蔡嘉月，博士，硕士生导师。毕业于加拿大不列颠哥伦比亚大学电子与计算机工程专业，加拿大太平洋帕金森病研究中心博士后。主要研究兴趣包括神经影像分析，医学图像处理，人工智能，脑疾病辅助诊断和治疗评估。主持多项国家级和省市级项目，相关研究成果发表于IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)等期刊和会议。担任IEEE BIBM会议的程序委员会委员，IEEE Journal of Biomedical and Health Informatics、IEEE Signal Processing Letters等期刊审稿人。
1.Jiayue Cai, Yuheng Wang,Martin J. McKeown, “Advances in functional and structural imaging of the brainstem: implications for disease”, Current Opinion in Neurology, 37(4),2024.
2.Yuheng Wang, Nandinee Fariah Haq, Jiayue Cai*, Sunil Kali, Harvey Lui, Z. Jane Wang, Tim K.Lee, “Multi-channel content based image retrieval method for skin diseases using similarity network fusion and deep community analysis”, Biomedical Signal Processing and Control, 78(2022)：103893.
3.Jiayue Cai, Jowon L. Kim, Tobias R. Baumeister, Maria Zhu, Yuheng Wang, Aiping Liu, Soojin Lee, Martin J. McKeown,“A Multi-sequence MRI Study in Parkinson's Disease: Association Between Rigidity and Myelin”, Journal of Magnetic Resonance Imaging, 55(2):451-462, 2022.
4.Jiayue Cai, Yuheng Wang, Aiping Liu, Martin J. McKeown and Z. Jane Wang, “Novel Regional Activity Representation with Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation”, IEEE Transactions on Medical Imaging, 39(7): 2363-2373, 2020.
5.Jiayue Cai, Aiping Liu, Taomian Mi, Saurabh Garg, Wade Trappe, Martin J. McKeown and Z. Jane Wang, “Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value”, IEEE Journal of Biomedical and Health Informatics, 23(4): 1720-1729, 2019.
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