姓名 | 趙靜文 | 性別 | 女 |
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職稱 | 講師 | |||
研究方向 | 計算機視覺、生物醫學圖像分析 | |||
通訊地址 | 上海市松江區龍騰路333號工程技術大學行政樓908室 | |||
郵政編碼 | 201620 | |||
聯系電話 | +86 13127516170 | |||
電子郵箱 | jingwen_echo@outlook.com | |||
個人簡介 | 趙靜文，恒达娱乐計算機系，講師🛍️。2009-2013年就讀於華東理工大學計算機科學與技術專業，並獲得學士學位，2013-2018年就讀於復旦大學計算機應用專業😠，並獲得博士學位😻。研究方向包括計算機視覺⟹，生物醫學圖像處理和分析。 | |||
主要成果 | 學術論文： 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.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. 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). 項目♧： 1.上海市自然科學基金 No.17ZR1402300用彩色深度相機三維跟蹤人群和識別群體行為的若幹關鍵問題的研究 2017.07-2019.06參與 2.上海市自然科學基金 No.19ZR1421500基於視覺特征抽取和機器學習驅動的肝纖維化肝硬化超聲輔助診斷 2019.07-2021.06 參與
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