Modern Geometric Computing for Visualization, Tosiyasu L. Kunii; Yoshihisa Shinagawa

Автор: Watt
Название: Multithreading for Visual Effects
ISBN: 1482243563 ISBN-13(EAN): 9781482243567
Издательство: Taylor&Francis
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Tackle the Challenges of Parallel Programming in the Visual Effects Industry

Автор: Cusson, Roger, Cardoso, Jamie
Название: Realistic Architectural Visualization with 3ds Max and mental ray
ISBN: 0240812298 ISBN-13(EAN): 9780240812298
Издательство: Taylor&Francis
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Описание: Add impressive realism to architectural visualizations using 3ds Max and mental ray.

Автор: Simone Balocco
Название: Computing and Visualization for Intravascular Imaging and Co
ISBN: 012811018X ISBN-13(EAN): 9780128110188
Издательство: Elsevier Science
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Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting presents imaging, treatment, and computed assisted technological techniques for diagnostic and intraoperative vascular imaging and stenting. These techniques offer increasingly useful information on vascular anatomy and function, and are poised to have a dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases.

Автор: Karl H. H?hne; Ron Kikinis
Название: Visualization in Biomedical Computing
ISBN: 3540616497 ISBN-13(EAN): 9783540616498
Издательство: Springer
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Описание: This work on visualization in biomedical computing are include sections on: visualization; image processing; segmentation; registration; brain - description of shape; brain - characterization of pathology; brain - visualization of function; and image guided surgery and endoscopy.

Автор: Dirk Bartz
Название: Visualization in Scientific Computing `98
ISBN: 3211832092 ISBN-13(EAN): 9783211832097
Издательство: Springer
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Описание: A collection of 12 papers discussing common problems in visualization. These include: adaptive and multi-resolution methods; feature extraction; flow visualization; and visualization quality.

Автор: Riccardo Scateni; Jarke J.van Wijk; Pietro Zanarin
Название: Visualization in Scientific Computing `95
ISBN: 3211827293 ISBN-13(EAN): 9783211827291
Издательство: Springer
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Описание: This book represents results of the sixth in a well established series of international workshops on Visualization in Scien- tific Computing organized by the EUROGRAPHICS Association in collaboration with CRS4 (Center for Advanced Studies, Research and Development in Sardinia), held from May 3 to May 5,1995, in Chia, Italy.

Автор: Michel Grave; Yvon Le Lous; W.Terry Hewitt
Название: Visualization in Scientific Computing
ISBN: 3642779042 ISBN-13(EAN): 9783642779046
Издательство: Springer
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Описание: Visualization in scientific computing is getting more and more attention from many people. Especially in relation with the fast increase of com- puting power, graphic tools are required in many cases for interpreting and presenting the results of various simulations, or for analyzing physical phenomena. The Eurographics Working Group on Visualization in Scientific Com- puting has therefore organized a first workshop at Electricite de France (Clamart) in cooperation with ONERA (Chatillon). A wide range of pa- pers were selected in order to cover most of the topics of interest for the members of the group, for this first edition, and 26 of them were presented in two days. Subsequently 18 papers were selected for this volume. 1'he presentations were organized in eight small sessions, in addition to discussions in small subgroups. The first two sessions were dedicated to the specific needs for visualization in computational sciences: the need for graphics support in large computing centres and high performance net- works, needs of research and education in universities and academic cen- tres, and the need for effective and efficient ways of integrating numerical computations or experimental data and graphics. Three of those papers are in Part I of this book. The third session discussed the importance and difficulties of using stan- dards in visualization software, and was related to the fourth session where some reference models and distributed graphics systems were discussed. Part II has five papers from these sessions.

Автор: Cameron
Название: Microeconometrics Using Stata
ISBN: 1597180734 ISBN-13(EAN): 9781597180733
Издательство: Taylor&Francis
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Описание: Updated to reflect Stata 11, this revised edition offers a complete and up-to-date survey of microeconometric methods available in Stata. The authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.

Автор: Yuman Fong; Pier Cristoforo Giulianotti; Jason Lew
Название: Imaging and Visualization in The Modern Operating Room
ISBN: 1493923250 ISBN-13(EAN): 9781493923250
Издательство: Springer
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Описание: Imaging and Visualization in The Modern Operating Room

Автор: Yuman Fong; Pier Cristoforo Giulianotti; Jason Lew
Название: Imaging and Visualization in The Modern Operating Room
ISBN: 1493955594 ISBN-13(EAN): 9781493955596
Издательство: Springer
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Описание:

Ch. 1: Lighting in the Operating Room: Current Technologies and Considerations

Jeffrey Berman, A.I.A., A.C.H.A., Robert Brian Leiter, Yuman Fong, M.D.

