第62回日本神経学会学術大会

第62回日本神経学会学術大会

2021年5月19日〜5月22日国立京都国際会館
日本神経学会学術大会
第62回日本神経学会学術大会

第62回日本神経学会学術大会

2021年5月19日〜5月22日国立京都国際会館

[NFS-02-5]Deep learning of medical imaging data for early prediction of Alzheimer's disease dementia

Yong Fan(Perelman School of Medicine, University of Pennsylvania)
photo
Dr. Yong Fan is an Associate Professor with tenure in the Department of Radiology at the University of Pennsylvania School of Medicine. Dr. Fan was trained as a mathematician and later received a PhD in pattern recognition and medical image analysis. He has a broad background in medical image analysis and pattern recognition, with specific training in applied mathematics, statistics, and machine learning. His research focuses on the general field of artificial intelligence, with emphasis on machine learning methods applied to complex and large imaging and clinical data. He is developing image analytic methods of functional connectomics, radiomics and radiogenomics, image registration and segmentation, and personalized neuromodulatory therapies, with applications in clinical neuroscience, cancer, and chronic kidney disease, aiming to develop precision diagnostic tools using machine learning and pattern analysis.

閲覧にはパスワードが必要です

抄録パスワードを入力してください。
パスワードは抄録集に記載してあります。