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publications
Intima-Medial Thickness Homogeneity in the Common Carotid Artery: Measurement Method and Preliminary Clinical Study
Published in Journal of Clinical Ultrasound, 2012
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Recommended citation: Xinyao Cheng, Yuan Zhou, Yalei Jin, Guokuan Li, Hua Wang, Enmin Song, "Intima-Medial Thickness Homogeneity in the Common Carotid Artery: Measurement Method and Preliminary Clinical Study." Journal of Clinical Ultrasound, 2012.
Ultrasound Intima-Media Segmentation Using Hough Transform and Dual Snake Model
Published in Computerized Medical Imaging and Graphics, 2012
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Recommended citation: Xiangyang Xu, Yuan Zhou, Xinyao Cheng, Enmin Song, Guokuan Li, "Ultrasound Intima-Media Segmentation Using Hough Transform and Dual Snake Model." Computerized Medical Imaging and Graphics, 2012.
Dynamic Programming in Parallel Boundary Detection with Application to Ultrasound Intima-Media Segmentation
Published in Medical image analysis, 2013
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Recommended citation: Yuan Zhou, Xinyao Cheng, Xiangyang Xu, Enmin Song, "Dynamic Programming in Parallel Boundary Detection with Application to Ultrasound Intima-Media Segmentation." Medical image analysis, 2013.
A Spatial Compositional Model for Linear Unmixing
Published in 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015
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Recommended citation: Yuan Zhou, A. Rangarajan, P. Gader, "A Spatial Compositional Model for Linear Unmixing." 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015.
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation
Published in IEEE Trans. on Image Processing, 2016
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Recommended citation: Yuan Zhou, Anand Rangarajan, Paul Gader, "A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation." IEEE Trans. on Image Processing, 2016.
A Gaussian Mixture Model Representation of Endmember Variability for Spectral Unmixing
Published in 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016
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Recommended citation: Yuan Zhou, A. Rangarajan, P. Gader, "A Gaussian Mixture Model Representation of Endmember Variability for Spectral Unmixing." 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016.
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
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Recommended citation: Yuan Zhou, A. Rangarajan, P. Gader, "Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening." 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017.
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing
Published in IEEE Transactions on Image Processing, 2018
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Recommended citation: Yuan Zhou, Anand Rangarajan, Paul Gader, "A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing." IEEE Transactions on Image Processing, 2018.
Bayesian Longitudinal Modeling of Early Stage Parkinson′s Disease Using DaTscan Images
Published in International Conference on Information Processing in Medical Imaging, 2019
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Recommended citation: Yuan Zhou, Hemant Tagare, "Bayesian Longitudinal Modeling of Early Stage Parkinson′s Disease Using DaTscan Images." International Conference on Information Processing in Medical Imaging, 2019.
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery
Published in International Conference on Information Processing in Medical Imaging, 2019
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Recommended citation: Xiaoxiao Li, Nicha Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James Duncan, "Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery." International Conference on Information Processing in Medical Imaging, 2019.
Graph Neural Network for Interpreting Task-fMRI Biomarkers
Published in Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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Recommended citation: Xiaoxiao Li, Nicha Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James Duncan, "Graph Neural Network for Interpreting Task-fMRI Biomarkers." Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019.
Efficient Shapley Explanation for Features Importance Estimation under Uncertainty
Published in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020
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Recommended citation: Xiaoxiao Li, Yuan Zhou, Nicha Dvornek, Yufeng Gu, Pamela Ventola, James Duncan, "Efficient Shapley Explanation for Features Importance Estimation under Uncertainty." International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020.
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis
Published in Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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Recommended citation: Xiaoxiao Li, Yuan Zhou, Nicha Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James Duncan, "Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis." Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020.
An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images
Published in IEEE Transactions on Geoscience and Remote Sensing, 2020
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Recommended citation: Yuan Zhou, A. Rangarajan, P. Gader, "An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images." IEEE Transactions on Geoscience and Remote Sensing, 2020.
Unmixing Urban Hyperspectral Imagery Using Probability Distributions to Represent Endmember Variability
Published in Remote Sensing of Environment, 2020
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Recommended citation: Yuan Zhou, Erin Wetherley, Paul Gader, "Unmixing Urban Hyperspectral Imagery Using Probability Distributions to Represent Endmember Variability." Remote Sensing of Environment, 2020.
Robust Bayesian Analysis of Early-Stage Parkinson′s Disease Progression Using DaTscan Images
Published in IEEE Transactions on Medical Imaging, 2021
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Recommended citation: Yuan Zhou, Sule Tinaz, Hemant Tagare, "Robust Bayesian Analysis of Early-Stage Parkinson′s Disease Progression Using DaTscan Images." IEEE Transactions on Medical Imaging, 2021.
Self-Normalized Classification of Parkinson′s Disease DaTscan Images
Published in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
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Recommended citation: Yuan Zhou, Hemant Tagare, "Self-Normalized Classification of Parkinson′s Disease DaTscan Images." 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021.
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
Published in Medical Image Analysis, 2021
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Recommended citation: Xiaoxiao Li, Yuan Zhou, Nicha Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence Staib, Pamela Ventola, James Duncan, "BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis." Medical Image Analysis, 2021.
3D Global Fourier Network for Alzheimer′s Disease Diagnosis Using Structural MRI
Published in Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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Recommended citation: Shengjie Zhang, Xiang Chen, Bohan Ren, Haibo Yang, Ziqi Yu, Xiao-Yong Zhang, Yuan Zhou, "3D Global Fourier Network for Alzheimer′s Disease Diagnosis Using Structural MRI." Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022.
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Published in IEEE Transactions on Medical Imaging, 2022
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Recommended citation: Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence Staib, James Duncan, "SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation." IEEE Transactions on Medical Imaging, 2022.
TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation
Published in IEEE Journal of Biomedical and Health Informatics, 2022
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Recommended citation: 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 Journal of Biomedical and Health Informatics, 2022.
Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer′s Disease Progression Modeling
Published in Information Processing in Medical Imaging, 2023
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Recommended citation: Jiangchuan Du, Yuan Zhou, "Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer′s Disease Progression Modeling." Information Processing in Medical Imaging, 2023.
A-GCL: Adversarial Graph Contrastive Learning for fMRI Analysis to Diagnose Neurodevelopmental Disorders
Published in Medical Image Analysis, 2023
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Recommended citation: Shengjie Zhang, Xiang Chen, Xin Shen, Bohan Ren, Ziqi Yu, Haibo Yang, Xi Jiang, Dinggang Shen, Yuan Zhou, Xiao-Yong Zhang, "A-GCL: Adversarial Graph Contrastive Learning for fMRI Analysis to Diagnose Neurodevelopmental Disorders." Medical Image Analysis, 2023.
research
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Medical Image Analysis
Undergraduate Course, Fudan University, School of Data Science, 2023
This course teaches the basics of medical image analysis. It mainly contains four parts: reconstruction, enhancement, segmentation and registration. The covered contents are focused on the classic methodology used in this area.
Introduction to Statistical Computing
Graduate Course, Fudan University, School of Data Science, 2023
This course teaches probabilistic graphical models and their inference algorithms.