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IPMI
2009
Springer
15 years 2 months ago
Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD)
Functional magnetic resonance imaging (fMRI) has become increasingly used for studying functional integration of the brain. However, the large inter-subject variability in function...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
TMI
1998
155views more  TMI 1998»
14 years 9 months ago
Spatio-temporal fMRI Analysis using Markov Random Fields
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
Xavier Descombes, Frithjof Kruggel, D. Yves von Cr...
MICCAI
2009
Springer
15 years 10 months ago
Nonparametric Mean Shift Functional Detection in the Functional Space for Task and Resting-state fMRI
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...
Jian Cheng, Feng Shi, Kun Wang, Ming Song, Jiefeng...
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CVPR
2009
IEEE
16 years 4 months ago
A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI)
High angular resolution diffusion imaging has become an important magnetic resonance technique for in vivo imaging. Most current research in this field focuses on developing met...
Alvina Goh, Christophe Lenglet, Paul M. Thompson, ...
MICCAI
2000
Springer
15 years 1 months ago
Robust 3D Segmentation of Anatomical Structures with Level Sets
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
C. Baillard, Christian Barillot