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Riemannian Geometric Statistics in Medical Image Analysis
Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Beyond medical image computing, the methods described in this book may also apply to other domains such as sign...
Information Processing in Medical Imaging
This book constitutes the refereed proceedings of the 17th International Conference on Information Processing in Medical Imaging, IPMI 2001, held in Davis, CA, USA, in June 2001. The 54 revised papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on objective assessment of image quality, shape modeling, molecular and diffusion tensor imaging, registration and structural analysis, functional image analysis, fMRI/EEG/MEG, deformable registration, shape analysis, and analysis of brain structure.
Shapes and Diffeomorphisms
This book covers mathematical foundations and methods for the computerized analysis of shapes, providing the requisite background in geometry and functional analysis and introducing various algorithms and approaches to shape modeling, with a special focus on the interesting connections between shapes and their transformations by diffeomorphisms. A direct application is to computational anatomy, for which techniques such as large‒deformation diffeomorphic metric mapping and metamorphosis, among others, are presented. The appendices detail a series of classical topics (Hilbert spaces, differential equations, Riemannian manifolds, optimal control). The intended audience is applied mathematici...
Pattern Theory
Pattern Theory: From Representation to Inference provides a comprehensive and accessible overview of the modern challenges in signal, data and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science and electrical engineering with a good background in mathematics and probability, the text includes numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short overview of pattern theory and the basics of statistics and estimation...
From Multiculturalism to Hybridity
Places Switzerland within the context of transnational labor migration and examines how this German-, French-, Italian-, and Romansh- speaking nation is being transformed by the influx of migrants from all over the world who now constitute a fifth of the population.
Fourth IEEE Southwest Symposium on Image Analysis and Interpretation
From down where the computer--or at least the computer images--are bigger than elsewhere, 59 papers cover segmentation; stereo image analysis; multiresolution, multispectral, and multidimensional analysis; biomedical and color image analysis; and features and invariants. Texts of the two keynotes are not included. A large poster session generated papers on such topics as a neural network approach to geographic image analysis, determining camera position through the Karhunen-Loeve transform, the efficient indexing of multi-color sets for content-based image retrieval, characterizing skin lesion texture in diffuse reflectance spectroscopic images, the knowledge-based extraction of roads from satellite images with one-meter resolution, detecting seat occupation inside vehicles, and segmentation by color space transformation prior to lifting and integer wavelet transformation for efficient lossless coding and transmission. Only authors are indexed. Annotation copyrighted by Book News, Inc., Portland, OR.
