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» Sparse topological data recovery in medical images
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ISBI
2009
IEEE
14 years 2 months ago
3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data
Various cortical measures such as cortical thickness are routinely computed along the vertices of cortical surface meshes. These metrics are used in surface-based morphometric stu...
Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander
IPMI
2011
Springer
12 years 11 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
SIAMIS
2011
13 years 2 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
ISBI
2008
IEEE
14 years 8 months ago
Deconvolution of confocal microscopy images using proximal iteration and sparse representations
We propose a deconvolution algorithm for images blurred and degraded by a Poisson noise. The algorithm uses a fast proximal backward-forward splitting iteration. This iteration mi...
François-Xavier Dupé, Mohamed-Jalal ...
FIMH
2007
Springer
13 years 11 months ago
Constrained Reconstruction of Sparse Cardiac MR DTI Data
Magnetic resonance diffusion tensor imaging (DTI) has emerged as a convenient and reliable alternative to conventional histology for characterizing the fiber structure of the myoca...
Ganesh Adluru, Edward Hsu, Edward V. R. Di Bella