Ch. 2: Optical Image-Guidance to Bridge the Gap Between Preoperative Planning and Postoperative Control

Vasilis Ntziachristos, Ph.D., Pilar Beatriz Garcia Allende, Ph.D.

Ch. 3: Fluorescents Probes

Kai Cheng, Ph.D., Zhen Cheng, Ph.D.

Ch. 4: Detectors for Intraoperative Molecular Imaging: From Probes to Scanners

Farhad Daghighian, Ph.D., Yuman Fong, M.D.

Ch. 5: Isotopes and Procedural Imaging

Yachao Zhang, M.D., Thomas Reiner, Ph.D., Jason S. Lewis, Ph.D.

Ch. 6: Radiologically Imageable Nanoparticles

Aileen L. Co, B.S., A.M. Sitarski, B.S., Jeremy L. Grant, B.A., M.A., Michael D. Mason, B.S., Ph.D.

Ch. 7: Flat Panel CT and the Future of OR Imaging and Navigation

Ina Schwabenland, M.D., Dirk Sunderbrink, Georg Nollert, M.D., Ph.D., Christopher Dickman, M.D., Ph.D., Markus Weingarten, Ph.D., Andreas Meyer, John Benson, B.S., Philip Mewes, M.Sc., Peter Mountney, Ph.D., Li Zhang, Ph.D., Stephane Nicolau, Ph.D., Luc Soler, Chris Tihansky, B.S., M.B.A.

Ch. 8: Cerenkov Luminescence Imaging

Jan Grimm, M.D., Ph.D

Ch. 9: Organ Deformation and Navigation

Robert L. Galloway, Ph.D., Michael I. Miga, Ph.D.

Ch. 10: Clinical Milestones for Optical Imaging

Jonathan Sorger, Ph.D.

Ch. 11: 3D in the Minimally Invasive Surgery (MIS) Operating Room: Cameras and Displays in the Evolution of MIS

Brian J. Dunkin, M.D., F.A.C.S., Caroline Flowers, B.S.

Ch. 12: Nanotechnology Approaches for Intra-procedural Molecular Diagnostics

Cesar M. Castro, M.D., Hyungsoon Im, Ph.D., Hakoho Lee, Ph.D., Ralph Weissleder, M.D., Ph.D.

Ch. 13: Ultra Small Fluorescent Silica Nanoparticles as Intraoperative Imaging Tools for Cancer Diagnosis and Treatment

Michelle S. Bradbury, M.D., Ph.D., Mohan Pauliah, Ph.D., Ulrich Wiesner, M.D., Ph.D.

Ch. 14: Image Processing Technologies for Motion Compensation

Claudio Vinegoni, Ph.D., Sungon Lee, Ph.D., Ralph Weissleder, M.D., Ph.D

Автор: Mirman
Название: Growth Curve Analysis and Visualization Using R
ISBN: 1466584327 ISBN-13(EAN): 9781466584327
Издательство: Taylor&Francis
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Описание: Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual differences, such as developmental and neuropsychological, in the context of a model of the overall group effects. To harness the practical aspects of this useful tool, behavioral science researchers need a concise, accessible resource that explains how to implement these analysis methods. Growth Curve Analysis and Visualization Using R provides a practical, easy-to-understand guide to carrying out multilevel regression/growth curve analysis (GCA) of time course or longitudinal data in the behavioral sciences, particularly cognitive science, cognitive neuroscience, and psychology. With a minimum of statistical theory and technical jargon, the author focuses on the concrete issue of applying GCA to behavioral science data and individual differences. The book begins with discussing problems encountered when analyzing time course data, how to visualize time course data using the ggplot2 package, and how to format data for GCA and plotting. It then presents a conceptual overview of GCA and the core analysis syntax using the lme4 package and demonstrates how to plot model fits. The book describes how to deal with change over time that is not linear, how to structure random effects, how GCA and regression use categorical predictors, and how to conduct multiple simultaneous comparisons among different levels of a factor. It also compares the advantages and disadvantages of approaches to implementing logistic and quasi-logistic GCA and discusses how to use GCA to analyze individual differences as both fixed and random effects. The final chapter presents the code for all of the key examples along with samples demonstrating how to report GCA results. Throughout the book, R code illustrates how to implement the analyses and generate the graphs. Each chapter ends with exercises to test your understanding. The example datasets, code for solutions to the exercises, and supplemental code and examples are available on the author’s website.

Автор: Wilfrid Lefer; Michel Grave
Название: Visualization in Scientific Computing `97
ISBN: 3211830499 ISBN-13(EAN): 9783211830499
Издательство: Springer
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Описание: Visualization is a powerful approach to gaining insight into datasets produced by scientific experimentations and simulations. The contributions to this work cover technical aspects as well as concrete applications of visualization in domains such as finance, physics, astronomy and medicine.