A multi-voxel-activity-based feature selection method for human cognitive states classification by functional magnetic resonance imaging data

LN Do, HJ Yang, SH Kim, GS Lee, SH Kim - Cluster Computing, 2015 - Springer
Nowadays, various kinds of signals and data were collected to investigate human brain's
activities for disease detection. In particular, the functional magnetic resonance imaging …

A robust feature selection method for classification of cognitive states with fmri data

LN Do, HJ Yang - Advances in Computer Science and its Applications …, 2014 - Springer
The functional magnetic resonance imaging (fMRI) technique is a powerful imaging tool for
analyzing the brain activity by localizing patterns of activity related to specific mental …

[PDF][PDF] Classifying instantaneous cognitive states from fmri using discriminant based feature selection and adaboost

TD Vu, HJ Yang, LN Do, TN Thieu - Smart Media Journal, 2016 - scholar.archive.org
In recent decades, the study of human brain function has dramatically increased thanks to
the advent of Functional Magnetic Resonance Imaging. This is a powerful tool which …

[PDF][PDF] Classification of Cognitive States from fMRI data using Fisher Discriminant Ratio and Regions of Interest.

LN Do, HJ Yang - International Journal of Contents, 2012 - pdfs.semanticscholar.org
In recent decades, analyzing the activities of human brain achieved some accomplishments
by using the functional Magnetic Resonance Imaging (fMRI) technique. fMRI data provide a …

[引用][C] Cognitive States Detection in fMRI Data based on Multi-Voxel Activity

LN Do, HQ Nguyen, HJ Yang - 한국콘텐츠학회ICCC 논문집, 2013 - dbpia.co.kr
The functional magnetic resonance imaging (fMRI) is one of the most conventional
techniques for analyzing human brain's activity. Thistechnique is performed using blood …