郑州轻工业大学硕士生导师基本情况一览表
姓名 | 朱付保 |
|
职称 | 教授 | |
学科/专业学位类别 | 计算机科学与技术 | |
研究方向 | 数据科学与工程、人工智能及应用 | |
1.导师基本情况 朱付保，男，1974年11月生，中共党员，博士后，教授。河南省教育厅学术技术带头人，河南省文明教师，河南省电子信息专业学位研究生教指委委员，中国计算机学会会员、中国体视学学会会员。2008年7月至今在郑州轻工业学院计算机科学与技术学院从事教学科研工作。1997年6月本科毕业于河南师范大学计算机科学系，获理学学士学位；2005年6月年研究生毕业于武汉大学计算机学院，获工学硕士学位；2008年6月年博士毕业于武汉大学，获工学博士学位；2013年1月复旦大学计算机科学与技术博士后流动站出站。主要研究兴趣包括数据挖掘、机器学习、智慧医疗等。 2.代表性成果 [1] Fubao Zhu, Yanhui Tian, Chuang Han, Yanting Li, Jiaofen Nan, Ni Yao, Weihua Zhou, Model-level Attention and Batch-instance Style Normalization for Federated Learning on Medical Image Segmentation, Information Fusion, 102348, 2024. [2] Fubao Zhu, Longxi Li, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi,Zenghong Chen, Chuang Han, Zhixin Jiang, Weihua Zhou. A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. Computers in Biology and Medicine. Vol.160(106954), 2023. [3] Fubao Zhu, Guojie Wang, Chen Zhao, Saurabh Malhotra, Min Zhao, Zhuo He, Jianzhou Shi, Zhixin Jiang, Weihua Zhou. Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images. Journal of Nuclear Cardiology. 30(5): 1825-1835, 2023. [4] Fubao Zhu, Zelin Zhu, Yijun Zhang, Hanlei Zhu, Zhengyuan Gao, Xiaoman Liu, Guanbin Zhou, Yan Xu, Fei Shan. Severity Detection of COVID-19 Infection with Machine Learning of Clinical Records and CT Images. Technology and Health Care. 30(6): 1299-1314, 2022. [5] Fubao Zhu, Zhengyuan Gao, Chen Zhao, Hanlei Zhu, Jiaofen Nan, Yanhui Tian, Yong Dong, Jingfeng Jiang, Xiaohong Feng, Neng Dai, Weihua Zhou. A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images. Ultrasonic Imaging, 44(5-6): 191-203, 2022. [6] Fubao Zhu, Zhengyuan Gao, Chen Zhao, Zelin Zhu, Jinshan Tang, Yanyun Liu, Shaojie Tang, Chengzhi Jiang, Xinhui Lie, Min Zhao, Weihua Zhou. Semantic Segmentation Using Deep Learning to Extract Total Extraocular Muscles and Optic Nerve from Orbital Computed Tomography Images. Optik, Vol 244 (167551), 2021. [7] Fubao Zhu, Dongxu Xu, Yanyun Liu, Kun Lou, Zhuo He, Hao Zhang, Yanhui Sheng, Rong Yang, Xinli Li, Xiangqing Kong, Haifeng Zhang, Weihua Zhou. Machine Learning for the Diagnosis of Pulmonary Hypertension. Kardiologiya, 60(6): 96-101, 2020. [8] Fubao Zhu, Xiaonan Li, Haipeng Tang, Zhuo He, Chaoyang Zhang, Guang-Uei Hung, Pai-Yi Chiu, and Weihua Zhou. Machine Learning for the Preliminary Diagnosis of Dementia. Scientific Programming. Vol 2020(5629090), 2020. [9] Fubao Zhu, Yanyun Liu, Haixing Wen, Tianquan Wang, Jian Fang, Shaojie Tang. Optimization of back projection with different geometry configurations of X-ray sources in digital breast tomosynthesis: A Monte Carlo simulation study. Optik. Vol 202 (163604), 2020. [10] Fubao Zhu, Xiaonan Li, Daniel McGonigle, Haipeng Tang, Zhuo He, Chaoyang Zhang, Guang-Uei Hung, Pai-Yi Chiu, Weihua Zhou. Analyze Informant-based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning. IEEE Journal of Translational Engineering in Health and Medicine. Vol 8(2200106), 2020. 3.在研项目 1.国家自然基金面上项目，基于机器学习和影像学多参数融合的心血管不良事件风险预测模型研究，2024.01-2027.12 2.河南省科技攻关项目，基于深度学习和PET/CT多模态多参数的淋巴瘤辅助诊断平台关键技术研究，2023.01-2024.12 3.合作研究课题（河南中医药大学第一临床医学院），基于认知诊断理论的慢性阻塞性肺疾病急性加重期中医证候诊断关键技术研究, 2023.06-2024.06 4.企业合作课题（北京天思英弘信息技术有限公司），项目主持人，数字化医院关键技术研究及平台设计，2024.01-2026.12 | ||
