Capsule Networks against Medical Imaging Data Challenges

Chapter 1 Blood-Flow Estimation in the Hepatic Arteries Based on 3D/2D Angiography Registration

Chapter 2 Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography

Chapter 3 Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning

Chapter 4 Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors

Chapter 5 Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network

Chapter 6 Generation of a HER2 Breast Cancer Gold-Standard Using Supervised Learning from Multiple Experts

Chapter 7 Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images

Chapter 8 Towards Automatic Measurement of Type B Aortic Dissection Parameters: Methods, Applications and Perspective

Chapter 9 Prediction of FFR from IVUS Images Using Machine Learning

Chapter 10 Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks

Chapter 11 An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images

Chapter 12 Crowd Disagreement About Medical Images Is Informative

Chapter 13 Imperfect Segmentation Labels: How Much Do They Matter?

Chapter 14 Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery

Chapter 15 Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling

Chapter 17 Capsule Networks Against Medical Imaging Data Challenges

Chapter 18 Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images

Chapter 19 Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos

Chapter 20 Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

Chapter 21 Improving Out-of-Sample Prediction of Quality of MRIQC