Machine learning for clinical diagnosis from functional magnetic resonance imaging

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1; pp. 1211 - 1217 vol. 1
• Main Authors: Lei Zhang, Samaras, D., Tomasi, D., Volkow, N., Goldstein, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Boosting; Brain; Clinical diagnosis; Humans; Information analysis; Learning systems; Machine learning; Machine learning algorithms; Magnetic analysis; Magnetic resonance imaging

Functional magnetic resonance imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing brain activations. Standard techniques for fMRI analysis traditionally focused on finding the area of most significant br...