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ORCIDPeng Liu 0037
Person information
- affiliation: University of Florida, J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesvill, FL, USA
Other persons with the same name
- Peng Liu — disambiguation page
- Peng Liu 0001 — Microsoft Research Asia, Beijing, China
- Peng Liu 0002 — FZI Forschungszentrum Informatik an der Universität Karlsruhe, Germany
- Peng Liu 0003
![[0000-0002-2529-8726]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2529-8726")
— Southern University of Science and Technology, Shenzhen, China (and 2 more) - Peng Liu 0004 — Shenyang University of Technology, School of Management, China
- Peng Liu 0005 — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA (and 2 more)
- Peng Liu 0006 — PLA University of Science and Technology, Institute of Command Automation, Nanjing, China
- Peng Liu 0007 — Iowa State University, Department of Statistics, Ames, IA, USA (and 1 more)
- Peng Liu 0008 — Harbin Institute of Technology, Pattern Recognition and Intelligent System Research Center, China
- Peng Liu 0009 — Beijing Institute of Technology, School of Mechanical Engineering, China
- Peng Liu 0010 — Purdue University, USA (and 3 more)
- Peng Liu 0011 — Trinity College Dublin, Ireland
- Peng Liu 0012 — California State University, Fullerton, CA, USA (and 1 more)
- Peng Liu 0013 — China University of Mining and Technology, CUMT-IoT Perception Mine Research Center, Xuzhou, China
- Peng Liu 0014 — Lanzhou University, School of Management, Lanzhou, China
- Peng Liu 0015 — Queen's University, Department of Electr. & Comput. Engineering, Kingston, ON, Canada
- Peng Liu 0016 — Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China
- Peng Liu 0017 — Xidian University, Key Laboratory of Ministry of Education for Electronic Equipment Structure Design, Xian, China
- Peng Liu 0018 — NXP Semiconductors Austria GmbH, Gratkorn, Austria (and 2 more)
- Peng Liu 0019 — Fudan University, Key Laboratory of Wave Scattering and Remote Sensing Information, Shanghai, China (and 1 more)
- Peng Liu 0020 — PLA University of Science and Technology, Department of Network Engineering, Nanjing, China
- Peng Liu 0021 — Huazhong University of Science and Technology, School of Electric and Electronic Engineering, Wuhan, China
- Peng Liu 0022 — Southeast University, School of Automation, Nanjing, China
- Peng Liu 0023 — Jilin University, School of Computer Science and Technology, Changchun, China
- Peng Liu 0024 — Chinese Academic of Science, Institute of Remote Sensing and Digital Earth, Beijing, China
- Peng Liu 0025 — Norwegian University of Science and Technology, Department of Computer Science, Trondheim, Norway
- Peng Liu 0026 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Peng Liu 0027 — Hangzhou Dianzi University, School of Computer Science and Technology, National Demonstration Center for Experimental Computer Education, China (and 1 more)
- Peng Liu 0028 — Beijing University of Technology, College of Metropolitan Transportation, China
- Peng Liu 0029 — Jiangnan Institute of Computing Technology, Wuxi, China
- Peng Liu 0030 — Tianjin University, Department of Industrial Engineering, College of Management and Economics, China (and 1 more)
- Peng Liu 0031 — Pennsylvania State University, Department of Electrical Engineering, University Park, PA, USA
- Peng Liu 0032 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Peng Liu 0033 — Chinese Academy of Science, Institute of Acoustics, Key Laboratory of Information Technology for Autonomous Underwater Vehicles, Beijing, China
- Peng Liu 0034 — University of Newcastle Upon Tyne, UK
- Peng Liu 0035 — Harbin Engineering University, College of Computer Science and Technology, Harbin, China
- Peng Liu 0036 — Ocean University of China, Computing Center, Qingdao, China
- Peng Liu 0038 — Zhengzhou University of Light Industry, College of Electronic and Information Engineering, Zhengzhou, China (and 1 more)
