Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks.
Yue QiuQiu-Hua LinLi-Dan KuangWen-Da ZhaoXiao-Feng GongFengyu CongVince D. CalhounPublished in: ISNN (2) (2019)
Keyphrases
- healthy controls
- complex valued
- normal controls
- functional magnetic resonance imaging
- convolutional neural networks
- real valued
- fold cross validation
- traumatic brain injury
- feature extraction
- pattern classification
- independent component analysis
- decision trees
- pattern recognition
- classification accuracy
- recurrent neural networks
- blind source separation
- feature selection
- support vector
- mild cognitive impairment
- multi valued
- feature space
- image classification
- correlation analysis
- feature vectors
- linear equations
- class labels
- brain activity
- face recognition
- medical images
- human brain
- human subjects
- brain images
- training set
- machine learning
- data analysis
- support vector machine svm
- signal processing