Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Chapter 1 Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases

Chapter 2 BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases

Chapter 3 LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images

Chapter 4 Landmark-Based Alzheimer’s Disease Diagnosis Using Longitudinal Structural MR Images

Chapter 5 Inferring Disease Status by Non-parametric Probabilistic Embedding

Chapter 6 A Lung Graph–Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images

Chapter 7 Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study

Chapter 8 Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker

Chapter 9 Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation

Chapter 10 Automatic Detection of Histological Artifacts in Mouse Brain Slice Images

Chapter 11 Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features

Chapter 12 Representation Learning for Cross-Modality Classification

Chapter 13 Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound

Chapter 14 A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images

Chapter 15 Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data

Chapter 16 Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields

Chapter 17 Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data

Chapter 19 Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation