고려대학교 뇌공학과

This is to inform of Prof. Shen`s lecture on Medical Image Computing lectures.

If you are interested, please see the following for your information.

 

- Date : July. 28(Mon.)~31(Thurs.)

- Time : 10:00~ 12:00

- Place : Room 601, Woo Jung bldg.

※ There will be 2 classes on Monday and Wednesday and 2 Q&A sessions on Tuesday and Thursday (see attached).

- The lecture will be prepared in ppt files and please find the following reading list for the reference.

Reading list:

·         Deep learning reading materials:

http://deeplearning.net/reading-list/

 

·         Support Vector Machines Applications

http://www.springer.com/engineering/signals/book/978-3-319-02299-4

o    “Support Vector Machines for Neuroimage Analysis: Interpretation from Discrimination”, Support Vector Machines Applications, Springer, 2014. [Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen]

 

·         Computational Intelligence in Biomedical Imaging

http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-1-4614-7244-5

o    “Brain Disease Classification and Progression Using Machine Learning Techniques", Computational Intelligence in Biomedical Imaging, Springer, 2012. [Bo Cheng, Chong-Yaw Wee, Manhua Liu, Daoqiang Zhang, and Dinggang Shen]

 

·         Atam P. Dhawan. “Medical Image Analysis”, Wiley, 2011.

 

Ref. : Prof. Shen`s website at http://www.med.unc.edu/~dgshen/

 

Dept. of Brain and Cognitive Engineering