Machine Learning and Medical Imaging (Hardcover)

Part 1: Cutting-Edge Machine Learning Techniques in Medical Imaging

Chapter 1: Functional connectivity parcellation of the human brain

Chapter 2: Kernel machine regression in neuroimaging genetics

Chapter 3: Deep learning of brain images and its application to multiple sclerosis

Chapter 4: Machine learning and its application in microscopic image analysis

Chapter 5: Sparse models for imaging genetics

Chapter 6: Dictionary learning for medical image denoising, reconstruction, and segmentation

Chapter 7: Advanced sparsity techniques in magnetic resonance imaging

Chapter 8: Hashing-based large-scale medical image retrieval for computer-aided diagnosis

Part 2: Successful Applications in Medical Imaging

Chapter 9: Multitemplate-based multiview learning for Alzheimer’s disease diagnosis

Chapter 10: Machine learning as a means toward precision diagnostics and prognostics

Chapter 11: Learning and predicting respiratory motion from 4D CT lung images

Chapter 12: Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?

Chapter 13: From point to surface: Hierarchical parsing of human anatomy in medical images using machine learning technologies

Chapter 14: Machine learning in brain imaging genomics

Chapter 15: Holistic atlases of functional networks and interactions (HAFNI)

Chapter 16: Neuronal network architecture and temporal lobe epilepsy: A connectome-based and machine learning study