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» Analysis of Functional Magnetic Resonance Imaging in Python
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IPMI
2007
Springer
14 years 8 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
ISBI
2004
IEEE
14 years 8 months ago
Incremental Activation Detection in fMRI Series Using Kalman Filtering
We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
Alexis Roche, Jean-Baptiste Poline, Pierre-Jean La...
ISBI
2008
IEEE
14 years 8 months ago
Mutual information-based feature selection enhances fMRI brain activity classification
In this paper, we adress the question of decoding cognitive information from functional Magnetic Resonance (MR) images using classification techniques. The main bottleneck for acc...
Bertrand Thirion, Cécilia Damon, Vincent Mi...
BILDMED
2008
174views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features
Abstract. Focal cortical dysplasia (FCD) is a frequent cause of medically refractory partial epilepsy. The visual identification of FCD lesions on magnetic resonance images (MRI) i...
Christian Loyek, Friedrich G. Woermann, Tim W. Nat...
CVPR
2008
IEEE
13 years 9 months ago
Probabilistic multi-tensor estimation using the Tensor Distribution Function
Diffusion weighted magnetic resonance (MR) imaging is a powerful tool that can be employed to study white matter microstructure by examining the 3D displacement profile of water m...
Alex D. Leow, Siwei Zhu, Katie McMahon, Greig I. d...