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» Analysis of Functional Magnetic Resonance Imaging in Python
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IPMI
1999
Springer
14 years 8 months ago
New Variants of a Method of MRI Scale Normalization
One of the major drawbacks of Magnetic Resonance Imaging (MRI) has been the lack of a standard and quantifiable interpretation of image intensities. This causes many difficulties i...
Jayaram K. Udupa, László G. Ny&uacut...
ICPR
2008
IEEE
14 years 2 months ago
Imaging biomarker analysis of rat mammary fat pads and glandular tissues in MRI images
In studying the relationship between risk factors and breast cancer, the growth patterns of fat pads and glandular tissues are considered as important biomarkers. The aim of this ...
Yimo Tao, Jianhua Xuan, Matthew T. Freedman, Glori...
ICASSP
2009
IEEE
13 years 5 months ago
Modelling the neurovascular habituation effect on fMRI time series
In this paper, a novel non-stationary model of functional Magnetic Resonance Imaging (fMRI) time series is proposed. It allows us to account for some putative habituation effect a...
Philippe Ciuciu, Stéphane Sockeel, Thomas V...
JOCN
2011
95views more  JOCN 2011»
13 years 2 months ago
Differential Hemodynamic Response in Affective Circuitry with Aging: An fMRI Study of Novelty, Valence, and Arousal
■ Emerging evidence indicates that stimulus novelty is affectively potent and reliably engages the amygdala and other portions of the affective workspace in the brain. Using fun...
Yoshiya Moriguchi, Alyson Negreira, Mariann Weieri...
TMI
2010
206views more  TMI 2010»
13 years 2 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...