Simulation and Synthesis in Medical Imaging

Chapter 1 Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks

Chapter 2 Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI

Chapter 3 Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation

Chapter 4 Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN

Chapter 5 A Machine Learning Approach to Diffusion MRI Partial Volume Estimation

Chapter 6 Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks

Chapter 7 Deep Boosted Regression for MR to CT Synthesis

Chapter 8 Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia

Chapter 10 Tubular Network Formation Process Using 3D Cellular Potts Model

Chapter 11 Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images

Chapter 12 Lung Nodule Synthesis Using CNN-Based Latent Data Representation

Chapter 13 RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours

Chapter 14 Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models