Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis: ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected PapersAuthor: Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic Published by Springer Berlin Heidelberg ISBN: 978-3-540-22675-8 DOI: 10.1007/b98995Table of Contents:Ultrasound Stimulated Vibro-acoustography CT from an Unmodified Standard Fluoroscopy Machine Using a Non-reproducible Path Three-Dimensional Object Reconstruction from Compton Scattered Gamma-Ray Data Cone-Beam Image Reconstruction by Moving Frames AQUATICS Reconstruction Software: The Design of a Diagnostic Tool Based on Computer Vision Algorithms Towards Automatic Selection of the Regularization Parameters in Emission Tomgraphy by Fourier Synthesis Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors Symmetric Geodesic Shape Averaging and Shape Interpolation Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering Level Set and Region Based Surface Propagation for Diffusion Tensor MRI Segmentation The Beltrami Flow over Triangulated Manifolds Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space Segmentation of Medical Images with a Shape and Motion Model: A Bayesian Perspective A Multi-scale Geometric Flow for Segmenting Vasculature in MRI A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images Automatic Rib Segmentation in CT Data Efficient Initialization for Constrained Active Surfaces, Applications in 3D Medical Images An Information Fusion Method for the Automatic Delineation of the Bone-Soft Tissues Interface in Ultrasound Images Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials, "The 2004 Computer Vision Approaches to Medical Image Analysis (CVAMIA) and Mathematical Methods in Biomedical Image Analysis (MMBIA) Workshop was held in conjunction with the 8th European Conference on Computer Vision (ECCV) in Prague, on May 15, 2004"--Pref