A Novel Deep Learning Method for Predicting Epilepsy
Deep learning has been successfully used in many applications such as computer vision, automatic speech recognition, natural language processing, audio recognition, and medical imaging processing and disease diagnosis. Recently, our group has designed a method to detect a type of epilepsy - benign epilepsy with centrotemporal spikes, which is the most popular epilepsy with children. In our method, we use three sources of data: hand-crafted features from MRI images based on doctors’ knowledge, 3D MRI images and 4D functional MRI images. The final prediction decision is obtained by fusing the three prediction results through another neural network. Our idea is to take advantages of all three data sources which have different strengths and important features to achieve the best prediction results. We have done many experiments which show that the proposed method is truly better than any existing prediction method. Future improvement including how to use more data sources will also be outlined in this talk.
Yi Pan is currently a Regents’ Professor and Chair of Computer Science at Georgia State University, USA. He has served as an Associate Dean and Chair of Biology Department during 2013-2017 and Chair of Computer Science during 2006-2013. Dr. Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991. His profile has been featured as a distinguished alumnus in both Tsinghua Alumni Newsletter and University of Pittsburgh CS Alumni Newsletter. Dr. Pan's research interests include parallel and cloud computing, wireless networks, and bioinformatics. Dr. Pan has published more than 200 journal papers with over 80 papers published in various IEEE journals. In addition, he has published over 150 papers in refereed conferences. He has also co-authored/co-edited 43 books. His work has been cited more than 8000 times. Dr. Pan has served as an editor-in-chief or editorial board member for 15 journals including 7 IEEE Transactions. He is the recipient of many awards including IEEE Transactions Best Paper Award, several other conference and journal best paper awards, 4 IBM Faculty Awards, 2 JSPS Senior Invitation Fellowships, IEEE BIBE Outstanding Achievement Award, NSF Research Opportunity Award, and AFOSR Summer Faculty Research Fellowship.