Statistical computational methods brain von chung moo (3 Ergebnisse)
Sprache: Englisch
Verlag: CRC Press, 2024
Serie: Buch 3 von 8 - Chapman & Hall/CRC Mathematical and Computational Imaging Sciences
- Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 68,08
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Zustand: New.
Sprache: Englisch
Verlag: CRC Press, 2024
Serie: Buch 3 von 8 - Chapman & Hall/CRC Mathematical and Computational Imaging Sciences
- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 66,60
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Zustand: New. Moo K. Chung, Ph.D. is an associate professor in the Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison. He is also affiliated with the Waisman Laboratory for Brain Imaging and Behavior. He has won.
Sprache: Englisch
Verlag: Taylor & Francis Inc Jul 2013, 2013
Serie: Buch 3 von 8 - Chapman & Hall/CRC Mathematical and Computational Imaging Sciences
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 229,03
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Buch. Zustand: Neu. Neuware - The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe the… quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB(R) and case study data sets, Statistical and Computational Methods in Brain Image Analysis is the first book to explicitly explain how to perform statistical analysis on brain imaging data. The book focuses on methodological issues in analyzing structural brain imaging modalities such as MRI and DTI. Real imaging applications and examples elucidate the concepts and methods. In addition, most of the brain imaging data sets and MATLAB codes are available on the author's website. By supplying the data and codes, this book enables researchers to start their statistical analyses immediately.Also suitable for graduate students, it provides an understanding of the various statistical and computational methodologies used in the field as well as important and technically challenging topics.
