Yuan Zhou

Orcid: 0000-0002-7846-8629

Affiliations:
  • University of Florida, Department of Computer and Information Science and Engineering, Gainesville, FL, USA


According to our database1, Yuan Zhou authored at least 22 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
CQformer: Learning Dynamics Across Slices in Medical Image Segmentation.
IEEE Trans. Medical Imaging, February, 2025

2024
Interpreting High-Dimensional Projections With Capacity.
IEEE Trans. Vis. Comput. Graph., September, 2024

2023
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders.
Medical Image Anal., December, 2023

TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation.
IEEE J. Biomed. Health Informatics, February, 2023

2022
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

3D Global Fourier Network for Alzheimer's Disease Diagnosis Using Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Robust Bayesian Analysis of Early-Stage Parkinson's Disease Progression Using DaTscan Images.
IEEE Trans. Medical Imaging, 2021

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis.
Medical Image Anal., 2021

Self-normalized Classification of Parkinson's Disease DaTscan Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Graph Neural Network for Interpreting Task-fMRI Biomarkers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Bayesian Longitudinal Modeling of Early Stage Parkinson's Disease Using DaTscan Images.
Proceedings of the Information Processing in Medical Imaging, 2019

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing.
IEEE Trans. Image Process., 2018

Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability.
CoRR, 2018

2017
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation.
IEEE Trans. Image Process., 2016

A Gaussian mixture model representation of endmember variability for spectral unmixing.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation.
CoRR, 2015

A spatial compositional model for linear unmixing.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015


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