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ACIVS
2005
Springer
15 years 3 months ago
A Likelihood Ratio Test for Functional MRI Data Analysis to Account for Colored Noise
Abstract. Functional magnetic resonance (fMRI) data are often corrupted with colored noise. To account for this type of noise, many prewhitening and pre-coloring strategies have be...
Jan Sijbers, Arnold Jan den Dekker, Robert Bos
93
Voted
ARCS
2005
Springer
15 years 3 months ago
Organic Architectures for Large-Scale Environment-Aware Sensor Networks
This paper examines how methods inspired by biological processes can be applied to the design of large-scale environment-aware sensor networks. Our ultimate goal are systems conta...
Paul Lukowicz, Erhardt Barth, Jan T. Kim
83
Voted
VLSM
2005
Springer
15 years 3 months ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
ICCV
2003
IEEE
15 years 3 months ago
Variational Frameworks for DT-MRI Estimation, Regularization and Visualization
We address three crucial issues encountered in DT-MRI (Diffusion Tensor Magnetic Resonance Imaging) : diffusion tensor Estimation, Regularization and fiber bundle Visualization. ...
David Tschumperlé, Rachid Deriche
61
Voted
ICPR
2010
IEEE
15 years 2 months ago
Spatially Regularized Common Spatial Patterns for EEG Classification
In this paper, we propose a new algorithm for BrainComputer Interface (BCI): the Spatially Regularized Common Spatial Patterns (SRCSP). SRCSP is an extension of the famous CSP alg...
Fabien Lotte, Cuntai Guan