Regularization methods for biomedical image analysis on manifolds - Part I of II
For Part II, see MS-Th-D-48

Date: August 13
Time: 10:00--12:00
Room: 212B

(Note: Click title to show the abstract.)

Chen, Chong (Chinese Acad. of Sci.)
Dong, Guozhi (Univ. of Vienna)

Abstract: Inverse problems of functions defined on manifolds and Image analysis with data on surfaces are emerging topics, while the biomedical image and many other biological data analysis provide one the main sources of these problems. This minisymposium will be devoted to recent advances of regularization methods and the related topics, with respect to biomedical image analysis in the context of a manifold domain. The aim is to provide a platform to researchers and scientists for exchanging ideas and developing new research topics. It is supposed to contain two sections, and speakers consist of both leading experts and young researchers.

A new framework for the statistical analysis of geometric-functional datasets' variability.
Charon, Nicolas (Johns Hopkins Univ.)

A multi-scale geometric flow method for molecular structure reconstruction
Chen, Chong (Chinese Acad. of Sci.)

Parameter estimation of an adapted mean-curvature flow model of shape evolution
Lefevre, Julien (Aix-Marseille Universite)

Computational evolving manifolds in biomedical image analysis
Mikula, Karol (Slovak Univ. of Tech., Bratislava)


Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA