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2006 SIAM Symposium on Mathematics for Brain Imaging

The CCB organized and sponsored a symposium at the 2006 SIAM Conference on Mathematics for Brain Imaging, July 11, 2006, Boston Park Plaza Hotel and Towers, Boston, Massachusetts, USA.

General Conference Site: http://www.siam.org/meetings/an06/

Description

In the last few years, more and more mathematical knowledge has been introduced to brain imaging research. This two-section intensive symposium will focus on mathematical and computational techniques that can be applied to brain images to measure, map and model brain structure and function. Experts who are pioneers in medical image analysis and mathematicians will describe the mathematics and computational algorithms used in brain imaging today and emerging research directions. Talks will be of interest to newcomers and experts in computational biology.

Program

  1. Session I: Tuesday, July 11, 2006. MS30: Mathematics for Brain Imaging – Part I of II, 4:00 PM – 6:00 PM, Room: Imperial Ballroom – ML
    • 4:00-4:25 Brain Mapping Techniques for Computer Aided Diagnosis and Follow Up. Stephen T.C. Wong, Brigham and Women’s Hospital, Harvard Medical School
    • 4:30-4:55 Conformal Cortical Cartography Using the Discrete Approach of Circle Packings. Monica K. Hurdal, Florida State University
    • 5:00-5:25 Computational Methods for Quantitative Analysis of the Brain. Dinggang Shen, University of Pennsylvania
    • 5:30-5:55 Automatic Detection of Anatomical Features Using Brain Conformal Parametrization. Lok Ming Lui, Yalin Wang, Tony F. Chan, and Paul M. Thompson, University of California, Los Angeles
  2. Session II: Thursday, July 13, 2006, MS70: Mathematics for Brain Imaging – Part II of II, 4:00 PM – 6:00 PM, Room: Imperial Ballroom – ML
    • 4:00-4:25 Brain Surface Parameterization with Riemann Surface Structure. Shing-Tung Yau, Harvard University
    • 4:30-4:55 Geometric Strategies for Neuroanatomic Analysis from MRI. James S. Duncan, Yale University
    • 5:00-5:25 Quasiconformal Visuotopic Map Complexes in Human Brain: Methods and Motivations for Near-Isometric Brain Flattening. Eric L. Schwartz, Boston University
    • 5:30-5:55 Diffeomorphic Metric Curve and Surface Matching. Marc Vaillant, Anqi Qiu, and Michael I. Miller, Johns Hopkins University
  3. Complete Meeting Program: http://www.siam.org/meetings/an06/
  • Organizers