Statistical Segmentation of fMRI Activations Using Contextual Clustering
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[1] Karl J. Friston,et al. Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging , 1997, NeuroImage.
[2] Karl J. Friston,et al. Statistical parametric maps in functional imaging: A general linear approach , 1994 .
[3] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .
[4] J Xiong,et al. Assessment and optimization of functional MRI analyses , 1996, Human brain mapping.
[5] Karl J. Friston,et al. Analysis of functional MRI time‐series , 1994, Human Brain Mapping.
[6] Karl J. Friston,et al. Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.
[7] Jonathan D. Cohen,et al. Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.
[8] Iwao Kanno,et al. Activation detection in functional MRI using subspace modeling and maximum likelihood estimation , 1999, IEEE Transactions on Medical Imaging.
[9] William Mendenhall,et al. Introduction to Probability and Statistics , 1961, The Mathematical Gazette.
[10] K. Kwong. Functional magnetic resonance imaging with echo planar imaging. , 1995, Magnetic resonance quarterly.
[11] J. Susan Milton,et al. Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences , 1990 .
[12] William M. Wells,et al. Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 , 1998, Lecture Notes in Computer Science.
[13] Guido Gerig,et al. Detecting and Inferring Brain Activation from Functional MRI by Hypothesis-Testing Based on the Likelihood Ratio , 1998, MICCAI.