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» Analysis of Functional Magnetic Resonance Imaging in Python
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IJCNN
2000
IEEE
13 years 12 months ago
ICA for Noisy Neurobiological Data
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
Shiro Ikeda, Keisuke Toyama
ISBI
2009
IEEE
14 years 2 months ago
A Physical Basis for Multi-Fiber Reconstruction from DW-MRI Data
Recently various mathematical models have been proposed to model the signal attenuation obtained from Diffusion Weighted Magnetic Resonance Imaging (DW-MRI). Though effective to v...
Ritwik Kumar, Angelos Barmpoutis, Baba C. Vemuri, ...
TMI
2002
185views more  TMI 2002»
13 years 7 months ago
A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI inten...
Mohamed N. Ahmed, Sameh M. Yamany, Nevin Mohamed, ...
MICCAI
2010
Springer
13 years 6 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
IPMU
2010
Springer
13 years 5 months ago
A Fuzzy Regional-Based Approach for Detecting Cerebrospinal Fluid Regions in Presence of Multiple Sclerosis Lesions
Magnetic Resonance Imaging (MRI) is an important paraclinical tool for diagnosing and following-up of Multiple Sclerosis (MS). The detection of MS lesions in MRI may require comple...
Francesc Xavier Aymerich, Eduard Montseny, Pilar S...