Información del autor
Autor Hans Hagen |
Documentos disponibles escritos por este autor (5)
Refinar búsquedaTopological Methods in Data Analysis and Visualization / SpringerLink (Online service) ; Valerio Pascucci ; Xavier Tricoche ; Hans Hagen ; Julien Tierny (2011)
Título : Topological Methods in Data Analysis and Visualization : Theory, Algorithms, and Applications Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Valerio Pascucci ; Xavier Tricoche ; Hans Hagen ; Julien Tierny Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2011 Colección: Mathematics and Visualization, ISSN 1612-3786 Número de páginas: VIII, 260 p Il.: online resource ISBN/ISSN/DL: 978-3-642-15014-2 Idioma : Inglés (eng) Palabras clave: Mathematics Computer graphics Visualization Geometry Topology Computational intelligence Mechanical engineering Graphics Engineering Intelligence Clasificación: 51 Matemáticas Resumen: Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoretical foundations of topological models, algorithmic issues related to the representation power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topological information, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 "TopoInVis" workshop in Snowbird, Utah, follows the two successful workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany) Nota de contenido: Foundations of Computational Topology -- Hierarchical Topological Data-Structures -- Topological Feature Extraction Algorithms -- Applications in Scientific Data Analysis and Visualization -- Topological Analysis of Large-Scale Scientific Data -- Indices En línea: http://dx.doi.org/10.1007/978-3-642-15014-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33376 Topological Methods in Data Analysis and Visualization : Theory, Algorithms, and Applications [documento electrónico] / SpringerLink (Online service) ; Valerio Pascucci ; Xavier Tricoche ; Hans Hagen ; Julien Tierny . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2011 . - VIII, 260 p : online resource. - (Mathematics and Visualization, ISSN 1612-3786) .
ISBN : 978-3-642-15014-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer graphics Visualization Geometry Topology Computational intelligence Mechanical engineering Graphics Engineering Intelligence Clasificación: 51 Matemáticas Resumen: Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoretical foundations of topological models, algorithmic issues related to the representation power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topological information, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 "TopoInVis" workshop in Snowbird, Utah, follows the two successful workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany) Nota de contenido: Foundations of Computational Topology -- Hierarchical Topological Data-Structures -- Topological Feature Extraction Algorithms -- Applications in Scientific Data Analysis and Visualization -- Topological Analysis of Large-Scale Scientific Data -- Indices En línea: http://dx.doi.org/10.1007/978-3-642-15014-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33376 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Topology-based Methods in Visualization Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Helwig Hauser ; Hans Hagen ; Holger Theisel Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Colección: Mathematics and Visualization, ISSN 1612-3786 Número de páginas: X, 222 p Il.: online resource ISBN/ISSN/DL: 978-3-540-70823-0 Idioma : Inglés (eng) Palabras clave: Mathematics Computer graphics Visualization Topology Graphics Clasificación: 51 Matemáticas Resumen: Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued. Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly. There are currently new demands for and renewed interest in topology-based visualization solutions. This book presents 13 peer-reviewed papers as written results from the 2005 workshop “Topology-Based Methods in Visualization” that was initiated to enable additional stimulation in this field. It contains a longer chapter dedicated to a survey of the state-of-the-art, as well as a great deal of original work by leading experts that has not been published before, spanning both theory and applications. It captures key concepts and novel ideas and serves as an overview of current trends in topology-based visualization research Nota de contenido: Topology-Based Flow Visualization, The State of the Art -- Topology-guided Visualization of Constrained Vector Fields -- Scale-Space Tracking of Critical Points in 3D Vector Fields -- Feature Flow Fields in Out-of-Core Settings -- Streamline Predicates as Flow Topology Generalization -- Topology-based versus Feature-based Flow Analysis – Challenges and an Application -- Topology Based Flow Analysis and Superposition Effects -- On the Applicability of Topological Methods for Complex Flow Data -- Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data -- Simulation Methods for Advanced Design Engineering -- A Practical Approach to Two-Dimensional Scalar Topology -- On the Role of Topology in Focus+Context Visualization -- N-dimensional Data-Dependent Reconstruction Using Topological Changes En línea: http://dx.doi.org/10.1007/978-3-540-70823-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34655 Topology-based Methods in Visualization [documento electrónico] / SpringerLink (Online service) ; Helwig Hauser ; Hans Hagen ; Holger Theisel . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - X, 222 p : online resource. - (Mathematics and Visualization, ISSN 1612-3786) .
ISBN : 978-3-540-70823-0
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer graphics Visualization Topology Graphics Clasificación: 51 Matemáticas Resumen: Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued. Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly. There are currently new demands for and renewed interest in topology-based visualization solutions. This book presents 13 peer-reviewed papers as written results from the 2005 workshop “Topology-Based Methods in Visualization” that was initiated to enable additional stimulation in this field. It contains a longer chapter dedicated to a survey of the state-of-the-art, as well as a great deal of original work by leading experts that has not been published before, spanning both theory and applications. It captures key concepts and novel ideas and serves as an overview of current trends in topology-based visualization research Nota de contenido: Topology-Based Flow Visualization, The State of the Art -- Topology-guided Visualization of Constrained Vector Fields -- Scale-Space Tracking of Critical Points in 3D Vector Fields -- Feature Flow Fields in Out-of-Core Settings -- Streamline Predicates as Flow Topology Generalization -- Topology-based versus Feature-based Flow Analysis – Challenges and an Application -- Topology Based Flow Analysis and Superposition Effects -- On the Applicability of Topological Methods for Complex Flow Data -- Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data -- Simulation Methods for Advanced Design Engineering -- A Practical Approach to Two-Dimensional Scalar Topology -- On the Role of Topology in Focus+Context Visualization -- N-dimensional Data-Dependent Reconstruction Using Topological Changes En línea: http://dx.doi.org/10.1007/978-3-540-70823-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34655 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Visualization and Processing of Tensor Fields Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Joachim Weickert ; Hans Hagen Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2006 Colección: Mathematics and Visualization, ISSN 1612-3786 Número de páginas: XV, 481 p Il.: online resource ISBN/ISSN/DL: 978-3-540-31272-7 Idioma : Inglés (eng) Palabras clave: Mathematics Radiology Computer graphics Image processing Mathematical analysis Analysis (Mathematics) Visualization Differential geometry Imaging / Imaging, Vision, Pattern Recognition and Graphics Processing Vision Geometry Clasificación: 51 Matemáticas Resumen: Matrix-valued data sets - so-called second order tensor fields - have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is the first edited volume that presents the state-of-the-art in the visualization and processing of tensor fields. It contains some longer chapters dedicated to surveys and tutorials of specific topics, as well as a great deal of original work by leading experts that has not been published before. It serves as an overview for the inquiring scientist, as a basic foundation for developers and practitioners, and as as a textbook for specialized classes and seminars for graduate and doctoral students Nota de contenido: An Introduction to Tensors -- Feature Detection with Tensors -- Adaptive Structure Tensors and their Applications -- On the Concept of a Local Greyvalue Distribution and the Adaptive Estimation of a Structure Tensor -- Low-level Feature Detection Using the Boundary Tensor -- Diffusion Tensor Imaging -- An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond -- Random Noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections -- An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications -- Anatomy-Based Visualizations of Diffusion Tensor Images of Brain White Matter -- Variational Regularization of Multiple Diffusion Tensor Fields -- Higher Rank Tensors in Diffusion MRI -- Visualization of Tensor Fields -- Strategies for Direct Visualization of Second-Rank Tensor Fields -- Tensor Invariants and their Gradients -- Visualizing the Topology of Symmetric, Second-Order, Time-Varying Two-Dimensional Tensor Fields -- Degenerate 3D Tensors -- Locating Closed Hyperstreamlines in Second Order Tensor Fields -- Tensor Field Visualization Using a Metric Interpretation -- Tensor Field Transformations -- Symmetric Positive-Definite Matrices: From Geometry to Applications and Visualization -- Continuous Tensor Field Approximation of Diffusion Tensor MRI data -- Tensor Field Interpolation with PDEs -- Diffusion-Tensor Image Registration -- Image Processing Methods for Tensor Fields -- Tensor Median Filtering and M-Smoothing -- Mathematical Morphology on Tensor Data Using the Loewner Ordering -- A Local Structure Measure for Anisotropic Regularization of Tensor Fields -- Tensor Field Regularization using Normalized Convolution and Markov Random Fields in a Bayesian Framework -- PDEs for Tensor Image Processing En línea: http://dx.doi.org/10.1007/3-540-31272-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34936 Visualization and Processing of Tensor Fields [documento electrónico] / SpringerLink (Online service) ; Joachim Weickert ; Hans Hagen . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2006 . - XV, 481 p : online resource. - (Mathematics and Visualization, ISSN 1612-3786) .
