Brain Neural Connectome Analysis

Sponsored by UST Graduate Programs in Software, School of Engineering

Publications and Patents

Selected Publications:

Jianping Wu, Chih Lai, Matthew Beckman, Robert Raike, Rahul Gupta, Aviva Abosch, Dwight Nelson, "Video-Motion Detection for Objectively Quantifying Movements in Patients with Parkinson’s Disease", 17th International Congress of Parkinson’s Disease and Movement Disorders, Syndey, Australia, (June 2013).

C. Lai, T. Rafa, D. Nelson, “Approximate Minimum Spanning Tree Clustering in High Dimensional Space”, Journal of Intelligent Data Analysis, Volume 13(4), pp575-597, August, 2009.

C. Lai, T. Rafa, D. Nelson, “Mining Motion Patterns using Color Motion Map Clustering”, ACM SIGKDD Explorations, Vol. 8, No. 2, pp3-10, December 2006.

C. Lai, T. Rafa, D. Nelson, “Mining Motion Patterns using Color Motion Map Clustering”, ACM Multimedia Data Mining, Philadelphia, August, 2006, (Best Paper). 

Position Papers:

J. Ommen, C. Lai and Y. Yang, “Big Graph Analytics of Human Connectome Networks” (Abstract), SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, March 2015.

Patents:

Motion Analysis for Behavior Identification”, Inventor: Chih Lai, et al.with Medtronic Co.,
               Pending U.S. Patents, November 2013.

Motion-Based Behavior Identification for Controlling Therapy”, Inventor: Chih Lai, et al.with Medtronic Co.,
               Pending U.S. Patents, November 2013.

Detection and removal of self-alerts in an airborne tracking system”, Inventor: Chih Lai,
               U.S. Patent, 6-594-578, July 15 2003. Europe Patent, EP1299747, March 4 2003.

Method for determining conflicting paths between mobile airborne vehicles and associated system and computer software program product”, Inventor: Chih Lai,
               U.S. Patent, 6-564-149, May 13 2003. Europe Patent, EP1299742, March 4 2003.

Multisource target correlation”, Inventor: Chih Lai, U.S. Patent, 6-542-810, April 1 2003.
               Europe Patent, EP1374205, January 2 2004.