方 向：医学信息学，临床决策支持，联系方式：1057813680@qq.com

主要成果：武汉大学管理科学与工程专业博士，工学硕士，现从事医疗大数据与人工智能平台建设工作，具有医疗、大数据、工程的交叉学科背景与工作经验。共计发表论文14余篇，申请软件著作权及专利5项。其中以第一作者/通讯作者发表医工交叉SCI/SSCI文章6篇，中科院1区TOP一篇（npj digital medicine，IF15.3）。

【主要论文】

1. A Multicenter Study on Two-Stage Transfer Learning Model for Duct-Dependent CHDs Screening in Fetal Echocardiography. Npj Digital Medicine, SCI, IF:15.2, 第一作者，2023 

2. The two-stage ensemble learning model based on aggregated facial features in screening for fetal genetic diseases. Ijerph, SCI/SSCI, IF:4.6, 第一作者, 2023 

3. A Deep-Learning-Based Method Can Detect Both Common and Rare Genetic Disorders in Fetal Ultrasound. Biomedicines, SCI, IF:4.8, 第一作者，2023 

4. An Innovative Three-Stage Model for Prenatal Genetic Disorder Detection Based on Region-of-Interest in Fetal Ultrasound. Bioengineering, SCI, IF:4.6, 第一作者，2023 

5. A Deep Learning-Based Brain Age Prediction Model for Preterm Infants via Neonatal MRI. IEEE ACCESS, SCI, IF:3.8, 第一作者，2023 

6. Digital Analysis of Smart Registration Methods for Magnetic Resonance Images in Public Healthcare. Frontiers in Public health, SCI/SSCI, JCR 1, 6.4, 共同通讯作者，已检索, 2022