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ORCIDDong Liu 0024
Person information
- affiliation: Wuhan University of Science and technology, School of Computer Science and Technology, China
Other persons with the same name
- Dong Liu — disambiguation page
- Dong Liu 0001 — Columbia University, Department of Electrical Engineering, New York, NY, USA (and 1 more)
- Dong Liu 0002
![[0000-0001-9100-2906]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9100-2906")
— University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China - Dong Liu 0003 — Beihang University, School of Electronics and Information Engineering, Beijing, China
- Dong Liu 0004 — Renmin University of China, Department of Psychology, China
- Dong Liu 0005 — Tongji University, School of Electronics and Information, Shanghai, China
- Dong Liu 0006 — Aalborg University, Department of Energy Technology, Denmark (and 1 more)
- Dong Liu 0007 — University of Science and Technology of China, Department of Modern Physics, CAS Key Laboratory of Microscale Magnetic Resonance, Hefei, China
- Dong Liu 0008 — Henan Normal University, School of Computer Science and Technology, Xinxiang, China (and 1 more)
- Dong Liu 0009 — KTH Royal Institute of Technology, Division of Information Science and Engineering, Stockholm, Sweden
- Dong Liu 0010 — Nantong University, Jiangsu Key Laboratory of Neuroregeneration, Nantong, China
- Dong Liu 0011 — Dalian University of Technology, School of Mechanical Engineering, Dalian, China (and 2 more)
- Dong Liu 0012 — Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong
- Dong Liu 0013 — Shenyang Aerospace University, China (and 1 more)
- Dong Liu 0014 — IBM China Research Laboratory, Beijing, China
- Dong Liu 0015 — The Open University, Knowledge Media Institute, Milton Keynes, UK
- Dong Liu 0016 — Michigan State University, National Superconducting Cyclotron Laboratory, East Lansing, MI, USA (and 2 more)
- Dong Liu 0017 — Jinan University, Department of Computer Science, Guangzhou, China
- Dong Liu 0018 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Key Laboratory of Control of Power Transmission and Conversion, Shanghai, China
- Dong Liu 0019 — Global Energy Interconnection Research Institute Co., State Key Laboratory of Advanced Power Transmission Technology, Beijing, China
- Dong Liu 0020 — Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation, Hangzhou, China
- Dong Liu 0021 — Shandong Youth University of Political Science, School of Information Engineering, Jinan, China
- Dong Liu 0022 — Key Lab of National Defense Technology, Academy of Equipment Command and Technology, Beijing, China (and 1 more)
- Dong Liu 0023 — Yunnan University, School of Information, Kunming, China
- Dong Liu 0025 — Dalian University of Technology, School of Software, China (and 1 more)
- Dong Liu 0026 — TiMi Studio Group, Shenzhen, China
- Dong Liu 0027 — Xiangnan University, School of Computer and Artificial Intelligence, Chenzhou, China (and 2 more)
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Journal Articles
- 2021
[j3]Xiaoming Liu, Shaocheng Wang, Ying Zhang, Dong Liu, Wei Hu:
Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning. Neurocomputing 452: 576-591 (2021)- 2019
- [j2]Xiaoming Liu, Dong Liu, Tianyu Fu, Zhifang Pan, Wei Hu, Kai Zhang:
Shortest path with backtracking based automatic layer segmentation in pathological retinal optical coherence tomography images. Multim. Tools Appl. 78(12): 15817-15838 (2019) - [j1]Xiaoming Liu, Tianyu Fu, Zhifang Pan, Dong Liu, Wei Hu, Jun Liu, Kai Zhang:
Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier. IEEE J. Biomed. Health Informatics 23(4): 1404-1416 (2019)
Conference and Workshop Papers
- 2019
- [c5]Xiaoming Liu, Dong Liu, Bo Li, Shaocheng Wang:
Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images. ICIC (1) 2019: 337-345 - 2018
- [c4]Xiangkai Wei, Xiaoming Liu, Aihui Yu, Tianyu Fu, Dong Liu:
Clustering-Oriented Multiple Convolutional Neural Networks for Optical Coherence Tomography Image Denoising. CISP-BMEI 2018: 1-5 - [c3]Aihui Yu, Xiaoming Liu, Xiangkai Wei, Tianyu Fu, Dong Liu:
Generative Adversarial Networks with Dense Connection for Optical Coherence Tomography Images Denoising. CISP-BMEI 2018: 1-5 - [c2]Xiaoming Liu, Dong Liu, Tianyu Fu, Kai Zhang, Jun Liu, Li Chen:
Shortest Path with Backtracking Based Automatic Layer Segmentation in Pathological Retinal Optical Coherence Tomography. ICIP 2018: 2770-2774 - [c1]Xiaoming Liu, Tianyu Fu, Zhifang Pan, Dong Liu, Wei Hu, Bo Li:
Semi-Supervised Automatic Layer and Fluid Region Segmentation of Retinal Optical Coherence Tomography Images Using Adversarial Learning. ICIP 2018: 2780-2784
Coauthor Index
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