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» Analysis of Functional Magnetic Resonance Imaging in Python
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MICCAI
2002
Springer
14 years 8 months ago
Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique
We present a comparison between a voxel based approach and a region based technique for detecting brain activation signals in sequences of functional Magnetic Resonance Images (fMR...
Guillaume Flandin, Ferath Kherif, Xavier Pennec, G...
ICASSP
2010
IEEE
13 years 6 months ago
Independent subspace analysis with prior information for fMRI data
Independent component analysis (ICA) has been successfully applied for the analysis of functional magnetic resonance imaging (fMRI) data. However, independence might be too strong...
Sai Ma, Xi-Lin Li, Nicolle M. Correa, Tülay A...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 10 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
TITB
2008
109views more  TITB 2008»
13 years 7 months ago
Efficient Lossless Compression of 4-D Medical Images Based on the Advanced Video Coding Scheme
This paper presents an efficient lossless compression method for 4-D medical images based on the advanced video coding scheme (H.264/AVC). The proposed method efficiently reduces d...
Victor Sanchez, Panos Nasiopoulos, Rafeef Abugharb...
MICCAI
2004
Springer
14 years 8 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...