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ORCIDYu Zhao 0007
Person information
- affiliation: University of Georgia, Department of Computer Science / Bioimaging Research Center, Athens, GA, USA
Other persons with the same name
- Yu Zhao — disambiguation page
- Yu Zhao 0001 — OGS Industries, Singapore (and 1 more)
- Yu Zhao 0002 — Douban Inc., Beijing, China (and 2 more)
- Yu Zhao 0003 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Yu Zhao 0004 — Beijing Institute of Mechanical and Electrical Engineering, China
- Yu Zhao 0005
![[0000-0001-8300-6747]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8300-6747")
— Nanjing University, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures, China - Yu Zhao 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yu Zhao 0008 — Ningxia Medical University, School of Public Health and Management, Yinchuan, China (and 2 more)
- Yu Zhao 0009 — Tencent AI Lab, Shenzhen, China (and 2 more)
- Yu Zhao 0010 — University of Kentucky, Lexington, KY, USA
- Yu Zhao 0011 — Xi'an University of Architecture and Technology, School of Management, Xi'an, China
- Yu Zhao 0012 — Loughborough University, UK
- Yu Zhao 0013 — Harbin Institute of Technology, Space Control and Inertial Technology Research Center, Harbin, China
- Yu Zhao 0014 — Northwestern Polytechnical University in Shenzhen, Research and Development Institute, Shenzhen, China (and 2 more)
- Yu Zhao 0015 — University of California at Berkeley, Department of Mechanical Engineering, Berkely, CA, USA (and 1 more)
- Yu Zhao 0016 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Yu Zhao 0017 — Tianjin University of Technology, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin, China
- Yu Zhao 0018 — Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
- Yu Zhao 0019 — Southwestern University of Finance and Economics, Fintech Innovation Center, Chengdu, China (and 2 more)
- Yu Zhao 0020 — Harbin Institute of Technology, School of Astronautics, Harbin, China
- Yu Zhao 0021 — Beihang University, School of Computer Science and Engineering, Beijing, China (and 1 more)
- Yu Zhao 0022 — Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, Netherlands
- Yu Zhao 0023 — Guangdong University of Technology, School of Material and Energy, Guangdong Provincial Key Laboratory of Functional Soft Condensed Matter, Guangzhou, China
- Yu Zhao 0024 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China
- Yu Zhao 0025 — Zhoukou Normal University, School of Computer Science and Technology, Zhoukou, China
- Yu Zhao 0026 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Yu Zhao 0027 — Shanghai Jiao Tong University, Department of Biomedical Engineering, Image-Guided Surgery and Virtual Reality Lab, Shanghai, China
- Yu Zhao 0028 — Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, China
- Yu Zhao 0029 — Motic (Xiamen) Medical Diagnostic Systems Co. Ltd., Xiamen, China
- Yu Zhao 0030 — Syracuse University, Department of EECS, Syracuse, NY, USA
- Yu Zhao 0031 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Yu Zhao 0032 — Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, USA
- Yu Zhao 0033 — Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA
- Yu Zhao 0034 — Chongqing University of Education, School of Mathematics and Information Engineering, Chongqing, China (and 1 more)
- Yu Zhao 0035 — Hamburg University of Technology, Institute of Communications, Hamburg, Germany (and 1 more)
- Yu (Audrey) Zhao (aka: Yu Zhao 0036) — Lamar University, Beaumont, TX, USA (and 1 more)
- Yu Zhao 0037 — California Institute of Technology, Department of Electrical Engineering, Pasadena, CA, USA
- Yu Zhao 0038 — Massey University, Institute of Natural and Mathematical Sciences, Auckland, New Zealand
- Yu Zhao 0039 — World Health Organization, Infectious Hazard Management, Geneva, Switzerland
- Yu Zhao 0040 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 2 more)
- Yu Zhao 0041 — Queen's University, Department of Electrical and Computer Engineering, Kingston, Canada
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Books and Theses
- 2018
[b1]Yu Zhao:
Deep learning frameworks for functional and structural medical image analysis. University of Georgia, Athens, GA, USA, 2018
Journal Articles
- 2023
- [j18]Xi Jiang, Jiadong Yan, Yu Zhao, Mingxin Jiang, Yuzhong Chen, Jingchao Zhou, Zhenxiang Xiao, Zifan Wang, Rong Zhang, Benjamin Becker, Dajiang Zhu, Keith M. Kendrick, Tianming Liu:
Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs). Neural Networks 158: 99-110 (2023) - 2022
- [j17]Yu Zhao, Ke Zeng, Yiyuan Zhao, Parmeet S. Bhatia, Mahesh Ranganath, Muhammed Labeeb Kozhikkavil, Chen Li, Gerardo Hermosillo:
Deep learning solution for medical image localization and orientation detection. Medical Image Anal. 81: 102529 (2022) - 2020
- [j16]Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu:
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10(2): 72-82 (2020) - [j15]Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12(3): 451-460 (2020) - [j14]Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu:
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020) - 2019
- [j13]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. Neurocomputing 325: 20-30 (2019) - [j12]Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu:
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66(1): 289-299 (2019) - [j11]Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu:
Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. 66(5): 1297-1308 (2019) - 2018
- [j10]Yu Zhao, Fangfei Ge, Tianming Liu:
Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization. Medical Image Anal. 47: 111-126 (2018) - [j9]Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu:
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage 180(Part): 350-369 (2018) - [j8]Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu:
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 65(9): 1975-1984 (2018) - [j7]Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu:
Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging 37(7): 1551-1561 (2018) - 2017
- [j6]Mir Jalil Razavi, Tuo Zhang, Hanbo Chen, Yujie Li, Simon Platt, Yu Zhao, Lei Guo, Xiaoping Hu, Xianqiao Wang, Tianming Liu:
Radial Structure Scaffolds Convolution Patterns of Developing Cerebral Cortex. Frontiers Comput. Neurosci. 11: 76 (2017) - [j5]Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu:
Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 38: 1-16 (2017) - [j4]Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu:
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. Medical Image Anal. 42: 200-211 (2017) - 2015
- [j3]Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu:
HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). Brain Informatics 2(4): 225-238 (2015) - [j2]Hanbo Chen, Tao Liu, Yu Zhao, Tuo Zhang, Yujie Li, Meng Li, Hongmiao Zhang, Hui Kuang, Lei Guo, Joe Z. Tsien, Tianming Liu:
Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data. NeuroImage 115: 202-213 (2015) - [j1]Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu:
Supervised Dictionary Learning for Inferring Concurrent Brain Networks. IEEE Trans. Medical Imaging 34(10): 2036-2045 (2015)
Conference and Workshop Papers
- 2021
- [c15]Jiadong Yan, Yuzhong Chen, Shimin Yang, Shu Zhang, Mingxin Jiang, Zhongbo Zhao, Tuo Zhang, Yu Zhao, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks. MICCAI (7) 2021: 564-573 - [c14]Jiadong Yan, Yu Zhao, Mingxin Jiang, Shu Zhang, Tuo Zhang, Shimin Yang, Yuzhong Chen, Zhongbo Zhao, Zhibin He, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks. PRCV (3) 2021: 350-361 - 2019
- [c13]Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu:
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI 2019: 579-591 - [c12]Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu:
Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. ISBI 2019: 1576-1580 - 2018
- [c11]Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu:
Modeling task fMRI data via mixture of deep expert networks. ISBI 2018: 82-86 - [c10]Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu:
Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. ISBI 2018: 127-131 - [c9]Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu:
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls. MICCAI (3) 2018: 172-180 - [c8]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) 2018: 181-189 - [c7]Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan:
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks. MICCAI (1) 2018: 286-294 - 2017
- [c6]Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu:
Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI 2017: 411-424 - [c5]Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu:
Template-guided Functional Network Identification via Supervised Dictionary Learning. ISBI 2017: 72-76 - [c4]Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu:
A novel framework for groupwise registration of fMRI images based on common functional networks. ISBI 2017: 485-489 - [c3]Hanbo Chen, Yu Zhao, Yujie Li, Jinglei Lv, Tianming Liu:
Inter-subject fMRI registration based on functional networks. ISBI 2017: 863-867 - [c2]Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu:
3-D functional brain network classification using Convolutional Neural Networks. ISBI 2017: 1217-1221 - 2014
- [c1]Hanbo Chen, Yu Zhao, Tuo Zhang, Hongmiao Zhang, Hui Kuang, Meng Li, Joe Z. Tsien, Tianming Liu:
Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data. MICCAI (3) 2014: 273-280
Informal and Other Publications
- 2018
- [i2]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). CoRR abs/1805.12564 (2018) - 2017
- [i1]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics. CoRR abs/1710.08961 (2017)
Coauthor Index
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