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ORCIDYang Gao 0030
Person information
- affiliation: Central South University, Changsha, School of Computer Science and Engineering, Hunan, China
- affiliation (PhD 2022): University of Queensland, School of Information Technology and Electrical Engineering, Australia
Other persons with the same name
- Yang Gao — disambiguation page
- Yang Gao 0001
![[0000-0002-2488-1813]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2488-1813")
— Nanjing University, State Key Laboratory for Novel Software Technology, China - Yang Gao 0002 — University of Surrey, Guildford, UK
- Yang Gao 0003 — University of California, Riverside, CA, USA
- Yang Gao 0004 — University of Calgary, Department of Geomatics Engineering, AB, Canada
- Yang Gao 0005 — University of Edinburgh, Statistical Machine Translation Group, UK
- Yang Gao 0006 — University of Maryland, College Park, MD, USA
- Yang Gao 0007 — Nav Canada (and 1 more)
- Yang Gao 0008 — Lanzhou University, School of Mathematics and Statistics, China
- Yang Gao 0009 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Yang Gao 0010 — Dalian University of Technology, School of Computer Science and Technology, China
- Yang Gao 0011 — University of Oldenburg, Germany
- Yang Gao 0012 — Beijing Satellite Navigation Center, Beijing, China (and 1 more)
- Yang Gao 0013 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yang Gao 0014 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Yang Gao 0015 — Zhejiang University, Qiushi Academy for Advanced Studies, Interdisciplinary Institute of Neuroscience and Technology, Hangzhou, China
- Yang Gao 0016 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China (and 1 more)
- Yang Gao 0017 — National University of Defense Technology, Hefei, China
- Yang Gao 0018 — University of Nottingham, Nottingham Geospatial Institute, UK
- Yang Gao 0019 — Rutgers University, Department of Chemistry and Chemical Biology, Piscataway, NJ, USA
- Yang Gao 0020 — University of Birmingham, UK
- Yang Gao 0021 — Royal Holloway University of London, UK (and 3 more)
- Yang Gao 0022 — University of Waterloo, Waterloo, Ontario, Canada
- Yang Gao 0024 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Yang Gao 0025 — Northwestern University, Department of Computer Science, Chicago, IL, USA (and 1 more)
- Yang Gao 0026 — Soochow University, Suzhou, China
- Yang Gao 0027 — University of Texas at Dallas, TX, USA
- Yang Gao 0028 — Yantai University, Yantai, China
- Yang Gao 0029 — Tsinghua University, Beijing, China (and 3 more)
- Yang Gao 0031 — University of Utah, Department of Computer Science, Salt Lake City, UT, USA
- Yang Gao 0032 — Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
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Books and Theses
- 2022
[b1]Yang Gao:
Deep learning-based quantitative susceptibility mapping: methods development and applications. University of Queensland, Australia, 2022
Journal Articles
- 2024
- [j10]Yang Gao, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H. Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun:
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. Medical Image Anal. 94: 103160 (2024) - [j9]Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter J. Nestor, Feng Liu, Hongfu Sun:
Quantitative susceptibility mapping through model-based deep image prior (MoDIP). NeuroImage 291: 120583 (2024) - 2023
- [j8]Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun:
Affine transformation edited and refined deep neural network for quantitative susceptibility mapping. NeuroImage 267: 119842 (2023) - [j7]Hongping Gan, Yang Gao, Chunyi Liu, Haiwei Chen, Tao Zhang, Feng Liu:
AutoBCS: Block-Based Image Compressive Sensing With Data-Driven Acquisition and Noniterative Reconstruction. IEEE Trans. Cybern. 53(4): 2558-2571 (2023) - 2022
- [j6]Hongping Gan, Yang Gao, Tao Zhang:
Non-Cartesian Spiral Binary Sensing Matrices. Circuits Syst. Signal Process. 41(5): 2934-2946 (2022) - [j5]Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J. Nestor, Viktor Vegh, Fatima A. Nasrallah, Craig D. Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun:
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage 259: 119410 (2022) - 2021
- [j4]Yang Gao, Martijn Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun:
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. NeuroImage 240: 118404 (2021) - [j3]Lei Dong, Gang Li, Chunxiao Tian, Ling Lin, Yang Gao, Yu Zheng:
Design of Submillimeter Magnetic Stimulation Instrumentation and Its Targeted Inhibitory Effect on Rat Model of Epilepsy. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - 2020
- [j2]Hongping Gan, Song Xiao, Zhimin Zhang, Shanshan Shan, Yang Gao:
Chaotic Compressive Sampling Matrix: Where Sensing Architecture Meets Sinusoidal Iterator. Circuits Syst. Signal Process. 39(3): 1581-1602 (2020) - 2019
- [j1]Yu Zheng, Chunxiao Tian, Lei Dong, Xiaoxu Ma, Yang Gao, Chan Xiong, Kanghui Zhang, Chengshuang Li:
Extreme Low Frequency Electromagnetic Field Stimulation Induces Metaplastic-Like Effects on LTP/ LTD. IEEE Access 7: 152919-152927 (2019)
Informal and Other Publications
- 2024
- [i5]Zhuang Xiong, Wei Jiang, Yang Gao, Feng Liu, Hongfu Sun:
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping. CoRR abs/2403.14070 (2024) - [i4]Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao:
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules. CoRR abs/2406.12300 (2024) - 2023
- [i3]Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter J. Nestor, Feng Liu, Hongfu Sun:
Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP). CoRR abs/2308.09467 (2023) - 2022
- [i2]Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun:
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources. CoRR abs/2204.02760 (2022) - [i1]Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun:
Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility Mapping. CoRR abs/2211.13942 (2022)
Coauthor Index
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