Biomedical Image Analysis, Pattern Recognition, Machine Learning, Computer Vision
- I. Donovan*, K. Valenzuela*, A. Ortiz*, S. Dusheko*, H. Jing, K. Okada, X. Zhang, MyoHMI: A Low-Cos and Flexible Platform for Developing Real-Time Human Machine Interface for Myoelectric Controlled Applications, In proc. IEEE Int Conf System, Man and Cybernetics (SMC), 2016
- K. Okada, S. Rysavy*, A. Flores*, MG. Linguraru, Noninvasive differential diagnosis of dental periapical lesions in cone-beam CT scans, Medical Physics, 42(4): 1653-1665 (2015)
- K. Okada, M. Golbaz*, A. Mansoor, GF. Perez, K. Pancham, A. Khan, G. Nino, MG. Linguraru, Severity Quantification of Pediatric Viral Respiratory Illnesses in Chest X-Ray Images, In proc. IEEE Eng. Med. Biol. Soc. (EMBC), Invited Paper, Milan, 2015
- Q. Zhao*, K. Okada, K. Rosenbaum, M. Summar, MG. Linguraru, Constrained Local Model with Independent Component Analysis with Kernel Density Estimation: Application to Down Syndrome Detection, In Prof. IEEE Int. Symp. Biomed. Imaging. (ISBI), 967-970, New York, 2015
EA. Simpson, KV, Jakobsen, DM. Fragaszy, K. Okada, JE. Frick, The development of facial identity discrimination through learned attention, Developmental Psychobiology, 56(5): 1083-1101 (2014)
J. Hung*, J. Collins*, M. Weldetsion*, O. Newland*, E. Chiang*, K. Okada, Protein crystallization image classification with elastic net, In proc. SPIE Medical Imaging, San Diego, 2014
- Ken Fong Translational Research Fund, San Francisco State University (2016), Integrating Grid Sensing and Machine Learning for Neural-Controlled Artificial Arms, role: PI with PI Xiaorong Zhang (funded $20000)
- Center for Advancing Women for Technology (2016), Improving Diversity in the Computing Industry; Attracting Female Biology Students to Computer Science, Role: Co-PI with PI Dr. Yoon and Co-PIs Drs Kulkarni, Pennings and Domingo, Funded $354,450.
- Pilot Research Awards for Faculties of Children’s National and the George Washington University, Clinical and Translational Science Institute at Children’s National (2015), Molecular, Clinical and Imaging Biomarkers of Severity of Viral Respiratory Illness in Children, Role: Consultant, with Co-PI Dr. Gustavo Nino, Co-PI Dr. Marius G. Linguraru. Funded $49,975.
- NSF TUES program (2012-2015), Collaborative Research: Transforming the Understanding, Assessment and Prediction of Teamwork Effectiveness in Software Engineering Education using Machine Learning, role: Co-PI, with PI D. Petkovic and co-PI S. Huang (Florida Atlantic Univ), Total Fund $199,696