Geometric Modeling and Mesh Generation from Scanned Images (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series) - Tapa blanda

Zhang, Yongjie Jessica

 
9780367658526: Geometric Modeling and Mesh Generation from Scanned Images (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series)

Sinopsis

Based on the author's recent research and course at Carnegie Mellon University, this book shows how to integrate image processing, geometric modeling, and mesh generation with the finite element method to solve problems in computational biology, medicine, materials science, and engineering. The text explains the fundamentals of medical imaging,

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Acerca del autor

Yongjie Jessica Zhang is an associate professor in the Department of Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in the Department of Biomedical Engineering. She is the co-author of more than 130 publications in peer-reviewed international journals and conference proceedings. She has been a recipient of the Presidential Early Career Award for Scientists and Engineers, NSF CAREER Award, Office of Naval Research Young Investigator Award, USACM Gallagher Young Investigator Award, Clarence H. Adamson Career Faculty Fellow in Mechanical Engineering, George Tallman Ladd Research Award, and Donald L. and Rhonda Struminger Faculty Fellow. Her research interests include computational geometry, mesh generation, computer graphics, visualization, finite element method, isogeometric analysis, and their application in computational biomedicine and engineering. She earned a PhD in computational engineering and sciences from the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin.

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Otras ediciones populares con el mismo título

9781482227765: Geometric Modeling and Mesh Generation from Scanned Images: 6 (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series)

Edición Destacada

ISBN 10:  1482227762 ISBN 13:  9781482227765
Editorial: Chapman and Hall/CRC, 2016
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