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» Reconstructing Boolean Models of Signaling
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ISBI
2007
IEEE
13 years 11 months ago
A Continuous Mixture of Tensors Model for Diffusion-Weighted Mr Signal Reconstruction
Diffusion MRI is a non-invasive imaging technique that allows the measurement of water molecular diffusion through tissue in vivo. In this paper, we present a novel statistical mo...
Bing Jian, Baba C. Vemuri, Evren Özarslan, Pa...
ICASSP
2008
IEEE
13 years 11 months ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
ICASSP
2008
IEEE
13 years 11 months ago
Modulation decompositions for the interpolation of long gaps in acoustic signals
This paper presents a modulation-based reconstruction method for audio signals across long gaps of missing samples. We use LTI filterbanks followed by a multiplicative model that...
Pascal Clark, Les E. Atlas
BMCBI
2006
141views more  BMCBI 2006»
13 years 5 months ago
Visual setup of logical models of signaling and regulatory networks with ProMoT
Background: The analysis of biochemical networks using a logical (Boolean) description is an important approach in Systems Biology. Recently, new methods have been proposed to ana...
Julio Saez-Rodriguez, Sebastian Mirschel, Rebecca ...
ISBI
2006
IEEE
14 years 5 months ago
Analysis of unknown-location signal detectability for regularized tomographic image reconstruction
Our goal is to optimize regularized image reconstruction methods for emission tomography with respect to the task of detecting small lesions of unknown location in the reconstruct...
Anastasia Yendiki, Jeffrey A. Fessler