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个人简介
Dr. Fan has a broad background in medical image analysis and pattern recognition, with specific training in applied mathematics, statistics, and machine learning.
His research interests are in the field of imaging analytics, machine learning, pattern recognition, and more generally in computational imaging. Much of his work has been focusing on methodology development and applications of machine learning techniques that quantify morphology and function from medical images, integrate multimodal information to aid diagnosis and prediction of clinical outcomes, and guide personalized treatments. The methodological focus has been on the general field of artificial intelligence, with emphasis on machine learning methods applied to complex and large imaging and clinical data. The image analytic methods being and to be developed include functional connectomics, radiomics, image registration and segmentation, and personalized neuromodulatory therapies. On the clinical side, his primary focus is on applications in clinical neuroscience, in cancer, and in chronic kidney disease, aiming to develop precision diagnostic tools using machine learning and pattern recognition techniques. The clinical research studies include brain development, brain diseases such as Alzheimer's, schizophrenia, depression, and addiction, pediatric kidney diseases, and predictive modeling of treatment outcomes of cancer patients such as rectal and lung cancers.
His research interests are in the field of imaging analytics, machine learning, pattern recognition, and more generally in computational imaging. Much of his work has been focusing on methodology development and applications of machine learning techniques that quantify morphology and function from medical images, integrate multimodal information to aid diagnosis and prediction of clinical outcomes, and guide personalized treatments. The methodological focus has been on the general field of artificial intelligence, with emphasis on machine learning methods applied to complex and large imaging and clinical data. The image analytic methods being and to be developed include functional connectomics, radiomics, image registration and segmentation, and personalized neuromodulatory therapies. On the clinical side, his primary focus is on applications in clinical neuroscience, in cancer, and in chronic kidney disease, aiming to develop precision diagnostic tools using machine learning and pattern recognition techniques. The clinical research studies include brain development, brain diseases such as Alzheimer's, schizophrenia, depression, and addiction, pediatric kidney diseases, and predictive modeling of treatment outcomes of cancer patients such as rectal and lung cancers.
研究兴趣
论文共 351 篇作者统计合作学者相似作者
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Mamta Gupta,Hoon Choi,Emma E. Furth, Miguel Joaquim,Stephen Pickup,Cynthia Clendenin, Margo Orlen,Thomas Karasic,Hee Kwon Song,Yong Fan, Peter O'Dwyer,Robert H. Vonderheide,
CANCER RESEARCHno. 2 (2024)
Arielle S. Keller,Tyler M. Moore,Audrey Luo,Elina Visoki, Mārtiņš M. Gataviņš, Alisha Shetty,Zaixu Cui,Yong Fan,Eric Feczko,Audrey Houghton,Hongming Li,Allyson P. Mackey,
Yuncong Ma,Hongming Li,Zhen Zhou, Xiaoyang Chen, Liang Ma,Erus Guray, Nicholas L. Balderston,Desmond J. Oathes,Russell T. Shinohara,Daniel H. Wolf,Ilya M. Nasrallah,Haochang Shou,
biorxiv(2024)
Arielle Keller,Tyler M. Moore,Audrey Luo,Elina Visoki, Martins Gatavins, Alisha Shetty,Zaixu Cui,Yong Fan,Eric Feczko,Audrey Houghton,Hongming Li,Allyson P. Mackey,
Medical Imaging 2024: Image Processing (2024)
Nature Mental Healthno. 2 (2024): 164-176
CANCER RESEARCHno. 2 (2024)
Yuncong Ma,Hongming Li,Zhen Zhou, Xiaoyang Chen, Liang Ma,Erus Guray, Nicholas L. Balderston,Desmond J. Oathes,Russell T. Shinohara,Daniel H. Wolf,Ilya M. Nasrallah,Haochang Shou,
crossref(2024)
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