A quantitative comparison of functional MRI cluster analysis
暂无分享,去创建一个
Kurt Hornik | Ewald Moser | Christian Windischberger | Markus Barth | Evgenia Dimitriadou | K. Hornik | C. Windischberger | E. Moser | E. Dimitriadou | M. Barth | Evgenia Dimitriadou
[1] Herbert Witte,et al. How to Avoid Spurious Cluster Validation? A Methodological Investigation on Simulated and fMRI Data , 2002, NeuroImage.
[2] R Baumgartner,et al. Quantification of intensity variations in functional MR images using rotated principal components. , 1996, Physics in medicine and biology.
[3] Robert M. Gray,et al. An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..
[4] Michael Erb,et al. Dynamical Cluster Analysis of Cortical fMRI Activation , 1999, NeuroImage.
[5] L. K. Hansen,et al. Feature‐space clustering for fMRI meta‐analysis , 2001, Human brain mapping.
[6] Ravi S. Menon,et al. Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. , 1993, Biophysical journal.
[7] E Moser,et al. Characterization of BOLD activation in multi‐echo fMRI data using fuzzy cluster analysis and a comparison with quantitative modeling , 2001, NMR in biomedicine.
[8] P. Boesiger,et al. A new correlation‐based fuzzy logic clustering algorithm for FMRI , 1998, Magnetic resonance in medicine.
[9] Ross Ihaka,et al. Gentleman R: R: A language for data analysis and graphics , 1996 .
[10] L. K. Hansen,et al. Plurality and Resemblance in fMRI Data Analysis , 1999, NeuroImage.
[11] R Baumgartner,et al. Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis. , 2000, Magnetic resonance imaging.
[12] R. Somorjai,et al. The utility of fuzzy clustering in identifying diverse activations in fMRI , 1996, NeuroImage.
[13] Kurt Hornik,et al. A Combination Scheme for Fuzzy Clustering , 2002, AFSS.
[14] R Baumgartner,et al. A hierarchical clustering method for analyzing functional MR images. , 1999, Magnetic resonance imaging.
[15] Ewald Moser,et al. Explorative signal processing in functional MR imaging , 1999, Int. J. Imaging Syst. Technol..
[16] Peter Boesiger,et al. Fuzzy membership vs. probability in cross correlation based fuzzy clustering of fMRI data , 1997 .
[17] J. Reichenbach,et al. High-resolution, multiple gradient-echo functional MRI at 1.5 T. , 1999, Magnetic Resonance Imaging.
[18] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[19] Kai-Hsiang Chuang,et al. Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy C-means , 1999, IEEE Transactions on Medical Imaging.
[20] Ray L. Somorjai,et al. Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series , 2002, Artif. Intell. Medicine.
[21] R. Somorjai,et al. Activation and deactivation in functional brain images , 1996, NeuroImage.
[22] Allen Gersho,et al. Globally optimal vector quantizer design by stochastic relaxation , 1992, IEEE Trans. Signal Process..
[23] Michael R. Anderberg,et al. Cluster Analysis for Applications , 1973 .
[24] Ray L. Somorjai,et al. Exploratory analysis of fMRI data by fuzzy clustering: philosophy, strategy, tactics, implementation , 2003 .
[25] J Hennig,et al. Neural network‐based analysis of MR time series , 1999, Magnetic resonance in medicine.
[26] R Baumgartner,et al. Fuzzy clustering of gradient‐echo functional MRI in the human visual cortex. Part II: Quantification , 1997, Journal of magnetic resonance imaging : JMRI.
[27] James C. Bezdek,et al. Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms , 1996, Neural Networks.
[28] L. K. Hansen,et al. On Clustering fMRI Time Series , 1999, NeuroImage.
[29] X Hu,et al. Analysis of functional magnetic resonance imaging data using self‐organizing mapping with spatial connectivity , 1999, Magnetic resonance in medicine.
[30] Julius T. Tou,et al. Pattern Recognition Principles , 1974 .
[31] Thomas Martinetz,et al. 'Neural-gas' network for vector quantization and its application to time-series prediction , 1993, IEEE Trans. Neural Networks.
[32] N J Pizzi,et al. EvIdent(TM): a functional magnetic resonance image analysis system , 2001, Artif. Intell. Medicine.
[33] M Diemling,et al. Modulation of signal changes in gradient-recalled echo functional MRI with increasing echo time correlate with model calculations. , 1997, Magnetic resonance imaging.
[34] Ulrich Möller,et al. Pitfalls in the Clustering of Neuroimage Data and Improvements by Global Optimization Strategies , 2001, NeuroImage.
[35] Teuvo Kohonen,et al. Self-organization and associative memory: 3rd edition , 1989 .
[36] Kurt Hornik,et al. Voting-Merging: An Ensemble Method for Clustering , 2001, ICANN.
[37] C. Windischberger,et al. Quantification in functional magnetic resonance imaging: fuzzy clustering vs. correlation analysis. , 1998, Magnetic resonance imaging.
[38] Claus Lamm,et al. Fuzzy cluster analysis of high-field functional MRI data , 2003, Artif. Intell. Medicine.
[39] Claus Lamm,et al. Human motor cortex activity during mental rotation , 2003, NeuroImage.
[40] Chung-Chih Lin,et al. Model Free Functional MRI Analysis Using Kohonen Clustering Neural Network , 1999, IEEE Trans. Medical Imaging.