A spatial compositional model for linear unmixing. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (WHISPERS, 2015)

A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (CoRR, 2015)

A Gaussian mixture model representation of endmember variability for spectral unmixing. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (WHISPERS, 2016)

A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (IEEE Trans. Image Process., 2016)

Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (CVPR Workshops, 2017)

Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability. - Yuan Zhou 004; Erin B. Wetherley; Paul D. Gader (CoRR, 2018)

A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (IEEE Trans. Image Process., 2018)

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. - Xiaoxiao Li; Nicha C. Dvornek; Yuan Zhou 004; Juntang Zhuang; Pamela Ventola; James S. Duncan (IPMI, 2019)

Bayesian Longitudinal Modeling of Early Stage Parkinson's Disease Using DaTscan Images. - Yuan Zhou 004; Hemant D. Tagare (IPMI, 2019)

Graph Neural Network for Interpreting Task-fMRI Biomarkers. - Xiaoxiao Li; Nicha C. Dvornek; Yuan Zhou 004; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (5), 2019)

Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Yufeng Gu; Pamela Ventola; James S. Duncan (MICCAI (1), 2020)

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (7), 2020)

An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images. - Yuan Zhou 004; Anand Rangarajan 001; Paul D. Gader (IEEE Trans. Geosci. Remote. Sens., 2020)

Self-normalized Classification of Parkinson's Disease DaTscan Images. - Yuan Zhou 004; Hemant D. Tagare (BIBM, 2021)

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Siyuan Gao; Juntang Zhuang; Dustin Scheinost; Lawrence H. Staib; Pamela Ventola; James S. Duncan (Medical Image Anal., 2021)

Robust Bayesian Analysis of Early-Stage Parkinson's Disease Progression Using DaTscan Images. - Yuan Zhou 004; Sule Tinaz; Hemant D. Tagare (IEEE Trans. Medical Imaging, 2021)

3D Global Fourier Network for Alzheimer's Disease Diagnosis Using Structural MRI. - Shengjie Zhang; Xiang Chen; Bohan Ren; Haibo Yang 002; Ziqi Yu; Xiao-Yong Zhang; Yuan Zhou 004 (MICCAI (1), 2022)

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. - Chenyu You; Yuan Zhou 004; Ruihan Zhao 001; Lawrence H. Staib; James S. Duncan (IEEE Trans. Medical Imaging, 2022)

TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation. - Shengjie Zhang; Bohan Ren; Ziqi Yu; Haibo Yang 002; Xiaoyang Han; Xiang Chen; Yuan Zhou 004; Dinggang Shen; Xiao-Yong Zhang (IEEE J. Biomed. Health Informatics, 2023)

A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders. - Shengjie Zhang; Xiang Chen; Xin Shen; Bohan Ren; Ziqi Yu; Haibo Yang 002; Xi Jiang 001; Dinggang Shen; Yuan Zhou 004; Xiao-Yong Zhang (Medical Image Anal., 2023)

Interpreting High-Dimensional Projections With Capacity. - Yang Zhang; Jisheng Liu; Chufan Lai; Yuan Zhou 004; Siming Chen 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Disentangle Disease-Relevant Patterns from Irrelevant Patterns in fMRI Analysis Using Equivariant and Contrastive Learning. - Xin Shen; Shengjie Zhang; Wenbin Liu; Yuan Zhou 004 (IPMI (2), 2025)

CQformer: Learning Dynamics Across Slices in Medical Image Segmentation. - Shengjie Zhang; Xin Shen; Xiang Chen; Ziqi Yu; Bohan Ren; Haibo Yang 002; Xiao-Yong Zhang; Yuan Zhou 004 (IEEE Trans. Medical Imaging, 2025)