Rate My Professor Dagan Feng

Feng specialized in biomedical and multimedia information technology, functional imaging, biomedical systems modeling, medical image analysis, and machine learning for healthcare imaging. He published over 1,000 scholarly papers, including highly cited works such as Medical image classification with convolutional neural network (2014), Accelerating magnetic resonance imaging via deep learning (2016), Fundamentals of content-based image retrieval (2003), Early diagnosis of Alzheimer's disease with deep learning (2014), and Multimodal neuroimaging feature learning for multiclass diagnosis of Alzheimer's disease (2014). His research has exceeded 25,000 citations. Feng received the Crump Prize for Excellence in Medical Engineering from UCLA and was a Fellow of the IEEE, Australian Computer Society, Hong Kong Institution of Engineers, Institution of Engineering and Technology, and Australian Academy of Technological Sciences and Engineering. He served as Special Area Editor for IEEE Transactions on Information Technology in Biomedicine, Vice-Chair and Chair of the IFAC Technical Committee on Biological and Medical Systems, and delivered over 100 keynote presentations worldwide while organizing numerous international conferences.