Analysis functional mri data di babu ramesh (6 risultati)

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2016

      3659687731 / 9783659687730

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      Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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      EUR 76,49

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      Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2016

      3659687731 / 9783659687730

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      Da: preigu, Osnabrück, Germaniapreigu

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      Taschenbuch. Condizione: Neu. Analysis of Functional MRI Data using Clustering Algorithm | Ramesh Babu N | Taschenbuch | 68 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659687730 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Okt 2016, 2016

      3659687731 / 9783659687730

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      • Print on Demand

      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The utilization of contextual information was studied for the analysis of fMRI data. The approach consisted of two phases: computation of a statistical parametric map and activation detection by contextual clustering. The iterative clustering algorithm presented in this work is based on Besag's ICM algorithm. Our contribution has been to apply and evaluate the ICM in the context of hypothesis testing and statistical parametric maps. The results indicate that the power of the developed contextual algorithm is superior to that of conventional voxel-by-voxel thresholding of a statistical parametric map. Although fMRI data were used to test the algorithm, the construction of the algorithm is general and it can be used to detect objects with unknown distribution from a known background distribution in other similar problems as well. 68 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2016

      3659687731 / 9783659687730

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Babu N RameshHe received his Masters degree from Anna University, India and obtained his Ph.D degree from VIT University, India.He has around 15 years of teaching experience with around 8 years of research experience. Presently he is.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Okt 2016, 2016

      3659687731 / 9783659687730

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The utilization of contextual information was studied for the analysis of fMRI data. The approach consisted of two phases: computation of a statistical parametric map and activation detection by contextual clustering. The iterative clustering algorithm presented in this work is based on Besag's ICM algorithm. Our contribution has been to apply and evaluate the ICM in the context of hypothesis testing and statistical parametric maps. The results indicate that the power of the developed contextual algorithm is superior to that of conventional voxel-by-voxel thresholding of a statistical parametric map. Although fMRI data were used to test the algorithm, the construction of the algorithm is general and it can be used to detect objects with unknown distribution from a known background distribution in other similar problems as well.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2016

      3659687731 / 9783659687730

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The utilization of contextual information was studied for the analysis of fMRI data. The approach consisted of two phases: computation of a statistical parametric map and activation detection by contextual clustering. The iterative clustering algorithm presented in this work is based on Besag's ICM algorithm. Our contribution has been to apply and evaluate the ICM in the context of hypothesis testing and statistical parametric maps. The results indicate that the power of the developed contextual algorithm is superior to that of conventional voxel-by-voxel thresholding of a statistical parametric map. Although fMRI data were used to test the algorithm, the construction of the algorithm is general and it can be used to detect objects with unknown distribution from a known background distribution in other similar problems as well.