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Morphological Clustering and Analysis of Continuous Intracranial Pressure., , , , and . IEEE Trans. Biomed. Eng., 56 (3): 696-705 (2009)Improved Parametric Image Generation Using Spatial-Temporal Analysis of Dynamic PET Studies., , , and . NeuroImage, 15 (3): 697-707 (2002)Random Subwindows for Robust Peak Recognition in Intracranial Pressure Signals., , , and . ISVC (1), volume 5358 of Lecture Notes in Computer Science, page 370-380. Springer, (2008)A Data mining framework of noninvasive intracranial pressure assessment., , , and . Biomed. Signal Process. Control., 1 (1): 64-77 (2006)Noninvasive Intracranial Pressure Assessment Based on a Data-Mining Approach Using a Nonlinear Mapping Function., , , , , and . IEEE Trans. Biomed. Eng., 59 (3): 619-626 (2012)Computational Anatomy and Implicit Object Representation: A Level Set Approach., , , , and . WBIR, volume 2717 of Lecture Notes in Computer Science, page 40-49. Springer, (2003)A Miniature Flexible Coil for High-SNR MRI of the Pituitary Gland., , , , , , , and . IEEE Access, (2022)Subpeak regional analysis of intracranial pressure waveform morphology based on cerebrospinal fluid hydrodynamics in the cerebral aqueduct and prepontine cistern., , , , and . EMBC, page 3935-3938. IEEE, (2012)Nonlinear analysis of Cerebral hemodynamic and intracranial pressure signals for characterization of autoregulation., , , , , , and . IEEE Trans. Biomed. Eng., 53 (2): 195-209 (2006)Regression analysis for peak designation in pulsatile pressure signals., , , , and . Medical Biol. Eng. Comput., 47 (9): 967-977 (2009)