Deep learning for medical image analysis/ Kevin Zhou

Chapter 1 - An Introduction to Neural Networks and Deep Learning

Chapter 2 - An Introduction to Deep Convolutional Neural Nets for Computer Vision

Chapter 3 - Efficient Medical Image Parsing

Chapter 4 - Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition

Chapter 5 - Automatic Interpretation of Carotid Intima–Media Thickness Videos Using Convolutional Neural Networks

Chapter 6 - Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images

Chapter 7 - Deep Voting and Structured Regression for Microscopy Image Analysis

Chapter 8 - Deep Learning Tissue Segmentation in Cardiac Histopathology Images

Chapter 9 - Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching

Chapter 10 - Characterization of Errors in Deep Learning-Based Brain MRI Segmentation

Chapter 11 - Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

Chapter 12 - Convolutional Neural Networks for Robust and Real-Time 2-D/3-D Registration

Chapter 13 - Chest Radiograph Pathology Categorization via Transfer Learning
I
Chapter 14 - Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions

Chapter 15 - Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease

Chapter 16 - Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis

Chapter 17 - Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning