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CCB: CCB/SIAM Symposium on Computational Science and Biology: The Challenges, Data, Methods and Tools
General
Title
Computational Science and Biology: The Challenges, Data, Methods and Tools
Description
This special session on computational science will discuss the modern challenges, algorithms, datasets, discrete and analytical models and software tools for addressing varieties of problems arising in biomedicine, computational biology, engineering and social research. The goal of the session is to build bridges between existent imaging, physics, mathematics and statistics-based techniques and provide the infrastructure for data, models and software exchange between different computational science areas. Such interdisciplinary efforts will reduce redundancies in model and tool developments, significantly improve the validation of models and software tools and provide the framework for development of new computational meta-algorithms and elaborate integrated software resources.
Speakers
Program
Complete Program
Session I, Monday, July 7, 2008, 10:30AM - 12:30PM (MS4)
- 10:30-10:55 Brain mapping and computational biology, IvoDinov, University of California, Los Angeles
- 11:00-11:25 Computational Models of Biological Shapes, Washington Mio, Florida State University
- 11:30-11:55 Analysis of fMRI time series, François Meyer, University of Colorado
- 12:00-12:25 Inverse Consistent Non-Rigid Image Registration in Radiation Therapy, Yunmei Chen, University of Florida
Session II, Monday, July 7, 2008, 4:00 - 6:00PM (MS12)
- 4:00-4:25 Shapes and Diffeomorphisms in Medical Image Analysis, Laurent Younes, Johns Hopkins University
- 4:30-4:55 Direct quantification of three-dimensional strain in the heart using zHARP, Jerry Prince, Johns Hopkins University
- 5:00-5:25 Hippocampal mapping with intrinsic surface geometry, YonggangShi, University of California, Los Angeles
- 5:30-5:55 Analysis and recovery of fMRI data, Antonio Marquina, University of Valencia, Spain
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