Patch-Based Techniques in Medical Imaging

Chapter 1 Learning Real Noise for Ultra-Low Dose Lung CT Denoising

Chapter 2 MRI Denoising Using Deep Learning

Chapter 3 MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching

Chapter 4 A Monte Carlo Framework for Denoising and Missing Wedge Reconstruction in Cryo-electron Tomography

Chapter 5 Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features

Chapter 6 Stereo Matching for Wireless Capsule Endoscopy Using Direct Attenuation Model

Chapter 7 Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework

Chapter 8 Using 1D Patch-Based Signatures for Efficient Cascaded Classification of Lung Nodules

Chapter 9 Predicting Future Bone Infiltration Patterns in Multiple Myeloma

Chapter 10 A Fast Automatic Juxta-pleural Lung Nodule Detection Framework Using Convolutional Neural Networks and Vote Algorithm

Chapter 11 LesionBrain: An Online Tool for White Matter Lesion Segmentation

Chapter 12 Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis

Chapter 13 A Patch-Based Segmentation Approach with High Level Representation of the Data for Cortical Sulci Recognition

Chapter 14 Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation

Chapter 15 Iterative Deep Retinal Topology Extraction