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Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, M. Jorge Cardoso; Tal Arbel; Enzo Ferrante; Xavier


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Автор: M. Jorge Cardoso; Tal Arbel; Enzo Ferrante; Xavier
Название:  Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics
ISBN: 9783319676746
Издательство: Springer
Классификация:



ISBN-10: 3319676741
Обложка/Формат: Paperback
Страницы: 250
Вес: 0.38 кг.
Дата издания: 09.09.2017
Серия: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 83 illustrations, black and white; xix, 235 p. 83 illus.
Размер: 234 x 156 x 14
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Computer Science
Подзаголовок: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Qu?bec City, QC, Canada, September 10–14, 2017, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

The 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.




Computational Analysis of Terrorist Groups: Lashkar-e-Taiba

Автор: V.S. Subrahmanian; Aaron Mannes; Amy Sliva; Jana S
Название: Computational Analysis of Terrorist Groups: Lashkar-e-Taiba
ISBN: 1489992634 ISBN-13(EAN): 9781489992635
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Computational Analysis of Terrorist Groups: Lashkar-e-Taiba provides an in-depth look at Web intelligence, and how advanced mathematics and modern computing technology can influence the insights we have on terrorist groups.

Computational Intelligence in Biomedical Imaging

Автор: Suzuki Kenji
Название: Computational Intelligence in Biomedical Imaging
ISBN: 146147244X ISBN-13(EAN): 9781461472445
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Here is a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making.

Information-Theoretic Evaluation for Computational Biomedical Ontologies

Автор: Wyatt Travis Clark
Название: Information-Theoretic Evaluation for Computational Biomedical Ontologies
ISBN: 3319041371 ISBN-13(EAN): 9783319041377
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The development of effective methods for the prediction of ontological annotations is an important goal in computational biology, yet evaluating their performance is difficult due to problems caused by the structure of biomedical ontologies and incomplete annotations of genes.

Signal and Image Analysis for Biomedical and Life Sciences

Автор: Changming Sun; Tomasz Bednarz; Tuan D. Pham; Pasca
Название: Signal and Image Analysis for Biomedical and Life Sciences
ISBN: 3319109839 ISBN-13(EAN): 9783319109831
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

Part I Signal Analysis

1. Visual Analytics of Signalling Pathways Using Time Profiles; David K. G. Ma, Christian Stolte, Sandeep Kaur, Michael Bain and Se an I. O'Donoghue

2. Modeling of Testosterone Regulation by Pulse-modulated Feedback; Per Mattsson and Alexander Medvedev

3. Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence; Madawa Priyadarshana, Tatiana Polushina and Georgy Sofronov

4. Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson's Disease; Daniel Jansson, Alexander Medvedev, Hans Axelson and Dag Nyholm

5. Identification of the Reichardt Elementary Motion Detector Model; Egi Hidayat, Alexander Medvedev and Karin Nordstrцm

6. Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics; Valeriy Gavrishchaka, Olga Senyukova and Kristina Davis

7. Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed; Akemi Nomura, Yasuko Ando, Tomohiro Yano, Yosuke Takami, Shoichiro Ito, Takako Sato, Akinobu Nemoto and Hiroshi Arisawa

8. Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means; Guohun Zhu, Yan Li, Peng (Paul) Wen and Shuaifang Wang

9. Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring; Humaira Nisar, Aamir Saeed Malik, Rafi Ullah, Seong-O Shim, Abdullah Bawakid, Muhammad Burhan Khan and Ahmad Rauf Subhani

Part II Image Analysis

10. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery; Rongxin Li, Dadong Wang, Changming Sun, Ryan Lagerstrom, Hai Tan, You He and Tiqiao Xiao

11. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks; Tomasz Bednarz, Dadong Wang, Yulia Arzhaeva, Ryan Lagerstrom, Pascal Vallotton, Neil Burdett, Alex Khassapov, Piotr Szul, Shiping Chen, Changming Sun, Luke Domanski, Darren Thompson, Timur Gureyev and John A. Taylor

12. Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey; Ryan Lagerstrom, Katherine Holt, Yulia Arzhaeva, Leanne Bischof, Simon Haberle, Felicitas Hopf and David Lovell

13. Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment; Muhammad Burhan Khan, Xue Yong Lee, Humaira Nisar, Choon Aun Ng, Kim Ho Yeap and Aamir Saeed Malik

14. A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis; Pankaj Kumar, Jinhai Cai and Stan Miklavcic

Advanced Computational Approaches to Biomedical Engineering

Автор: Punam K. Saha; Ujjwal Maulik; Subhadip Basu
Название: Advanced Computational Approaches to Biomedical Engineering
ISBN: 3662514559 ISBN-13(EAN): 9783662514559
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book surveys computational advances which applied to biomedical engineering have resulted in the development of new implants and prosthetics, new imaging technologies and new tools and techniques for detection, prevention and treatment of disease.

