Yu Zhao
Orcid: 0000-0002-9592-0867Affiliations:
- University of Georgia, Department of Computer Science / Bioimaging Research Center, Athens, GA, USA
According to our database1,
Yu Zhao
authored at least 34 papers
between 2014 and 2023.
Collaborative distances:
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on orcid.org
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Bibliography
2023
Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs).
Neural Networks, January, 2023
2022
Medical Image Anal., 2022
2021
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
IEEE Trans. Biomed. Eng., 2020
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).
IEEE Trans. Cogn. Dev. Syst., 2020
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.
Brain Connect., 2020
2019
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
IEEE Trans. Biomed. Eng., 2019
IEEE Trans. Biomed. Eng., 2019
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics.
Neurocomputing, 2019
Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
PhD thesis, 2018
IEEE Trans. Medical Imaging, 2018
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.
IEEE Trans. Biomed. Eng., 2018
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.
NeuroImage, 2018
Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.
Medical Image Anal., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder.
Medical Image Anal., 2017
Medical Image Anal., 2017
Frontiers Comput. Neurosci., 2017
A novel framework for groupwise registration of fMRI images based on common functional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Template-guided Functional Network Identification via Supervised Dictionary Learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2015
IEEE Trans. Medical Imaging, 2015
Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data.
NeuroImage, 2015
Brain Informatics, 2015
2014
Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014