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MICCAI
2010
Springer
14 years 8 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
MJ
2006
145views more  MJ 2006»
14 years 10 months ago
A design flow for speeding-up dsp applications in heterogeneous reconfigurable systems
In this paper, we propose a method for speeding-up Digital Signal Processing applications by partitioning them between the reconfigurable hardware blocks of different granularity ...
Michalis D. Galanis, Athanasios Milidonis, Athanas...

Publication
1851views
16 years 11 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
ADCM
2005
163views more  ADCM 2005»
14 years 10 months ago
Matrix-valued radial basis functions: stability estimates and applications
Radial basis functions (RBFs) have found important applications in areas such as signal processing, medical imaging, and neural networks since the early 1980's. Several appli...
Svenja Lowitzsch
MICCAI
2005
Springer
15 years 11 months ago
Brain Surface Parameterization Using Riemann Surface Structure
Abstract. We develop a general approach that uses holomorphic 1forms to parameterize anatomical surfaces with complex (possibly branching) topology. Rather than evolve the surface ...
Yalin Wang, Xianfeng Gu, Kiralee M. Hayashi, Tony ...