赵静文
发布时间: 2019-07-08 浏览次数: 9477

姓名

赵静文

性别

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

邮政编码

201620

联系电话

+86 13127516170

电子邮箱

jingwen_echo@outlook.com

个人简介

赵静文,bob电竞体育平台登录计算机系,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, Issue 12, 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. ZhaoY. 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.17ZR1402300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.19ZR1421500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

  


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