Machine learning and medical imaging / Guorong Wu, Dinggang Shen, Mert R. Sabuncu

Functional connectivity parcellation of the human brain-- Kernel machine regression in neuroimaging genetics-- Deep learning of brain images and its application to multiple sclerosis-- Machine learning and its application in microscopic image analysis-- Sparse models for imaging genetics-- Dictionary learning for medical image denoising, reconstruction, and segmentation-- Advanced sparsity techniques in magnetic resonance imaging-- Hashing-based large-scale medical image retrieval for computer-aided diagnosis-- Multitemplate-based multiview learning for alzheimer's disease diagnosis-- Machine learning as a means toward precision diagnostics and prognostics-- Learning and predicting respiratory motion from 4D CT lung images-- Learning pathological deviations from a normal pattern of myocardial motion: added value for CRT studies?-- From point to surface: hierarchical parsing of human anatomy in medical images using machine learning technologies-- Machine learning in brain imaging genomics-- Holistic atlases of functional networks and interactions (HAFNI)-- Neuronal network architecture and temporal lobe epilepsy: a connectome-based and machine learning study