研究方向：神经影像与人工智能

研究成果：

以第一作者身份发表SCI论文3篇

1. Zeng W#, Li W#, Huang K, Lin Z, Dai H, He Z, Liu R, Zeng Z, Qin G*, Chen W* and Wu Y*. Predicting Futile Recanalization, Malignant Cerebral Edema, and Cerebral Herniation using Intelligible Ensemble Machine Learning following Mechanical Thrombectomy for Acute Ischemic Stroke. Frontiers in Neurology. 2022.13:982783.（共一1/2，IF=4.086，JCR分区：Q2，中科院分区：3区）

2. Zheng, S#, Zeng, W#, Xin, Q, Ye Y, Xue X, Li E, Liu T, Yan N, Chen W*, Yin H*. Can cognition help predict suicide risk in patients with major depressive disorder? A machine learning study. BMC Psychiatry. 2022.22:580.（共一2/2，IF=4.144，JCR分区：Q2，中科院分区：2区）

3. He Z#, Li Y#, Zeng W#, Xu W, Liu J, Ma X, Wei J, Zeng H, Xu Z, Wang S, Wen C, Wu J, Feng C, Ma M, Qin G*, Lu Y* and Chen W*. Can a computer-aided mass diagnosis model based on perceptive features learned from quantitative mammography radiology report improve junior radiologists’ diagnosis performance? An observer study. Frontiers in Oncology. 2021;11:773389.（共一3/3，IF=5.738，JCR分区：Q2，中科院分区：3区）

以共同作者身份参与发表SCI论文3篇

1. Zheng S#, Zeng W, Wu Q, Li W, He Z, Li E, Tang C, Xue X, Qin G, Zhang B*, Yin H*. Predictive Models for Suicide Attempts in Major Depressive Disorder and the Contribution of EPHX2: A Pilot Integrative Machine Learning Study. Depression and Anxiety, 2024.（第二，IF=7.4，1区）

2.  Liu R#, Pan D#, Xu Y, Zeng H, He Z, Lin J, Zeng W, Wu Z, Luo Z, Qin G* and Chen W*. A deep learning-machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors. European radiology. 2021.（第七，IF=7.034，2区）

3.  Li Y#, He Z#, Pan J#, Zeng W, Liu J, Zeng Z, Xu W, Xu Z, Wang S, Wen C, Zeng H, Wu J, Ma X, Chen W*, Lu Y*. Atypical architectural distortion detection in digital breast tomosynthesis: a computer-aided detection model with adaptive receptive field. Physics in Medicine and Biology. 2023.（第四，IF=4.174，2区）

4. Li Y#, He Z#, Ma X, Zeng W, Liu J, Xu W, Xu Z, Wang S, Wen C, Zeng H, Wu J, Chen W*, Lu Y*. Architectural Distortion Detection Based on Superior–Inferior Directional Context and Anatomic Prior Knowledge in Digital Breast Tomosynthesis. Medical Physics. 2022: 3749–68. （第四，IF=4.506，3区）

参与发明实用新型专利1项

实用新型专利，CN213875484U，一种组织标本X线辅助摄影装置，徐维敏；曾伟雄；文婵娟；陈卫国；等

以第一作者身份发表英文电子壁报2项

1. 曾伟雄，秦耿耿，陈卫国，Predicting Futile Recanalization using Ensemble Machine Learning following Mechanical Thrombectomy for Acute Ischemic Stroke；中华医学会第二十九次全国放射学学术大会（CCR2022）

2. Zeng W, Pan D, Zeng F, Wu J, He Z, Chen W; Comparison of lesion conspicuity between wide-angle and narrow-angle Digital Breast Tomosynthesis in mastectomy specimens；EUROPEAN CONGRESS OF RADIOLOGY（ECR2024）

联系邮箱： zengwx1101@163.com