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» Brain Image Analysis Using Spherical Splines
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ISBI
2006
IEEE
14 years 3 months ago
x-f SENSE: optimal spatio-temporal sensitivity encoding for dynamic MR imaging
For high quality MR imaging of time-varying objects such as beating heart or brain hemodynamics, we need to reduce signal acquisition time without sacrificing the spatial resolut...
Jinhee Kim, Jong Chul Ye, Jaehung Yoo
MICCAI
2004
Springer
14 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...
ISBI
2004
IEEE
14 years 10 months ago
Statistical Surface-Based Morphometry Using a Non-Parametric Approach
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...
ICASSP
2011
IEEE
13 years 1 months ago
Data-driven fMRI group classification using connected components and Gaussian process classifiers
Functional magnetic resonance imaging (fMRI) is a popular tool for studying brain activity due to its non-invasiveness. Conventionally an expected response needs to be available f...
Sarah Lee, Fernando Zelaya, Yohan Samarasinghe, St...
HCI
2009
13 years 7 months ago
Mind-Mirror: EEG-Guided Image Evolution
Abstract. We propose a brain-computer interface (BCI) system for evolving images in realtime based on subject feedback derived from electroencephalography (EEG). The goal of this s...
Nima Bigdely Shamlo, Scott Makeig