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» Subspace Models for Functional MRI Data Analysis
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MICCAI
2010
Springer
14 years 7 months ago
Joint Generative Model for fMRI/DWI and Its Application to Population Studies
Abstract. We propose a novel probabilistic framework to merge information from DWI tractography and resting-state fMRI correlations. In particular, we model the interaction of late...
Archana Venkataraman, Yogesh Rathi, Marek Kubicki,...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
84
Voted
MICCAI
2008
Springer
15 years 10 months ago
LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models
Tagged Magnetic Resonance Imaging (tMRI) is a non-invasive way of tracking the in-vivo myocardial motion during cardiac cycles. Tags are material points which deform along the myo...
Xiaoxu Wang, Ting Chen, Shaoting Zhang, Dimitri...
ICASSP
2011
IEEE
14 years 1 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee
MICCAI
2004
Springer
15 years 3 months ago
Detecting Functional Connectivity of the Cerebellum Using Low Frequency Fluctuations (LFFs)
Abstract. So far, resting state functional connectivity (RSFC) has been performed mainly by seed correlation analysis (SCA) on functional MRI (fMRI) studies. In previous studies, t...
Yong He, Yufeng Zang, Tianzi Jiang, Meng Liang, Ga...