个人简介
周志勇,博士,研究员。主要从事医学影像智能分析和一体化诊疗系统研发,重点研究医学影像处理分析、多模态影像配准、手术规划导航和基于人工智能和大数据的重大疾病辅助诊断技术。
主持国家自然科学基金、国家重点研发项目子课题、江苏省重点研发计划项目、浙江省重点研发项目子课题和江苏省博士后基金项目多项。现在国内外期刊和会议发表论文20余篇,授权和申请发明专利20余项。
近期论文
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1.Grading of Hepatocellular Carcinoma Using 3D SE-DenseNet in Dynamic Enhanced MR Images.Computers in Biology and Medicine,2019.
2.Accurate and Robust Non-rigid Point Set Registration using Student’s-t Mixture Model with Prior Probability Modeling,Scientific Reports,2018,7.DOI:10.1038/s41598-018-26288-6
3.A Real-time Wireless Wearable EEG System Based on SVM for Encephalopathy Daily Monitoring,International Journal of Distributed Sensor Networks.2018,14(5),DOI:10.1177/1550147718779562
4.Combining SENSE and reduced field?of?view for high?resolution diffusion weighted magnetic resonance imaging.BioMedical Engineering OnLine,2018.
5.Direct point-based registration for precise non-rigid surface matching using Student’s-t mixture model.Biomedical Signal Processing and Control,2017,33:10-18.
6.Examining Brain Morphometry Associated with Self-esteem in Young Adults using Multilevel-ROI-features-based Classification Method.Frontiers in Computational Neuroscience,2017,11
7.Examining population differences in cerebral morphometry between Chinese and Indian undergraduate students,Neuroscience Letters,2016,636:290-297.(3区,IF=2.159)
8.Robust Non-rigid Point Set Registration Using Student’s-t Mixture Model.PLoS ONE,2014,9(3).
9.Evaluation of Four Similarity Measures for 2D/3D Registration in Image-Guided Intervention.Journal of Medical Imaging and Health Informatics,2014,4(3):416-421.
10.Probabilistic Classification Vector Machines for Multiclass Classification.The 31st Chinese Control and Decision Conferenc(CCDC 2019)
11.An efficient algorithm for defect reconstruction from 3D point cloud.2018 10th International Conference on Graphics and Image Processing(ICGIP 2018),2018(EI)
12.Vessel Segmentation using Prior Shape based on Tensor Analysis for Inhomogeneous Intensity and Weak-edge Images.2nd International Conference on Image,Vision and Computing,2017.
13.Computer aided analysis of cognitive disorder in patients with Parkinsonism using machine learning method with multilevel ROI-based features[C].Image and Signal Processing,BioMedical Engineering and Informatics(CISP-BMEI),International Congress on.IEEE,2016:1792-1796.(EI)
学术兼职
现任江苏省研究型医院学会医学影像与人工智能专业委员会常委。