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nakita69

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虫号: 2571906
注册: 2013-07-30
专业: 医学图像数据处理与分析

[交流] 加拿大多伦多大学Dr. Farzad Khalvati招收AI for Medical Imaging CSC联培博士和博士

Dr. Farzad Khalvati (Assistant Professor, University of Toronto) is accepting CSC visiting PhD students and CSC PhD students in AI for Medical Imaging. Dr. Khalvati’s lab is located at University of Toronto’s research hospital and his research is focused on advanced AI technologies in Medical Imaging for cancer diagnosis and prognosis. The students may enroll in Medical Science (Institute of Medical Science - IMS) or Industrial Engineering (Department of Mechanical and Industrial Engineering). The candidates are expected to have sufficient background in machine (deep) learning and medical image analysis. If you are interested in joining the state-of-the-art research in AI and Medical Imaging, please send your CV to Dr. Khalvati.
Email address: farzad.khalvati@utoronto.ca.

A brief introduction to Dr. Farzad Khalvati’s research.
Dr. Farzad Khalvati is an Assistant Professor in the Department of Medical Imaging with cross-appointment to the Department of Mechanical and Industrial Engineering at the University of Toronto, and an Affiliate Scientist at TECHNA Institute. His research expertise and interests are multidisciplinary and include Artificial Intelligence (Transfer Learning, Attention Networks, CNN-based Survival Analysis, Multi-task Learning), Computer Vision, Discovery Radiomics, Computational Diffusion MRI, Decision Support Systems, High Performance Computing, and Human-AI Interface with wide applications in Medical Imaging and Precision Medicine. Dr. Khalvati is an active researcher in the field and he has produced more than 100 peer-reviewed publications (journal papers, patents, book chapters, conference full papers and abstracts).

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