ISBN : 978-3-540-31272-7
Idioma : Inglés (eng)
Palabras clave: Mathematics Radiology Computer graphics Image processing Mathematical analysis Analysis (Mathematics) Visualization Differential geometry Imaging / Imaging, Vision, Pattern Recognition and Graphics Processing Vision Geometry Clasificación: 51 Matemáticas Resumen: Matrix-valued data sets - so-called second order tensor fields - have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is the first edited volume that presents the state-of-the-art in the visualization and processing of tensor fields. It contains some longer chapters dedicated to surveys and tutorials of specific topics, as well as a great deal of original work by leading experts that has not been published before. It serves as an overview for the inquiring scientist, as a basic foundation for developers and practitioners, and as as a textbook for specialized classes and seminars for graduate and doctoral students Nota de contenido: An Introduction to Tensors -- Feature Detection with Tensors -- Adaptive Structure Tensors and their Applications -- On the Concept of a Local Greyvalue Distribution and the Adaptive Estimation of a Structure Tensor -- Low-level Feature Detection Using the Boundary Tensor -- Diffusion Tensor Imaging -- An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond -- Random Noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections -- An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications -- Anatomy-Based Visualizations of Diffusion Tensor Images of Brain White Matter -- Variational Regularization of Multiple Diffusion Tensor Fields -- Higher Rank Tensors in Diffusion MRI -- Visualization of Tensor Fields -- Strategies for Direct Visualization of Second-Rank Tensor Fields -- Tensor Invariants and their Gradients -- Visualizing the Topology of Symmetric, Second-Order, Time-Varying Two-Dimensional Tensor Fields -- Degenerate 3D Tensors -- Locating Closed Hyperstreamlines in Second Order Tensor Fields -- Tensor Field Visualization Using a Metric Interpretation -- Tensor Field Transformations -- Symmetric Positive-Definite Matrices: From Geometry to Applications and Visualization -- Continuous Tensor Field Approximation of Diffusion Tensor MRI data -- Tensor Field Interpolation with PDEs -- Diffusion-Tensor Image Registration -- Image Processing Methods for Tensor Fields -- Tensor Median Filtering and M-Smoothing -- Mathematical Morphology on Tensor Data Using the Loewner Ordering -- A Local Structure Measure for Anisotropic Regularization of Tensor Fields -- Tensor Field Regularization using Normalized Convolution and Markov Random Fields in a Bayesian Framework -- PDEs for Tensor Image Processing En línea: http://dx.doi.org/10.1007/3-540-31272-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34936 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Visualization in Medicine and Life Sciences Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Lars Linsen ; Hans Hagen ; Bernd Hamann Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2008 Colección: Mathematics and Visualization, ISSN 1612-3786 Número de páginas: X, 346 p. 162 illus., 35 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-540-72630-2 Idioma : Inglés (eng) Palabras clave: Medicine Pathology Computer graphics Bioinformatics Computational biology Mathematics Visualization Mathematical models & Public Health Medicine/Public Health, general Graphics Appl. in Life Sciences Modeling and Industrial Clasificación: 51 Matemáticas Resumen: Visualization technology has become a crucial component of medical and b- medical data processing and analysis. This technology complements tra- tional image processing methods as it allows scientists and practicing medical doctors to visually interact with large, high-resolution three-dimensional - age data. Further, an ever increasing number of new data acquisition me- ods is being used in medicine and the life sciences, in particular in genomics and proteomics. The book contains papers discussing some of the latest data processing and visualization techniques and systems for e?ective analysis of diverse, large, complex, and multi-source data. Internationally leading experts in the area of data visualization came - gether for a workshop dedicated to visualization in medicine and life sciences, held on the island of Rugen, ¨ Germany, in July 2006. About 40 participants presented state-of-the-art research on this topic. Research and survey papers were solicited and carefully refereed, resulting in this collection. The research topics covered by the papers in this book deal with these themes: • Segmentation and Feature Detection • Surface Extraction • Volume Visualization • Graph and Network Visualization • Visual Data Exploration • Multivariate and Multidimensional Data Visualization • Large Data Visualization The workshop was supported, in part, by the Deutsche Forschungsgeme- schaft (DFG) Nota de contenido: Surface Extraction Methods from Medical Imaging Data -- Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections -- A Topological Approach to Quantitation of Rheumatoid Arthritis -- 3D Visualization of Vasculature: An Overview -- 3D Surface Reconstruction from Endoscopic Videos -- Geometry Processing in Medical Applications -- A Framework for the Visualization of Cross Sectional Data in Biomedical Research -- Towards a Virtual Echocardiographic Tutoring System -- Supporting Depth and Motion Perception in Medical Volume Data -- Visualization of Multi-channel Medical Imaging Data -- Multimodal Image Registration for Efficient Multi-resolution Visualization -- A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations -- Vector and Tensor Visualization in Medical Applications -- Global Illumination of White Matter Fibers from DT-MRI Data -- Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres -- Visual Analysis of Bioelectric Fields -- MRI-based Visualisation of Orbital Fat Deformation During Eye Motion -- Visualizing Molecular Structures -- Visual Analysis of Biomolecular Surfaces -- BioBrowser — Visualization of and Access to Macro-Molecular Structures -- Visualization of Barrier Tree Sequences Revisited -- Visualizing Gene Expression Data -- Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data -- Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos En línea: http://dx.doi.org/10.1007/978-3-540-72630-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34332 Visualization in Medicine and Life Sciences [documento electrónico] / SpringerLink (Online service) ; Lars Linsen ; Hans Hagen ; Bernd Hamann . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2008 . - X, 346 p. 162 illus., 35 illus. in color : online resource. - (Mathematics and Visualization, ISSN 1612-3786) .
