Campuses:

Biomedical imaging

Monday, January 10, 2011 - 3:00pm - 4:00pm
Miriam Leeser (Northeastern University)
We live in the age of heroic programming for scientific applications on Graphics Processing Units (GPUs). Typically a scientist chooses an application to accelerate and a target platform, and through great effort maps their application to that platform. If they are a true hero, they achieve two or three orders of magnitude speedup for that application and target hardware pair. The effort required includes a deep understanding of the application, its implementation and the target architecture.
Tuesday, September 14, 2010 - 4:15pm - 5:00pm
Chiu-Yen Kao (The Ohio State University)
The basic medical science research and clinical diagnosis and treatment
have strongly benefited from the development of various noninvasive
biomedical imaging techniques, e.g. magnetic resonance imaging (MRI) and
computed tomography (CT). The mathematical tools provide many different
ways to analyze these valuable images. In this talk, we will give examples
of morphology and connectome study of human brains, the shape analysis of
ciliary muscle of human eyes, and the estimate of oxygen transport in
tissue transfer.
Thursday, December 8, 2005 - 10:30am - 11:30am
Brani Vidakovic (Georgia Institute of Technology)
Measured bioresponses are often characterized by
an intrinsic high frequency and strong persistent correlations
inhibiting statistical modeling by the traditional techniques.
The talk overviews two novel wavelet-based techniques
for modeling such challenging data.

Wavelet domains provide natural modeling
environments for data that scale, as well as for data
consisting of continuous n-dimensional functions.
We briefly discuss technicalities and describe in detail
two applications.
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