姓名
赵静文
性别
女


职称
讲师

研究方向
计算机视觉、生物医学图像分析

通讯地址
上海市松江区龙腾路333号工程技术大学行政楼908室

邮政编码
201620

联系电话
+86 **

电子邮箱
jingwen_echo@outlook.com

个人简介
赵静文，上海工程技术大学计算机系，讲师。2009-2013年就读于华东理工大学计算机科学与技术专业，并获得学士学位，2013-2018年就读于复旦大学计算机应用专业，并获得博士学位。研究方向包括计算机视觉，生物医学图像处理和分析。

主要成果
学术论文：
1.J. Zhao, H. Li, M. Duan, S. H. Wang, and Y. Q. Chen. Rapid identification of neuronal structures in electronic microscope image using novel combined multi-scale image features. NEUROCOMPUTING, 230.22 (2017.3): 152-159.
2.J.Zhao, S. H. Wang, X. Liu, Y. Liu, Y. Q. Chen, Early diagnosis of cirrhosis via automatic location and geometric description of liver capsule.The Visual Computer.December 2018,Volume 34,Issue12,pp 1677–1689.
3.J. Zhao, G. Zhang, L. Tian, Y. Q. Chen, Real-time human detection with depth camera via a physical radius-depth detector and a CNN descriptor. 2017 IEEE International Conference on Multimedia and Expo (ICME 2017).
4.S. H. Wang, J. Zhao, and Y. Q. Chen, Robust Tracking of Fish Schools using CNN for Head Identification. Multimedia tools and applications, (2016): 1-19.
5.S. H. Wang, J. Zhao, X. Liu, Y. Liu, and Y. Q. Chen, 3D Tracking Swimming Fish School with Learned Kinematic Model using LSTM Network. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP 2017).
6.S. H. Wang, X. Liu, J.Zhao, J. L. Song, J. Q. Zhang, and Y. Q. Chen,Learning to Diagnose Cirrhosis via Combined Liver Capsule and Parenchyma Ultrasound Image Features. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016).
7.S. H. Wang, X. Liu, J. Zhao, Y. Liu, and Y. Q. Chen,3D Tracking Swimming Fish School using a Master View Tracking First Strategy. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016).
8.X. Liu, J. Song,J. Zhao, Y. Q. Chen, J. Zhang, Extracting and describing liver capsule contour in high-frequency ultrasound image for early hbv cirrhosis diagnosis. 2016 IEEE International Conference on Multimedia and Expo (ICME 2016).
9.X. Liu, J. Song, S. H. Wang, J. Zhao，Y. Q. Chen, Learning to diagnose cirrhosis with liver capsule guided ultrasound image classification. Sensors, 17.1 (2017): 149.
10.X. Liu, Z. Zhan, M. Yan, J. Zhao, Y. Q. Chen, Computer-aided Cirrhosis Diagnosis via Automatic Liver Capsule Extraction and Combined Geometry-texture Features.2017 IEEE International Conference on Multimedia and Expo (ICME 2017).
11.L. Tian, M. Li, G. Zhang, J. Zhao, Robust Human Detection with Super-pixel Segmentation and Random Ferns Classification Using RGB-D Camera. 2017 IEEE International Conference on Multimedia and Expo (ICME 2017).
项目：
1.上海市自然科学基金 No.17ZR**用彩色深度相机三维跟踪人群和识别群体行为的若干关键问题的研究 2017.07-2019.06参与
2.上海市自然科学基金 No.19ZR**基于视觉特征抽取和机器学习驱动的肝纤维化肝硬化超声辅助诊断 2019.07-2021.06 参与