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ISBI
2004
IEEE
14 years 5 months ago
Clustering-Based Framework for Comparing fMRI Analysis Methods
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...
Hamid Soltanian-Zadeh, Gholam-Ali Hossein-Zadeh, A...
TMI
1998
155views more  TMI 1998»
13 years 4 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
14 years 4 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...
ISBI
2004
IEEE
14 years 5 months ago
Probabilistic ICA for fMRI
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
Christian Beckmann
IPMI
2005
Springer
14 years 5 months ago
From Spatial Regularization to Anatomical Priors in fMRI Analysis
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
Wanmei Ou, Polina Golland