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Bayesian and grAphical Models for Biomedical Imaging

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Cover of 'Bayesian and grAphical Models for Biomedical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 N3 Bias Field Correction Explained as a Bayesian Modeling Method
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    Chapter 2 A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging
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    Chapter 3 Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine
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    Chapter 4 Physiologically Informed Bayesian Analysis of ASL fMRI Data
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    Chapter 5 Bone Reposition Planning for Corrective Surgery Using Statistical Shape Model: Assessment of Differential Geometrical Features
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    Chapter 6 An Inference Language for Imaging
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    Chapter 7 An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation
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    Chapter 8 Learning Imaging Biomarker Trajectories from Noisy Alzheimer’s Disease Data Using a Bayesian Multilevel Model
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    Chapter 9 Four Neuroimaging Questions that P-Values Cannot Answer (and Bayesian Analysis Can)
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    Chapter 10 Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies.
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    Chapter 11 A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions
Attention for Chapter 4: Physiologically Informed Bayesian Analysis of ASL fMRI Data
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