ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
Due to the random nature of photon emission and the various internal noise sources of the detectors, real timelapse fluorescence microscopy images are usually modeled as the sum o...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
The cortical folding patterns are very different from one individual to another. Here we try to find folding patterns automatically using large-scale datasets by non-supervised cl...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
Recent advances in high-throughput microscopy are used to acquire large-scale anatomical information at the microscopic level. One of these methods, known as Knife-Edge Scanning M...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaus...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
Animal development can be described as a complex, threedimensional cellular system that changes dramatically across time as a consequence of cell proliferation, differentiation an...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, we focus on the reconstruction of iDQC MR spectroscopy data. Unlike standard 1-D MR spectroscopy schemes, iDQC acquires 2-D spectral data to decouple the magnetic f...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper examines the power of different nonrigid registration models to detect changes in TBM, and their stability when no real changes are present. Specifically, we investigat...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper presents a new method for multiple structure segmentation, using a maximum a posteriori (MAP) estimation framework, based on prior shape densities involving nonparametr...
ISBI
2008
IEEE
14 years 7 months ago
2008
IEEE
We propose an algorithm for the diffeomorphic registration of diffusion tensor images (DTI). Previous DTI registration algorithms using full tensor information suffer from difficu...