗疗效预测模型的构建与应用研究（中华医学会全国放射学学术大会2022）

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