个人简介
Education
Ph.D. in Computer Science, University of Florida, 2018
M.S. in Computer Application Technology, Huazhong University of Science and Technology, 2011
B.S. in Software Engineering, Huazhong University of Science and Technology, 2008
Work Experience
2021.9 - Now: Assistant Professor at School of Data Science, Fudan University, Shanghai, China
2018.8 - 2021.6: Postdoc Associate at Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
2014.8 - 2018.5: Research Assistant at Department of CISE, University of Florida, Gainesville, FL, USA
2011.5 - 2013.8: Software Engineer at Shanghai United Imaging Healthcare, Shanghai, China
Academic Service
Session chair, Information Processing in Medical Imaging, 2023
Program committee member, MICCAI workshop on Machine Learning in Clinical Neuroimaging, 2022, 2023
Reviewer for multiple IEEE Transactions (Image Processing, Medical Imaging, Radiation and Plasma Medical Sciences, Geoscience and Remote Sensing, Geoscience and Remote Sensing Letters), Neural Networks, International Journal of Remote Sensing
Honors and Awards
2013.01: Annual outstanding staff award of Shanghai United Imaging Healthcare
2011.01: China excellent master thesis
2008.06: Outstanding graduate award of HUST
2006.12: Citigroup financial information education program scholarship
近期论文
查看导师最新文章
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Journal Articles
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. PDF
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. PDF
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. PDF
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. PDF
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. PDF CODE
Yuan Zhou, Erin Wetherley, Paul Gader, "Unmixing Urban Hyperspectral Imagery Using Probability Distributions to Represent Endmember Variability." Remote Sensing of Environment, 2020. PDF CODE
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. PDF CODE
Yuan Zhou, Anand Rangarajan, Paul Gader, "A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing." IEEE Transactions on Image Processing, 2018. PDF CODE
Yuan Zhou, Anand Rangarajan, Paul Gader, "A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation." IEEE Trans. on Image Processing, 2016. PDF CODE
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. PDF CODE
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. PDF
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.
Conference Papers
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. PDF
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. PDF
Yuan Zhou, Hemant Tagare, "Self-Normalized Classification of Parkinson′s Disease DaTscan Images." 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021. PDF
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. PDF
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.
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. PDF
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. PDF
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. PDF
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.
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.
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.
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