基本信息
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职业迁徙
个人简介
His research is focused on developing statistical machine learning and deep neural network methods for analyzing imaging modalities in computer vision, machine learning, and medical imaging. On the technical side, he develops algorithms for cross-sectional and sequential data from small to large scales with statistical machine learning and deep learning models. On the application side, his interests range from neuroscientific discoveries including understanding the pathological progression of Alzheimer’s disease to machine learning/computer vision applications.
pecific Research Interests:
Medical imaging analysis (MRI, PET, DTI) for neurodegenerative disease (e.g., Alzheimer’s disease)
Computer vision and machine learning applications (e.g., video classification, sequence prediction, uncertainty estimation)
Deep learning methods (e.g., sequential neural networks, generative models)
pecific Research Interests:
Medical imaging analysis (MRI, PET, DTI) for neurodegenerative disease (e.g., Alzheimer’s disease)
Computer vision and machine learning applications (e.g., video classification, sequence prediction, uncertainty estimation)
Deep learning methods (e.g., sequential neural networks, generative models)
研究兴趣
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arxiv(2024)
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arxiv(2024)
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CVPR 2024 (2024)
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arxiv(2024)
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MEDICAL IMAGE ANALYSIS (2023): 102926-102926
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