On the Behrens-Fisher Problem for Functional Data
- 2010-12-27 (Mon.), 10:30 AM
- 中研院-蔡元培館 2F 208 演講廳
- 茶 會:上午10:10統計所蔡元培館二樓
- Prof. Jin-Ting Zhang (張金廷教授)
- National University of Singapore, Singapore
Abstract
Emerging with advanced imaging techniques, Computational Functional Anatomy (CFA) is a new discipline in the medical imaging research to identify imaging markers associated with a specific disease and explore their relationships with clinical assessments as well as genetic and environmental factors. To achieve this, CFA mathematically models anatomical configurations and signals associated with anatomy and functions of a specific organ in anatomical coordinates in multi-modal images. We will focus on two topics in this talk: 1) characterizing brain shape variation; 2) tracking within-subject brain shape changes in serial images.
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