Signal and Image Analysis for Biomedical and Life Sciences

Автор: Changming Sun; Tomasz Bednarz; Tuan D. Pham; Pasca
Название: Signal and Image Analysis for Biomedical and Life Sciences
ISBN: 3319359029 ISBN-13(EAN): 9783319359021
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

Part I Signal Analysis

1. Visual Analytics of Signalling Pathways Using Time Profiles; David K. G. Ma, Christian Stolte, Sandeep Kaur, Michael Bain and Se an I. O'Donoghue

2. Modeling of Testosterone Regulation by Pulse-modulated Feedback; Per Mattsson and Alexander Medvedev

3. Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence; Madawa Priyadarshana, Tatiana Polushina and Georgy Sofronov

4. Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson's Disease; Daniel Jansson, Alexander Medvedev, Hans Axelson and Dag Nyholm

5. Identification of the Reichardt Elementary Motion Detector Model; Egi Hidayat, Alexander Medvedev and Karin Nordstrцm

6. Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics; Valeriy Gavrishchaka, Olga Senyukova and Kristina Davis

7. Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed; Akemi Nomura, Yasuko Ando, Tomohiro Yano, Yosuke Takami, Shoichiro Ito, Takako Sato, Akinobu Nemoto and Hiroshi Arisawa

8. Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means; Guohun Zhu, Yan Li, Peng (Paul) Wen and Shuaifang Wang

9. Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring; Humaira Nisar, Aamir Saeed Malik, Rafi Ullah, Seong-O Shim, Abdullah Bawakid, Muhammad Burhan Khan and Ahmad Rauf Subhani

Part II Image Analysis

10. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery; Rongxin Li, Dadong Wang, Changming Sun, Ryan Lagerstrom, Hai Tan, You He and Tiqiao Xiao

11. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks; Tomasz Bednarz, Dadong Wang, Yulia Arzhaeva, Ryan Lagerstrom, Pascal Vallotton, Neil Burdett, Alex Khassapov, Piotr Szul, Shiping Chen, Changming Sun, Luke Domanski, Darren Thompson, Timur Gureyev and John A. Taylor

12. Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey; Ryan Lagerstrom, Katherine Holt, Yulia Arzhaeva, Leanne Bischof, Simon Haberle, Felicitas Hopf and David Lovell

13. Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment; Muhammad Burhan Khan, Xue Yong Lee, Humaira Nisar, Choon Aun Ng, Kim Ho Yeap and Aamir Saeed Malik

14. A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis; Pankaj Kumar, Jinhai Cai and Stan Miklavcic

Applications of Computational Intelligence in Biomedical Technology

Автор: Radim Bris; Jaroslav Majernik; Krzysztof Pancerz;
Название: Applications of Computational Intelligence in Biomedical Technology
ISBN: 3319387146 ISBN-13(EAN): 9783319387147
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Various aspects of development methods and algorithms in Biomedical and Medical Informatics as well as Algorithms for medical image processing, modeling methods are discussed.

Applications of Computational Intelligence in Biomedical Technology

Автор: Radim Bris; Jaroslav Majernik; Krzysztof Pancerz;
Название: Applications of Computational Intelligence in Biomedical Technology
ISBN: 3319191462 ISBN-13(EAN): 9783319191461
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Various aspects of development methods and algorithms in Biomedical and Medical Informatics as well as Algorithms for medical image processing, modeling methods are discussed.

Computational Intelligence in Intelligent Data Analysis

Автор: Christian Moewes; Andreas N?rnberger
Название: Computational Intelligence in Intelligent Data Analysis
ISBN: 3642430856 ISBN-13(EAN): 9783642430855
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Complex systems and their phenomena are ubiquitous as they can befound in biology, finance, the humanities, management sciences,medicine, physics and similar fields.For many problems in these fields, there are no conventional ways tomathematically or analytically solve them completely at low cost.

Advances in Computational Algorithms and Data Analysis

Название: Advances in Computational Algorithms and Data Analysis
ISBN: 9048180279 ISBN-13(EAN): 9789048180271
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This text is a compendium of revised and extended articles written for the international conference on Advances in Computational Algorithms and Data Analysis. It presents state-of-the-art advances in the field through discussion of various topics.

Advances in Computational Algorithms and Data Analysis

Название: Advances in Computational Algorithms and Data Analysis
ISBN: 140208918X ISBN-13(EAN): 9781402089183
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.

Advances in Data Analysis with Computational Intelligence Methods

Автор: Adam E Gaw?da; Janusz Kacprzyk; Leszek Rutkowski;
Название: Advances in Data Analysis with Computational Intelligence Methods
ISBN: 3319679457 ISBN-13(EAN): 9783319679457
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

This book is a tribute to Professor Jacek Żurada, who is best known for his contributions to computational intelligence and knowledge-based neurocomputing. It is dedicated to Professor Jacek Żurada, Full Professor at the Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, J.B. Speed School of Engineering, University of Louisville, Kentucky, USA, as a token of appreciation for his scientific and scholarly achievements, and for his longstanding service to many communities, notably the computational intelligence community, in particular neural networks, machine learning, data analyses and data mining, but also the fuzzy logic and evolutionary computation communities, to name but a few.

At the same time, the book recognizes and honors Professor Żurada's dedication and service to many scientific, scholarly and professional societies, especially the IEEE (Institute of Electrical and Electronics Engineers), the world's largest professional technical professional organization dedicated to advancing science and technology in a broad spectrum of areas and fields.

The volume is divided into five major parts, the first of which addresses theoretic, algorithmic and implementation problems related to the intelligent use of data in the sense of how to derive practically useful information and knowledge from data. In turn, Part 2 is devoted to various aspects of neural networks and connectionist systems. Part 3 deals with essential tools and techniques for intelligent technologies in systems modeling and Part 4 focuses on intelligent technologies in decision-making, optimization and control, while Part 5 explores the applications of intelligent technologies.



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