Chapter 1 N3 Bias Field Correction Explained as a Bayesian Modeling Method

Chapter 3 Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine

Chapter 4 Physiologically Informed Bayesian Analysis of ASL fMRI Data

Chapter 5 Bone Reposition Planning for Corrective Surgery Using Statistical Shape Model: Assessment of Differential Geometrical Features

Chapter 6 An Inference Language for Imaging

Chapter 7 An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation

Chapter 8 Learning Imaging Biomarker Trajectories from Noisy Alzheimer’s Disease Data Using a Bayesian Multilevel Model

Chapter 9 Four Neuroimaging Questions that P-Values Cannot Answer (and Bayesian Analysis Can)

Chapter 10 Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies.

Chapter 11 A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions