Handbook of biomedical imaging : methodologies and clinical research / edited by Nikos Paragios, James Duncan, Nicholas Ayache.

Springer eBooks

Object Segmentation and Markov Random Fields -- Fuzzy methods in medical imaging -- Curve Propagation, Level Set Methods and Grouping -- Kernel Methods in Medical Imaging -- Geometric Deformable Models: Overview and Recent Developments -- Active Shape and Appearance Models -- Statistical Atlases -- Statistical Computing on Non-Linear Spaces for Computational Anatomy -- Building Patient-Specific Physical and Physiological Computational Models from Medical Images -- Constructing a Patient-Specific Model Heart from CT Data -- Image-based haemodynamics simulation in intracranial aneursyms -- Atlas-based Segmentation -- Integration of Topological Constraints in Medical Image Segmentation -- Monte Carlo Sampling for the Segmentation of Tubular Structures -- Non-rigid registration using free-form deformations -- Image registration using mutual information -- Physical Model Based Recovery of Displacement and Deformations from 3D medical images -- Cardiovascular Informatics -- Rheumatoid Arthritis Quantifiction using Appearance Models -- Medical Image Processing for Analysis of Colon Motility -- Segmentation of Diseased Livers: A 3D Refinement Approach -- Intra and inter subject analyses of brain functional Magnetic Resonance Images (fMRI) -- Diffusion Tensor Estimation, Regularization and Classification -- From Local Q-Ball Estimation to Fibre Crossing Tractography -- Segmentation of clustered cells in microscopy images by geometric PDEs and level sets -- Atlas-based whole-body registration in mice.

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