Yu Zhao

发表

Task fMRI data analysis based on supervised stochastic coordinate coding

Wei Zhang, Yu Zhao, Qingyang Li, 2017, Medical Image Anal..

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders

Yu Zhao, Qing Li, Tianming Liu, 2019, IPMI.

Modeling Task fMRI Data via Deep Convolutional Autoencoder

Yu Zhao, Heng Huang, Xintao Hu, 2017, IPMI.

Intelligence moderates the relationship between age and inter-connectivity of resting state networks in older adults

Lisa M. Renzi-Hammond, D. Terry, J. Lv, 2019, Neurobiology of Aging.

Integrated analysis of lncRNA–miRNA–mRNA ceRNA network and the potential prognosis indicators in sarcomas

Yu Zhao, Xuelei Ma, Ling Zhang, 2020, BMC Medical Genomics.

Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs)

Yu Zhao, Tianming Liu, Dajiang Zhu, 2022, Neural Networks.

Identification of endometriosis-associated genes and pathways based on bioinformatic analysis

Yu Zhao, Ruoan Jiang, Ting Wang, 2021, Medicine.

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data

Jinglei Lv, Dajiang Zhu, Lei Guo, 2019, IEEE Transactions on Biomedical Engineering.

Radial Structure Scaffolds Convolution Patterns of Developing Cerebral Cortex

Lei Guo, Yujie Li, Yu Zhao, 2017, Front. Comput. Neurosci..

Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data

Yujie Li, Yu Zhao, Meng Li, 2015, NeuroImage.

Joint representation of consistent structural and functional profiles for identification of common cortical landmarks

Dinggang Shen, Yu Zhao, Tianming Liu, 2017, Brain Imaging and Behavior.

Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data

Yu Zhao, Meng Li, Tuo Zhang, 2014, MICCAI.

Deep learning frameworks for functional and structural medical image analysis

Yu Zhao, Yu Zhao, 2018 .

Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder

Junwei Han, Yu Zhao, Jinglei Lv, 2016, NeuroImage: Clinical.

Connectome-scale Groupwise Consistent Resting-state Network Analysis in Autism Spectrum Disorder

Jinglei Lv, Tuo Zhang, Lei Guo, 2016 .

Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling

Yu Zhao, Tianming Liu, Wei Zhang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls

Yu Zhao, Tianming Liu, Shu Zhang, 2018, MICCAI.

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks

Wei Zhang, Yu Zhao, Xintao Hu, 2018, IEEE Transactions on Biomedical Engineering.

Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO‐CNN) with weak label initialization

Yu Zhao, Tianming Liu, Fangfei Ge, 2018, Medical Image Anal..

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs

Xiang Li, Wei Zhang, Yu Zhao, 2017, NeuroImage.

Constructing fine‐granularity functional brain network atlases via deep convolutional autoencoder

Yujie Li, Yu Zhao, Tianming Liu, 2017, Medical Image Anal..

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network

Jinglei Lv, Heng Huang, Dinggang Shen, 2020, IEEE Transactions on Biomedical Engineering.

Modeling Task fMRI Data Via Deep Convolutional Autoencoder

Yu Zhao, Xintao Hu, Lei Guo, 2018, IEEE Transactions on Medical Imaging.

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics

Athanasios V. Vasilakos, Yu Zhao, Heng Huang, 2017, Neurocomputing.

Four-Dimensional Modeling of fMRI Data via Spatio–Temporal Convolutional Neural Networks (ST-CNNs)

Quanzheng Li, Yu Zhao, Tianming Liu, 2018, IEEE Transactions on Cognitive and Developmental Systems.

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning

Xintao Hu, Lei Guo, Shijie Zhao, 2020, Brain Connect..

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN) pdf

Xiang Li, Wei Zhang, Yu Zhao, 2018, MICCAI.

Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks

Tuo Zhang, Keith M. Kendrick, Xi Jiang, 2021, MICCAI.

A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks

Tuo Zhang, Xi Jiang, Tianming Liu, 2021, PRCV.

Supervised Dictionary Learning for Inferring Concurrent Brain Networks

Yu Zhao, Jinglei Lv, Xintao Hu, 2015, IEEE Transactions on Medical Imaging.

Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping

John C. Gore, Zhaohua Ding, Muwei Li, 2021, IEEE Transactions on Medical Imaging.

Template-guided Functional Network Identification via Supervised Dictionary Learning

Yu Zhao, Jieping Ye, Tianming Liu, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Joint representation of consistent structural and functional profiles for identification of common cortical landmarks

D. Shen, Yu Zhao, Xi Jiang, 2018, Brain Imaging and Behavior.

Functional alterations in bipartite network of white and grey matters during aging

S. Resnick, Yu Zhao, Z. Ding, 2023, NeuroImage.

Simultaneous spatial-temporal decomposition for connectome-scale brain networks by deep sparse recurrent auto-encoder

Qing Li, Yu Zhao, Tianming Liu, 2021, Brain Imaging and Behavior.

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci

Yu Zhao, Huan Liu, Lei Guo, 2019, IEEE Transactions on Biomedical Engineering.