New PDF release: Biological and Medical Data Analysis: 5th International

By Juan A. Hernández, Martha L. Mora, Emanuele Schiavi, Pablo Toharia (auth.), José María Barreiro, Fernando Martín-Sánchez, Víctor Maojo, Ferran Sanz (eds.)

ISBN-10: 3540239642

ISBN-13: 9783540239642

This ebook constitutes the refereed complaints of the fifth foreign Symposium on organic and scientific facts research, ISBMDA 2004, held in Barcelona, Spain in November 2004.

The 50 revised complete papers awarded have been rigorously reviewed and chosen from a number of submissions. The papers are equipped in topical sections on info research for picture processing, info visualization, choice help platforms, info retrieval, wisdom discovery and knowledge mining, statistical tools and instruments, time sequence research, facts administration and research in bioinformatics, integration of organic and scientific facts, metabolic info and pathways, and microarray information research and visualization.

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Additional info for Biological and Medical Data Analysis: 5th International Symposium, ISBMDA 2004, Barcelona, Spain, November 18-19, 2004. Proceedings

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Strauss and G. Tzanakos, “An efficient implementation of the iterative ML-EM image reconstruction algorithm for PET on a Pentium PC platform”, Journal of Computing and Information Technology, 7(2) (1999) pp. 153-163 12. Aloj, J. Seidel, E. R. C. V. Green, “Initial Results from a PET/Planar Small Animal Imaging System”, IEEE Nuclear Science Symposium, Conference Record. (1998) Volume 2 13. P. L’Ecuyer, “Efficient and Portable Combined Random Number Generators”, Communications of the ACM, Vol 31 (1988) pp.

In the lower part of the screen (see Figure 8), there is displayed for fast orientation in EEG signal classification of the whole EEG record (in this case 2 hours). Each classified (active) electrode is represented by one horizontal strip. Classification of 2 hour EEG record has lasted less than two minutes. 44 Josef Rieger et al. Fig. 6. Window for setup of the metric of the feature space Fig. 7. Window of cluster analysis EEG Data and Data Analysis Visualization 45 Fig. 8. Classification of real EEG signal 4 Case Study II: Classification of Long-Term EEG (Epileptic) with 3D Imaging Structure of this implementation is very similar to case study I.

Farquhar, “High resolution 3D Bayesian image reconstruction using the microPET small-animal scanner”, Physics in Medicine and Biology, vol. 22, no. 2 (2003), pp. 258-276 6. A. E. 1223-1227 7. -Y, “On Parallelizing the EM Algorithm for PET Image Reconstruction” IEEE Transactions on Parallel and Distributed Systems, Volume 5, no 8 August (1994) 8. , Halling H. “Implementation Aspects of a Fully Iterative, Parallel 3D-Reconstruction-Software for PET Data”, International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Egmond aan Zee, Niederlande, June 23-26, (1999) 9.

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Biological and Medical Data Analysis: 5th International Symposium, ISBMDA 2004, Barcelona, Spain, November 18-19, 2004. Proceedings by Juan A. Hernández, Martha L. Mora, Emanuele Schiavi, Pablo Toharia (auth.), José María Barreiro, Fernando Martín-Sánchez, Víctor Maojo, Ferran Sanz (eds.)


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