Advanced Computational Approaches to Biomedical Engineering

Editors: Saha, Punam K., Maulik, Ujjwal, Basu, Subhadip (Eds.)

  • Reference for graduate students, researchers and industrial practitioners in computer science, biomedical engineering and computational and molecular biology
  • Focuses on intelligent techniques for analyzing complex data
  • International team of contributing authors are experts in biomedical research and statistical analysis
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About this book

There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies and improve tools and techniques for the detection, prevention and treatment of diseases.

The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology.

About the authors

Punam K. Saha received his Ph.D. from the Indian Statistical Institute in 1997. He is an Associate Professor at the Univ. of Iowa, USA, having previously been associated with the Medical Image Processing Group of the Univ. of Pennsylvania, USA. His research interests include medical imaging.

Ujjwal Maulik has been a Professor in the Dept. of Computer Science and Engineering, Jadavpur University, Kolkata since 2004. He led the Dept. of Computer Science and Technology of Kalyani Government Engineering College from 1996 to 1999. He has collaborated and lectured at many institutions, including the Los Alamos National Laboratory, USA, the Univ. of New South Wales, Australia, the Univ. of Texas at Arlington, USA, the Univ. of Maryland, Baltimore County, USA, the Fraunhofer Institute AiS, St. Augustin, Germany, Tsinghua University, China, the Univ. of Rome, Italy, the Univ. of Heidelberg, Germany and the German Cancer Research Center. He received the Government of India BOYSCAST fellowship in 2001 and the Alexander Von Humboldt Fellowship for Experienced Researchers in 2010-2012 and he has coordinated a number of Erasmus Mundus Mobility with Asia (EMMA) programs. He has coauthored 8 books and more than 250 research publications; he has been program chair for many international conferences and workshops, he is on the editorial board of many journals, and he is a founding member of the IEEE Computational Intelligence Society (CIS) Chapter, Calcutta section. His research interests include computational intelligence, bioinformatics, combinatorial optimization, pattern recognition and data mining.

Subhadip Basu received his Ph.D. from Jadavpur University in 2006, where he is now an assistant professor. He has also worked as a visiting scientist at Hitachi (Japan), the University of Warsaw and the University of Iowa. His research interests include medical image analysis, pattern recognition and bioinformatics.

Table of contents (9 chapters)

  • Graph Algorithmic Techniques for Biomedical Image Segmentation

    Garvin, Mona K. (et al.)

    Pages 3-45

  • Information Theoretic Clustering for Medical Image Segmentation

    Hill, Jason (et al.)

    Pages 47-70

  • Multiobjective Differential Evolution-Based Fuzzy Clustering for MR Brain Image Segmentation Image Segmentation

    Saha, Indrajit (et al.)

    Pages 71-86

  • Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics

    Sen-Bhattacharya, Basabdatta (et al.)

    Pages 87-112

  • A Meta-learning Approach for Protein Function Prediction

    Plewczynski, Dariusz (et al.)

    Pages 113-128

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-642-41539-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-642-41538-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-3-662-51455-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advanced Computational Approaches to Biomedical Engineering
Editors
  • Punam K. Saha
  • Ujjwal Maulik
  • Subhadip Basu
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
Distribution Rights
Distribution rights for India: Delhi Book Store, New Delhi, India
eBook ISBN
978-3-642-41539-5
DOI
10.1007/978-3-642-41539-5
Hardcover ISBN
978-3-642-41538-8
Softcover ISBN
978-3-662-51455-9
Edition Number
1
Number of Pages
XII, 217
Number of Illustrations and Tables
24 b/w illustrations, 76 illustrations in colour
Topics