杜东阳,中共党员,1993年出生,讲师
联系方式:dongyang330@gmail.com
通信地址:呼和浩特市赛罕区大学西路235号 内蒙古大学 学院,邮编010021
教育经历:
2016.09-2023.06,南方医科大学,生物医学工程学院,生物医学工程(硕博连读),博士
2021.10-2022.10,加拿大,不列颠哥伦比亚大学,癌症研究中心,访问学者
2012.09-2016.06,南方医科大学,生物医学工程学院,生物医学工程(信息工程),学士
研究方向:
医学图像分析,计算机辅助诊断,PET/CT 影像组学,机器学习,肺癌诊断、预测、预后模型构建
代表性论文:
1. Dongyang Du, Wenbing Lv, Jieqin Lv, Xiaohui Chen, Hubing Wu, Arman Rahmim, and Lijun Lu*. Deep Learning–Based Harmonization of CT Reconstruction Kernels towards Improved Clinical Task Performance. European Radiology, 2022 (JCR Q1, IF= 7.034)
2. Dan Shao#, Dongyang Du#, Haiping Liu#, JieQin Lv, You Cheng, Hao Zhang, Wenbing Lv, ShuxiaWang*, and Lijun Lu*. Identification of Stage IIIC/IV EGFR-Mutated Non-Small Cell Lung Cancer Populations Sensitive to Targeted Therapy Based on a PET/CT Radiomics Risk Model. Frontiers in Oncology, 2021, 11: 721318 (JCR Q2, IF=5.738)
3. Dongyang Du, Jiamei Gu, Xiaohui Chen, Wenbing Lv, Qianjin Feng, Arman Rahmim, Hubing Wu*, and Lijun Lu*. Integration of PET/CT Radiomics and Semantic Features for Differentiation between Active Pulmonary Tuberculosis and Lung Cancer. Molecular Imaging and Biology 2021, 23: 287–298 (JCR Q2, IF=3.484)
4. Dongyang Du, Jiamei Gu, Xiaohui Chen, Wenbing Lv, Qianjin Feng, Arman Rahmim, Hubing Wu*, and Lijun Lu*. Reply to Letter to Editor RE: “Integration of PET/CT Radiomics and Semantic Features for Differentiation Between Active Pulmonary Tuberculosis and Lung Cancer.” Molecular Imaging and Biology 2021, 23: 975–977 (JCR Q2, IF=3.484)
5. Dongyang Du, Hui Feng, Wenbing Lv, Saeed Ashrafinia, Qingyu Yuan, Quanshi Wang, Wei Yang, Qianjin Feng, Wufan Chen, Arman Rahmim, and Lijun Lu*. Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-Therapy PET/CT Images. Molecular Imaging and Biology 2020, 22: 730–738 (JCR Q2, IF=3.484)
6. 杜东阳,路利军,符瑞阳等. 手掌静脉识别:基于端到端卷积神经网络方法. 南方医科大学学报,2019, 39:207-217 (北大核心)
参与科研项目:
1. 参与广东省自然科学基金面上项目,2114050002734,基于域对抗学习的多中心PET影像组学特征均衡化方法研究,2021.01-2023.12
2. 参与国家自然科学基金数学与医疗健康交叉重点专项,12026601, 基于多组学大数据的鼻咽癌个体户临床智能决策算法与支持系统, 2021.01-2022.12
3. 参与国家自然科学基金面上项目,81871437,基于结构与动态联合先验的PET心肌灌注直接4D参数成像方法 2019.01-2022.12
4. 参与国家自然科学基金海外项目,61628105,基于18F-FDG与11C-choline显像的PET/CT鼻咽癌肿瘤异质性纹理分析及预后评估研究,2017.01-2018.12
荣誉奖励:
2021年获得博士研究生国家奖学金
2020年获得国家公派出国留学资格