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» Analysis of Functional Magnetic Resonance Imaging in Python
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MICCAI
2004
Springer
14 years 8 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
IPMI
2005
Springer
14 years 8 months ago
Regional Whole Body Fat Quantification in Mice
Obesity has risen to epidemic levels in the United States and around the world. Global indices of obesity such as the body mass index (BMI) have been known to be inaccurate predict...
Xenophon Papademetris, Pavel Shkarin, Lawrence H. ...
NN
2000
Springer
170views Neural Networks» more  NN 2000»
13 years 7 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...
ICASSP
2010
IEEE
13 years 5 months ago
Restoration-based iron oxide particles quantification in MR images
Magnetic Resonance Imaging (MRI) is a medical imaging modality that provides structural and functional information. To improve the contrast of MR images, contrast agents, such as ...
Delphine Charpigny, Thomas Grenier, Christophe Ode...
CSDA
2007
124views more  CSDA 2007»
13 years 7 months ago
Wavelet based time-varying vector autoregressive modelling
Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
João Ricardo Sato, Pedro Alberto Morettin, ...