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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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MICCAI
2007
Springer
16 years 2 months ago
Accuracy Assessment of Global and Local Atrophy Measurement Techniques with Realistic Simulated Longitudinal Data
The main goal of this work was to assess the accuracy of several well-known methods which provide global (BSI and SIENA) or local (Jacobian integration) estimates of longitudinal a...
Oscar Camara, Rachael I. Scahill, Julia A. Schnabe...
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MICCAI
2005
Springer
16 years 2 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...
ICASSP
2008
IEEE
15 years 8 months ago
Adaptive RR prediction for cardiac MRI
Cardiac magnetic resonance imaging (MRI) is very challenging due to the perpetual heart movements. This movement is pseudo-periodic and implies several issues for image acquisitio...
Julien Oster, Olivier Pietquin, Gilles Bosser
NN
2000
Springer
159views Neural Networks» more  NN 2000»
15 years 1 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
ICCV
2003
IEEE
16 years 3 months ago
Images as Bags of Pixels
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
Tony Jebara