Visualization in Medicine and Life Sciences II

Visualization in Medicine and Life Sciences II

Author: Lars Linsen

Publisher: Springer Science & Business Media

Published: 2012-01-11

Total Pages: 285

ISBN-13: 3642216080

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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.


Visualization in Medicine and Life Sciences III

Visualization in Medicine and Life Sciences III

Author: Lars Linsen

Publisher: Springer

Published: 2016-05-21

Total Pages: 350

ISBN-13: 3319245236

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The book discusses novel visualization techniques driven by the needs in medicine and life sciences as well as new application areas and challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs or to the delivery of healthcare. Target scientific domains include the entire field of biology at all scales - from genes and proteins to organs and populations - as well as interdisciplinary research based on technological advances such as bioinformatics, biomedicine, biochemistry, or biophysics. Moreover, they comprise the field of medicine and the application of science and technology to healthcare problems. This book does not only present basic research pushing the state of the art in the field of visualization, but it also documents the impact in the fields of medicine and life sciences.


Visualization in Medicine and Life Sciences

Visualization in Medicine and Life Sciences

Author: Lars Linsen

Publisher: Springer Science & Business Media

Published: 2007-12-27

Total Pages: 335

ISBN-13: 3540726306

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Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. The interaction between visualization and medicine is one of the fastest expanding fields, both scientifically and commercially. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data.


Scientific Visualization

Scientific Visualization

Author: Charles D. Hansen

Publisher: Springer

Published: 2014-09-18

Total Pages: 397

ISBN-13: 1447164970

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Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization. • Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation, • Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets, • Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications, • Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms. Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.


Visual Computing for Medicine

Visual Computing for Medicine

Author: Bernhard Preim

Publisher: Newnes

Published: 2013-11-07

Total Pages: 1017

ISBN-13: 0124159796

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Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training; an updated appendix on software support for visual computing for medicine; and a new global structure that better classifies and explains the major lines of work in the field. - Complete guide to visual computing in medicine, fully revamped and updated with new developments in the field - Illustrated in full color - Includes a companion website offering additional content for professors, source code, algorithms, tutorials, videos, exercises, lessons, and more


Computational Science and Its Applications -- ICCSA 2013

Computational Science and Its Applications -- ICCSA 2013

Author: Beniamino Murgante

Publisher: Springer

Published: 2013-06-22

Total Pages: 687

ISBN-13: 3642396402

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The five-volume set LNCS 7971-7975 constitutes the refereed proceedings of the 13th International Conference on Computational Science and Its Applications, ICCSA 2013, held in Ho Chi Minh City, Vietnam in June 2013. The 248 revised papers presented in five tracks and 33 special sessions and workshops were carefully reviewed and selected. The 46 papers included in the five general tracks are organized in the following topical sections: computational methods, algorithms and scientific applications; high-performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies. The 202 papers presented in special sessions and workshops cover a wide range of topics in computational sciences ranging from computational science technologies to specific areas of computational sciences such as computer graphics and virtual reality.


Technology-Enabled Blended Learning Experiences for Chemistry Education and Outreach

Technology-Enabled Blended Learning Experiences for Chemistry Education and Outreach

Author: Fun Man Fung

Publisher: Elsevier

Published: 2021-07-03

Total Pages: 214

ISBN-13: 0128230797

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Technology-Enabled Blended Learning Experiences for Chemistry Education and Outreach discusses new technologies and their potential for the advancement of chemistry education, particularly in topics that are difficult to demonstrate in traditional 2d media. The book covers the theoretical background of technologies currently in use (such as virtual and augmented reality), introducing readers to the current landscape and providing a solid foundation on how technology can be usefully integrated in both learning and teaching chemistry content. Other sections cover the implementation of technology, how to design a curriculum, and how new tactics can be applied to both outreach and evaluation efforts. Case studies supplement the information presented, providing the reader with practicable examples and applications of covered theories and technologies. Drawing on the broad experiences and unique insights of a global team of authors from a whole host of different backgrounds, the book aims to stimulate readers' creativity and inspire them to find their own novel applications of the techniques highlighted in this volume. - Provides detailed information on the theoretical background of technology usage in chemistry education, including discussions of augmented and virtual reality - Helps readers understand available options and make informed decisions on how to best utilize technology to enhance their chemistry teaching using concepts surrounding blended learning - Presents examples of theory in practice through case studies that detail completed implementations from around the world


Computer Vision, Imaging and Computer Graphics Theory and Applications

Computer Vision, Imaging and Computer Graphics Theory and Applications

Author: Kadi Bouatouch

Publisher: Springer Nature

Published: 2022-01-22

Total Pages: 563

ISBN-13: 3030948935

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This book constitutes thoroughly revised and selected papers from the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, held in Valletta, Malta, in February 2020. The 25 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 455 submissions. The papers contribute to the understanding of relevant trends of current research on computer graphics; human computer interaction; information visualization; computer vision.


Biomedical Data Management and Graph Online Querying

Biomedical Data Management and Graph Online Querying

Author: Fusheng Wang

Publisher: Springer

Published: 2016-06-23

Total Pages: 206

ISBN-13: 331941576X

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This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data Management and Analytics for Medicine and Healthcare, DMAH 2015, held at Waikoloa, Hawaii, USA on August 31 and September 4, 2015, in conjunction with the 41st International Conference on Very Large Data Bases, VLDB 2015. The 9 revised full papers presented together with 5 invited papers and 1 extended abstract were carefully reviewed and selected from 22 initial submissions. The papers are organized in topical sections on information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing and integration; medical imaging analytics; and big-graphs online querying.