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» Neural modeling and functional brain imaging: an overview
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ISBI
2011
IEEE
12 years 11 months ago
Differential information content in staggered multiple shell hardi measured by the tensor distribution function
Diffusion tensor imaging has accelerated the study of brain connectivity, but single-tensor diffusion models are too simplistic to model fiber crossing and mixing. Hybrid diffusio...
Liang Zhan, Alex D. Leow, Iman Aganj, Christophe L...
DATE
2009
IEEE
229views Hardware» more  DATE 2009»
14 years 2 months ago
Health-care electronics The market, the challenges, the progress
— Exploding health care demands and costs of aging and stressed populations necessitate the use of more in-home monitoring and personalized health care. Electronics hold great pr...
Wolfgang Eberle, Ashwin S. Mecheri, Thi Kim Thoa N...
CVPR
2006
IEEE
14 years 9 months ago
Control Theory and Fast Marching Techniques for Brain Connectivity Mapping
We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magne...
Emmanuel Prados, Stefano Soatto, Christophe Lengle...
ISBI
2008
IEEE
14 years 8 months ago
Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI
Within-subject analysis in fMRI relies on both (i) a detection step to localize which parts of the brain are activated by a given stimulus type, and on (ii) an estimation step to ...
Thomas Vincent, Philippe Ciuciu, Bertrand Thirion
TITB
2010
148views Education» more  TITB 2010»
13 years 2 months ago
Coclustering for cross-subject fiber tract analysis through diffusion tensor imaging
Abstract--One of the fundamental goals of computational neuroscience is the study of anatomical features that reflect the functional organization of the brain. The study of physica...
Cui Lin, Darshan Pai, Shiyong Lu, Otto Muzik, Jing...