Yuan Zhou

33 papers Journal 20Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
CQformer: Learning Dynamics Across Slices in Medical Image Segmentation.
IEEE Trans. Medical Imaging
Shengjie Zhang, Xin Shen, Xiang Chen, Ziqi Yu, Bohan Ren, Haibo Yang, Xiao-Yong Zhang, Yuan Zhou
2025 — conf
Disentangle Disease-Relevant Patterns from Irrelevant Patterns in fMRI Analysis Using Equivariant and Contrastive Learning.
IPMI (2)
Xin Shen, Shengjie Zhang, Wenbin Liu, Yuan Zhou
2025 — conf
Graph Disentanglement Learning for fMRI Analysis: Decoupling Disease, Covariates, and Individual Variability.
MICCAI (12)
Shengjie Zhang, Zhuangzhuang Jiang, Xin Shen, Ziqi Yu, Xiang Chen, Xiao-Yong Zhang, Yuan Zhou
2024 J jnl
Interpreting High-Dimensional Projections With Capacity.
IEEE Trans. Vis. Comput. Graph.
Yang Zhang, Jisheng Liu, Chufan Lai, Yuan Zhou, Siming Chen
2023 J jnl
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders.
Medical Image Anal.
Shengjie Zhang, Xiang Chen, Xin Shen, Bohan Ren, Ziqi Yu, Haibo Yang, Xi Jiang, Dinggang Shen, Yuan Zhou, Xiao-Yong Zhang
2023 — conf
Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer's Disease Progression Modeling.
IPMI
Jiangchuan Du, Yuan Zhou
2023 J jnl
TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation.
IEEE J. Biomed. Health Informatics
Shengjie Zhang, Bohan Ren, Ziqi Yu, Haibo Yang, Xiaoyang Han, Xiang Chen, Yuan Zhou, Dinggang Shen, Xiao-Yong Zhang
2022 — conf
3D Global Fourier Network for Alzheimer's Disease Diagnosis Using Structural MRI.
MICCAI (1)
Shengjie Zhang, Xiang Chen, Bohan Ren, Haibo Yang, Ziqi Yu, Xiao-Yong Zhang, Yuan Zhou
2022 J jnl
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging
Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2021 J jnl
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis.
Medical Image Anal.
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2021 J jnl
Robust Bayesian Analysis of Early-Stage Parkinson's Disease Progression Using DaTscan Images.
IEEE Trans. Medical Imaging
Yuan Zhou, Sule Tinaz, Hemant D. Tagare
2021 — conf
Self-normalized Classification of Parkinson's Disease DaTscan Images.
BIBM
Yuan Zhou, Hemant D. Tagare
2021 J jnl
Self-normalized Classification of Parkinson's Disease DaTscan Images.
CoRR
Yuan Zhou, Hemant D. Tagare
2021 J jnl
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation.
CoRR
Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan
2020 J jnl
An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images.
IEEE Trans. Geosci. Remote. Sens.
Yuan Zhou, Anand Rangarajan, Paul D. Gader
2020 — conf
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty.
MICCAI (1)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan
2020 — conf
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis.
MICCAI (7)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020 J jnl
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis.
CoRR
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019 — conf
Bayesian Longitudinal Modeling of Early Stage Parkinson's Disease Using DaTscan Images.
IPMI
Yuan Zhou, Hemant D. Tagare
2019 — conf
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery.
IPMI
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019 — conf
Graph Neural Network for Interpreting Task-fMRI Biomarkers.
MICCAI (5)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019 J jnl
Graph Neural Network for Interpreting Task-fMRI Biomarkers.
CoRR
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2018 J jnl
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing.
IEEE Trans. Image Process.
Yuan Zhou, Anand Rangarajan, Paul D. Gader
2018 J jnl
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery.
CoRR
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2018 J jnl
Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability.
CoRR
Yuan Zhou, Erin B. Wetherley, Paul D. Gader
2017 J jnl
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing.
CoRR
Yuan Zhou, Anand Rangarajan, Paul D. Gader
2017 — conf
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening.
CVPR Workshops
Yuan Zhou, Anand Rangarajan, Paul D. Gader
2016 — conf
A Gaussian mixture model representation of endmember variability for spectral unmixing.
WHISPERS
Yuan Zhou, Anand Rangarajan, Paul D. Gader
2016 J jnl
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation.
IEEE Trans. Image Process.
Yuan Zhou, Anand Rangarajan, Paul D. Gader
2015 J jnl
A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation.
CoRR
Yuan Zhou, Anand Rangarajan, Paul D. Gader
2015 — conf
A spatial compositional model for linear unmixing.
WHISPERS
Yuan Zhou, Anand Rangarajan, Paul D. Gader
2013 J jnl
Dynamic programming in parallel boundary detection with application to ultrasound intima-media segmentation.
Medical Image Anal.
Yuan Zhou, Xinyao Cheng, Xiangyang Xu, Enmin Song
2012 J jnl
Ultrasound intima-media segmentation using Hough transform and dual snake model.
Comput. Medical Imaging Graph.
Xiangyang Xu, Yuan Zhou, Xinyao Cheng, Enmin Song, Guokuan Li