Grey-level morphology combined with an artificial neural networks approach for multimodal segmentation of the Hippocampus
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[1] Joakim Lindblad. Histogram thresholding using kernel density estimates , 2000 .
[2] Robert M. Haralick,et al. Predicting expected gray level statistics of opened signals , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] Edward R. Dougherty,et al. Model-based characterization of statistically optimal design for morphological shape recognition algorithms via the hit-or-miss transform , 1992, J. Vis. Commun. Image Represent..
[4] J. Ehrhardt,et al. Measurement of brain structures with artificial neural networks: two- and three-dimensional applications. , 1999, Radiology.
[5] Ronald Jones,et al. Algorithms for the Decomposition of Gray-Scale Morphological Operations , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[6] D. Berdichevsky,et al. Improved Methods for Image Registration , 1996, NeuroImage.
[7] Jean Serra,et al. Image Analysis and Mathematical Morphology , 1983 .
[8] Rafael C. González,et al. Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Edward R. Dougherty. Application of the Hausdorff metric in gray-scale mathematical morphology via truncated umbrae , 1991, J. Vis. Commun. Image Represent..
[10] N C Andreasen,et al. A new method for the in vivo volumetric measurement of the human hippocampus with high neuroanatomical accuracy , 2000, Hippocampus.
[11] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[12] J C Mazziotta,et al. Automated image registration: II. Intersubject validation of linear and nonlinear models. , 1998, Journal of computer assisted tomography.
[13] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[14] Daniel S. O'Leary,et al. Manual and Semiautomated Measurement of Cerebellar Subregions on MR Images , 2002, NeuroImage.
[15] Roger Hult. Grey-level morphology based segmentation of MRI of the human cortex , 2001, Proceedings 11th International Conference on Image Analysis and Processing.
[16] N C Andreasen,et al. Improving tissue classification in MRI: a three-dimensional multispectral discriminant analysis method with automated training class selection. , 1999, Journal of computer assisted tomography.
[17] Lennart Thurfjell,et al. Segmentation of the Brain in MRI Using Grey Level Morphology and Propagation of Information , 1999 .
[18] Guillermo Sapiro,et al. Implementing continuous-scale morphology via curve evolution , 1993, Pattern Recognit..
[19] G. Rösel,et al. Pareto-Morphology for Color Image Processing , 2000 .
[20] Edward R. Dougherty. Euclidean gray-scale granulometries: Representation and umbra inducement , 2004, Journal of Mathematical Imaging and Vision.
[21] J. Talairach,et al. Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .
[22] Edward R. Dougherty. Unification of nonlinear filtering in the context of binary logical calculus, part II: Gray-scale filters , 2004, Journal of Mathematical Imaging and Vision.
[23] Bogdan Raducanu,et al. A grayscale hit-or-miss transform based on level sets , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).
[24] Greg Harris,et al. Structural MR image processing using the BRAINS2 toolbox. , 2002, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[25] Henk J. A. M. Heijmans,et al. Grey-Scale Morphology Based on Fuzzy Logic , 2002, Journal of Mathematical Imaging and Vision.