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ORCIDXiang Liu 0003
Person information
- affiliation: Shanghai University of Engineering Science, School of Electronic and Electrical Engineering, China
- affiliation: Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, China
Other persons with the same name
- Xiang Liu — disambiguation page
- Xiang Liu 0001 — Peking University, School of Software and Microelectronics, Beijing, China (and 2 more)
- Xiang Liu 0002 — ArrayComm LLC, Guildford, UK (and 1 more)
- Xiang Liu 0004
![[0000-0003-1129-5716]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1129-5716")
— Southeast University, School of Information Science and Engineering, Nanjing, China - Xiang Liu 0005 — Nanjing Normal University, College of Geography Science / Key Laboratory of Virtual Geographic Environment, China
- Xiang Liu 0006 — Rutgers University, Department of Civil and Environmental Engineering, New Brunswick, NJ, USA (and 1 more)
- Xiang Liu 0007 — Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Key Laboratory of Wireless Sensor Network and Communication, China
- Xiang Liu 0008 — Beijing Jiaotong University, MOE Key Laboratory for Urban Underground Engineering, China
- Xiang Liu 0009 — National University of Defense Technology, College of Electronic Engineering, Hefei, China
- Xiang Liu 0010 — Tianjin Normal University, College of Electronics and Communication Engineering, Tianjin, China
- Xiang Liu 0011 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Xiang Liu 0012 — Ocean University of China, Department of Electrical Engineering, Qingdao, China
- Xiang Liu 0013 — Futurewei Technologies, Bridgewater, NJ, USA
- Xiang Liu 0014 — Southeast University, Nanjing, Jiangsu, China
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2020 – today
- 2024
[j12]Xinyi Chen, Xiang Liu, Yuke Wu, Zhenglei Wang, Shuohong Wang:
Research related to the diagnosis of prostate cancer based on machine learning medical images: A review. Int. J. Medical Informatics 181: 105279 (2024)- 2021
- [j11]Shiyu Wang, Xiang Liu, Jingwen Zhao, Yiwen Liu, Shuhong Liu, Yisi Liu, Jingmin Zhao:
Computer auxiliary diagnosis technique of detecting cholangiocarcinoma based on medical imaging: A review. Comput. Methods Programs Biomed. 208: 106265 (2021) - [j10]Xiang Liu, Rui Lin Ma, Jingwen Zhao, Jia Ling Song, Jian Quan Zhang, Shuohong Wang:
A clinical decision support system for predicting cirrhosis stages via high frequency ultrasound images. Expert Syst. Appl. 175: 114680 (2021) - [c9]Xiang Liu, Xiuli Pu, Yunyu Shi, Jialin Song:
A Novel Method to Denoise CEUS Image Combining Bidirectional ConvLSTM with 3D DnCNN. BIBM 2021: 1590-1594 - 2020
- [j9]Xian Tang, Junfeng Zhou, Yaxian Qiu, Xiang Liu, Yunyu Shi, Jingwen Zhao:
One Edge at a Time: A Novel Approach Towards Efficient Transitive Reduction Computation on DAGs. IEEE Access 8: 38010-38022 (2020) - [j8]Yiwen Liu, Xiang Liu, Shuohong Wang, Jialin Song, Jianquan Zhang:
A novel method for accurate extraction of liver capsule and auxiliary diagnosis of liver cirrhosis based on high-frequency ultrasound images. Comput. Biol. Medicine 125: 104002 (2020)
2010 – 2019
- 2019
- [j7]Xian Tang, Ziyang Chen, Kai Li, Xiang Liu:
Efficient computation of the transitive closure size. Clust. Comput. 22(Supplement): 6517-6527 (2019) - [j6]Xiang Liu, Pei Ru Zhu, Ye Liu, Jingwen Zhao:
Tracking Full-Body Motion of Multiple Fish with Midline Subspace Constrained Multicue Optimization. Sci. Program. 2019: 1868797:1-1868797:7 (2019) - 2018
- [j5]Jingwen Zhao, Shuohong Wang, Xiang Liu, Ye Liu, Yan Qiu Chen:
Early diagnosis of cirrhosis via automatic location and geometric description of liver capsule. Vis. Comput. 34(12): 1677-1689 (2018) - 2017
- [j4]Yunyu Shi, Jianfang Shan, Xiang Liu, Yongxiang Xia:
Prior Knowledge-Based Event Network for Chinese Text. Int. J. Digit. Multim. Broadcast. 2017: 8594863:1-8594863:5 (2017) - [j3]Yunyu Shi, Haisheng Yang, Ming Gong, Xiang Liu, Yongxiang Xia:
A Fast and Robust Key Frame Extraction Method for Video Copyright Protection. J. Electr. Comput. Eng. 2017: 1231794:1-1231794:7 (2017) - [j2]Xiang Liu, Jia Lin Song, Shuohong Wang, Jingwen Zhao, Yan Qiu Chen:
Learning to Diagnose Cirrhosis with Liver Capsule Guided Ultrasound Image Classification. Sensors 17(1): 149 (2017) - [j1]Yan Zhang, Xiang Liu, Yunyu Shi, Yunqi Guo, Chaoqun Xu, Erwen Zhang, Jiaxun Tang, Zhijun Fang:
Fashion Evaluation Method for Clothing Recommendation Based on Weak Appearance Feature. Sci. Program. 2017: 8093057:1-8093057:12 (2017) - [c8]Zhiping Xu, Xiang Liu, Xi En Cheng, Jia Lin Song, Jian Quan Zhang:
Diagnosis of cirrhosis stage via deep neural network. BIBM 2017: 745-749 - [c7]Hua Zhang, Xing Zhang, Yunyu Shi, Jiaxun Tang, Xiang Liu:
Fine-grained traffic checkpoint motor vehicle recognition system based on deep convolutional neural network. CISP-BMEI 2017: 1-5 - [c6]Shuohong Wang, Jingwen Zhao, Xiang Liu, Zhiming Qian, Ye Liu, Yan Qiu Chen:
3D tracking swimming fish school with learned kinematic model using LSTM network. ICASSP 2017: 1068-1072 - [c5]Xiang Liu, Zhiqin Zhan, Ming Yan, Jingwen Zhao, Jia Lin Song, Yan Qiu Chen:
Computer-aided cirrhosis diagnosis via automatic liver capsule extraction and combined geometry-texture features. ICME 2017: 865-870 - [c4]Xiaoshuang Liu, Zhijun Fang, Xiang Liu, Xiangxiang Zhang, Jianrong Gu, Qi Xu:
Driver Fatigue Detection Using Multitask Cascaded Convolutional Networks. IFIP TC12 ICIS 2017: 143-152 - 2016
- [c3]Shuohong Wang, Xiang Liu, Jingwen Zhao, Ye Liu, Yan Qiu Chen:
3D tracking swimming fish school using a master view tracking first strategy. BIBM 2016: 516-519 - [c2]Shuohong Wang, Xiang Liu, Jingwen Zhao, Jia Lin Song, Jian Quan Zhang, Yan Qiu Chen:
Learning to diagnose cirrhosis via combined liver capsule and parenchyma ultrasound image features. BIBM 2016: 799-804 - [c1]Xiang Liu, Jia Lin Song, Jingwen Zhao, Yan Qiu Chen, Jian Quan Zhang:
Extracting and describing liver capsule contour in high-frequency ultrasound image for early HBV cirrhosis diagnosis. ICME 2016: 1-6
Coauthor Index
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last updated on 2024-05-09 00:25 CEST by the dblp team
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