基本信息
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Bio
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.
Research Interests
Papers共 337 篇Author StatisticsCo-AuthorSimilar Experts
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Jijomon Chettuthara Moncy,Yong H.Y. Fan,Rachel D Woodham,Ali-Reza Ghazi-Noori, Hakimeh Rezaei, Wenyi Xiao,Elvira Bramon,Philipp Ritter,Michael Bauer,Allan H Young,Cynthia H.Y. Fu
medrxiv(2024)
crossref(2024)
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)
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 : the preprint server for biology (2024)
NEUROENDOCRINOLOGYno. 3 (2024): 250-262
Medical Imaging 2024: Image Processing (2024)
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Author Statistics
#Papers: 348
#Citation: 11650
H-Index: 49
G-Index: 103
Sociability: 8
Diversity: 0
Activity: 5
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