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» Analysis of Functional Magnetic Resonance Imaging in Python
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IPMI
2001
Springer
14 years 8 months ago
Analyzing the Neocortical Fine-Structure
Cytoarchitectonic fields of the human neocortex are defined by characteristic variations in the composition of a general six-layer structure. It is commonly accepted that these fie...
Christopher J. Wiggins, D. Yves von Cramon, Frithj...
NN
2000
Springer
159views Neural Networks» more  NN 2000»
13 years 7 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
IPMI
1999
Springer
14 years 8 months ago
Co-dimension 2 Geodesic Active Contours for MRA Segmentation
Abstract. Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segm...
Liana M. Lorigo, Olivier D. Faugeras, W. Eric L. G...
CVPR
2011
IEEE
13 years 4 months ago
Regression-Based Label Fusion for Multi-Atlas Segmentation
Automatic segmentation using multi-atlas label fusion has been widely applied in medical image analysis. To simplify the label fusion problem, most methods implicitly make a stron...
Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Alt...
IPMI
2003
Springer
14 years 8 months ago
A Unified Variational Approach to Denoising and Bias Correction in MR
Abstract. We propose a novel bias correction method for magnetic resonance (MR) imaging that uses complementary body coil and surface coil images. The former are spatially homogene...
Ayres C. Fan, William M. Wells III, John W. Fisher...