- Peng Liu 0039 — State University of New York at Binghamton, Department of Computer Science, Binghamton, NY, USA
- Peng Liu 0040 — North China Electric Power University, School of Electrical and Electronic Engineering, Beijing, China
- Peng Liu 0041 — University of Wisconsin-Madison, Department of Computer Sciences, Madison, WI, USA
- Peng Liu 0042 — China University of Petroleum, College of Mechanical and Electronic Engineering, Qingdao, China
- Peng Liu 0043 — University of Lausanne, Department of Actuarial Science, Lausanne, Switzerland
- Peng Liu 0044 — Guangxi Normal University, School of Computer Science and Information Technology, Guangxi Key Lab of Multi-Source Information Mining and Security, Guilin, China (and 1 more)
- Peng Liu 0045 — Guangdong University of Technology, School of Computers, Guangzhou, China (and 1 more)
- Peng Liu 0046 — Chinese Academy of Sciences, Institute of Acoustics, Haikou Laboratory, Haikou, China
- Peng Liu 0047 — Huawei Technologies, Wireless Technology Lab, Shenzhen, China (and 1 more)
- Peng Liu 0048 — University of Kent, UK
- Peng Liu 0049 — University of Electronic Science and Technology of China, Chengdu, China
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2020 – today
- 2024
[j4]Joseph Cox, Peng Liu, Skylar E. Stolte, Yunchao Yang, Kang Liu, Kyle B. See, Huiwen Ju, Ruogu Fang:
BrainSegFounder: Towards 3D foundation models for neuroimage segmentation. Medical Image Anal. 97: 103301 (2024)- [j3]Peng Liu, Ke Bo, Mingzhou Ding, Ruogu Fang:
Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects. PLoS Comput. Biol. 20(3): 1011943 (2024) - [i9]Joseph Cox, Peng Liu, Skylar E. Stolte, Yunchao Yang, Kang Liu, Kyle B. See, Huiwen Ju, Ruogu Fang:
BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis. CoRR abs/2406.10395 (2024) - 2022
- [j2]Peng Liu, Charlie T. Tran, Bin Kong, Ruogu Fang:
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation. Neurocomputing 469: 209-220 (2022) - 2021
- [i8]Peng Liu, Charlie T. Tran, Bin Kong, Ruogu Fang:
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation. CoRR abs/2110.02417 (2021) - 2020
- [i7]Peng Liu, Ruogu Fang:
Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection. CoRR abs/2001.01815 (2020)
2010 – 2019
- 2019
- [j1]Peng Liu, Mohammad D. El Basha, Yangjunyi Li, Yao Xiao, Pina C. Sanelli, Ruogu Fang:
Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising. Medical Image Anal. 54: 306-315 (2019) - [c3]Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang:
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. MICCAI (5) 2019: 521-529 - [p1]Yao Xiao, Skylar E. Stolte, Peng Liu, Yun Liang, Pina C. Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang:
Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 261-275 - [i6]Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang:
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. CoRR abs/1910.07638 (2019) - [i5]Peng Liu, Ruogu Fang:
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion. CoRR abs/1910.08364 (2019) - [i4]Peng Liu, Xiaoxiao Zhou, Junyi Yang, Mohammad D. El Basha, Ruogu Fang:
Image Restoration Using Deep Regulated Convolutional Networks. CoRR abs/1910.08853 (2019) - [i3]Peng Liu, Xiaoxiao Zhou, Junyiyang Li, Mohammad D. El Basha, Ruogu Fang:
KRNET: Image Denoising with Kernel Regulation Network. CoRR abs/1910.08867 (2019) - 2018
- [c2]Peng Liu, Ruogu Fang:
SDCNet: Smoothed dense-convolution network for restoring low-dose cerebral CT perfusion. ISBI 2018: 349-352 - [c1]Peng Liu, Yangjunyi Li, Mohammad D. El Basha, Ruogu Fang:
Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising. MICCAI (1) 2018: 12-20 - 2017
- [i2]Peng Liu, Ruogu Fang:
Wide Inference Network for Image Denoising. CoRR abs/1707.05414 (2017) - [i1]Peng Liu, Ruogu Fang:
Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising. CoRR abs/1707.09135 (2017)
Coauthor Index
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