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» Rotational Invariance in Adaptive fMRI Data Analysis
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ICASSP
2010
IEEE
13 years 4 months ago
Flexible complex ICA of fMRI data
Data-driven analysis methods, in particular independent component analysis (ICA) has proven quite useful for the analysis of functional magnetic imaging (fMRI) data. In addition, ...
Hualiang Li, Tülay Adali, Nicolle M. Correa, ...
ICASSP
2011
IEEE
12 years 10 months ago
Real-time conjugate gradients for online fMRI classification
Real-time functional magnetic resonance imaging (rtfMRI) enables classification of brain activity during data collection thus making inference results accessible to both the subj...
Hao Xu, Yongxin Taylor Xi, Ray Lee, Peter J. Ramad...
CVPR
2012
IEEE
11 years 8 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
MICCAI
2005
Springer
14 years 7 months ago
Physiological System Identification with the Kalman Filter in Diffuse Optical Tomography
Abstract. Diffuse optical tomography (DOT) is a noninvasive imaging technology that is sensitive to local concentration changes in oxyand deoxyhemoglobin. When applied to functiona...
Solomon Gilbert Diamond, Theodore J. Huppert, Vill...
IWVF
2001
Springer
13 years 10 months ago
A Rotation-Invariant Morphology for Shape Analysis of Anisotropic Objects and Structures
In this paper we propose a series of novel morphological operators that are anisotropic, and adapt themselves to the local orientation in the image. This new morphology is therefor...
Cris L. Luengo Hendriks, Lucas J. van Vliet