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Yuan Zhou 0004
Person information
- affiliation: University of Florida, Department of Computer and Information Science and Engineering, Gainesville, FL, USA
Other persons with the same name
- Yuan Zhou — disambiguation page
- Yuan Zhou 0001
— Tsinghua University, School of Public Policy and Management, Beijing, China
- Yuan Zhou 0002
- Yuan Zhou 0003
- Yuan Zhou 0005
- Yuan Zhou 0006
- Yuan Zhou 0007
- Yuan Zhou 0008 — Network Emergency Response Technical Team/Coordination Center, China
- Yuan Zhou 0009
- Yuan Zhou 0010 — University of Siegen, Germany
- Yuan Zhou 0011
- Yuan Zhou 0012 — University of Illinois Urbana-Champaign, USA
- Yuan Zhou 0013 — University of Oxford, UK
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2020 – today
- 2024
- [j9]Yang Zhang
Interpreting High-Dimensional Projections With Capacity. IEEE Trans. Vis. Comput. Graph. 30(9): 6038-6055 (2024) - 2023
- [j8]Shengjie Zhang
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders. Medical Image Anal. 90: 102932 (2023) - [j7]Shengjie Zhang, Bohan Ren, Ziqi Yu, Haibo Yang, Xiaoyang Han, Xiang Chen, Yuan Zhou, Dinggang Shen, Xiao-Yong Zhang:
TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation. IEEE J. Biomed. Health Informatics 27(2): 1072-1083 (2023) - 2022
- [j6]Chenyu You
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(9): 2228-2237 (2022) - [c10]Shengjie Zhang, Xiang Chen, Bohan Ren, Haibo Yang, Ziqi Yu, Xiao-Yong Zhang
3D Global Fourier Network for Alzheimer's Disease Diagnosis Using Structural MRI. MICCAI (1) 2022: 34-43 - 2021
- [j5]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. 74: 102233 (2021) - [j4]Yuan Zhou
Robust Bayesian Analysis of Early-Stage Parkinson's Disease Progression Using DaTscan Images. IEEE Trans. Medical Imaging 40(2): 549-561 (2021) - [c9]Yuan Zhou, Hemant D. Tagare:
Self-normalized Classification of Parkinson's Disease DaTscan Images. BIBM 2021: 1205-1212 - [i8]Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. CoRR abs/2108.06227 (2021) - [i7]Yuan Zhou, Hemant D. Tagare:
Self-normalized Classification of Parkinson's Disease DaTscan Images. CoRR abs/2112.13637 (2021) - 2020
- [j3]Yuan Zhou
An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 58(5): 3020-3033 (2020) - [c8]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) 2020: 625-635 - [c7]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan:
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. MICCAI (1) 2020: 792-801 - [i6]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR abs/2007.14589 (2020)
2010 – 2019
- 2019
- [c6]Yuan Zhou, Hemant D. Tagare:
Bayesian Longitudinal Modeling of Early Stage Parkinson's Disease Using DaTscan Images. IPMI 2019: 405-416 - [c5]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. IPMI 2019: 718-730 - [c4]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang
Graph Neural Network for Interpreting Task-fMRI Biomarkers. MICCAI (5) 2019: 485-493 - [i5]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Neural Network for Interpreting Task-fMRI Biomarkers. CoRR abs/1907.01661 (2019) - 2018
- [j2]Yuan Zhou
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing. IEEE Trans. Image Process. 27(5): 2242-2256 (2018) - [i4]Yuan Zhou, Erin B. Wetherley, Paul D. Gader:
Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability. CoRR abs/1801.08513 (2018) - [i3]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. CoRR abs/1812.06181 (2018) - 2017
- [c3]Yuan Zhou, Anand Rangarajan
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening. CVPR Workshops 2017: 1571-1579 - [i2]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing. CoRR abs/1710.00075 (2017) - 2016
- [j1]Yuan Zhou
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation. IEEE Trans. Image Process. 25(12): 5987-6002 (2016) - [c2]Yuan Zhou, Anand Rangarajan
A Gaussian mixture model representation of endmember variability for spectral unmixing. WHISPERS 2016: 1-5 - 2015
- [c1]Yuan Zhou, Anand Rangarajan
A spatial compositional model for linear unmixing. WHISPERS 2015: 1-4 - [i1]Yuan Zhou, Anand Rangarajan, Paul D. Gader:
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation. CoRR abs/1509.09243 (2015)
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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