ISBN : 978-3-540-72630-2
Idioma : Inglés (eng)
Palabras clave: Medicine Pathology Computer graphics Bioinformatics Computational biology Mathematics Visualization Mathematical models & Public Health Medicine/Public Health, general Graphics Appl. in Life Sciences Modeling and Industrial Clasificación: 51 Matemáticas Resumen: Visualization technology has become a crucial component of medical and b- medical data processing and analysis. This technology complements tra- tional image processing methods as it allows scientists and practicing medical doctors to visually interact with large, high-resolution three-dimensional - age data. Further, an ever increasing number of new data acquisition me- ods is being used in medicine and the life sciences, in particular in genomics and proteomics. The book contains papers discussing some of the latest data processing and visualization techniques and systems for e?ective analysis of diverse, large, complex, and multi-source data. Internationally leading experts in the area of data visualization came - gether for a workshop dedicated to visualization in medicine and life sciences, held on the island of Rugen, ¨ Germany, in July 2006. About 40 participants presented state-of-the-art research on this topic. Research and survey papers were solicited and carefully refereed, resulting in this collection. The research topics covered by the papers in this book deal with these themes: • Segmentation and Feature Detection • Surface Extraction • Volume Visualization • Graph and Network Visualization • Visual Data Exploration • Multivariate and Multidimensional Data Visualization • Large Data Visualization The workshop was supported, in part, by the Deutsche Forschungsgeme- schaft (DFG) Nota de contenido: Surface Extraction Methods from Medical Imaging Data -- Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections -- A Topological Approach to Quantitation of Rheumatoid Arthritis -- 3D Visualization of Vasculature: An Overview -- 3D Surface Reconstruction from Endoscopic Videos -- Geometry Processing in Medical Applications -- A Framework for the Visualization of Cross Sectional Data in Biomedical Research -- Towards a Virtual Echocardiographic Tutoring System -- Supporting Depth and Motion Perception in Medical Volume Data -- Visualization of Multi-channel Medical Imaging Data -- Multimodal Image Registration for Efficient Multi-resolution Visualization -- A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations -- Vector and Tensor Visualization in Medical Applications -- Global Illumination of White Matter Fibers from DT-MRI Data -- Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres -- Visual Analysis of Bioelectric Fields -- MRI-based Visualisation of Orbital Fat Deformation During Eye Motion -- Visualizing Molecular Structures -- Visual Analysis of Biomolecular Surfaces -- BioBrowser — Visualization of and Access to Macro-Molecular Structures -- Visualization of Barrier Tree Sequences Revisited -- Visualizing Gene Expression Data -- Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data -- Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos En línea: http://dx.doi.org/10.1007/978-3-540-72630-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34332 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Visualization in Medicine and Life Sciences II : Progress and New Challenges Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Lars Linsen ; Hans Hagen ; Bernd Hamann ; Hans-Christian Hege Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2012 Otro editor: Imprint: Springer Colección: Mathematics and Visualization, ISSN 1612-3786 Número de páginas: VIII, 290 p. 132 illus., 116 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-21608-4 Idioma : Inglés (eng) Palabras clave: Mathematics Computer graphics Image processing Bioinformatics Computational biology mathematics Visualization Mathematical models Graphics Appl. in Life Sciences Modeling and Industrial Processing Vision Science Engineering Clasificación: 51 Matemáticas Resumen: For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of Visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. Visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions. The assembled papers span the frontiers of VMLS, examining these topics: * Feature Extraction * Classification * Volumes and Shapes * Tensor Visualization * Visualizing Genes, Proteins, and Molecules Nota de contenido: Part I Feature Extraction -- Part II Classification -- Part III Volumes and Shapes -- Part IV Tensor Visualization -- Part V Visualizing Genes, Proteins, and Molecules En línea: http://dx.doi.org/10.1007/978-3-642-21608-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32917 Visualization in Medicine and Life Sciences II : Progress and New Challenges [documento electrónico] / SpringerLink (Online service) ; Lars Linsen ; Hans Hagen ; Bernd Hamann ; Hans-Christian Hege . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012 . - VIII, 290 p. 132 illus., 116 illus. in color : online resource. - (Mathematics and Visualization, ISSN 1612-3786) .
ISBN : 978-3-642-21608-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer graphics Image processing Bioinformatics Computational biology mathematics Visualization Mathematical models Graphics Appl. in Life Sciences Modeling and Industrial Processing Vision Science Engineering Clasificación: 51 Matemáticas Resumen: For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of Visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. Visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions. The assembled papers span the frontiers of VMLS, examining these topics: * Feature Extraction * Classification * Volumes and Shapes * Tensor Visualization * Visualizing Genes, Proteins, and Molecules Nota de contenido: Part I Feature Extraction -- Part II Classification -- Part III Volumes and Shapes -- Part IV Tensor Visualization -- Part V Visualizing Genes, Proteins, and Molecules En línea: http://dx.doi.org/10.1007/978-3-642-21608-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32917 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
