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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)

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Morphological Clustering and Analysis of Continuous Intracranial Pressure., , , , and . IEEE Trans. Biomed. Engineering, 56 (3): 696-705 (2009)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)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)Noninvasive Intracranial Pressure Assessment Based on a Data-Mining Approach Using a Nonlinear Mapping Function., , , , , and . IEEE Trans. Biomed. Engineering, 59 (3): 619-626 (2012)A Data mining framework of noninvasive intracranial pressure assessment., , , and . Biomed. Signal Proc. and Control, 1 (1): 64-77 (2006)A Miniature Flexible Coil for High-SNR MRI of the Pituitary Gland., , , , , , , and . IEEE Access, (2022)A semi-automated workflow solution for multimodal neuroimaging: application to patients with traumatic brain injury., , , , , , , and . Brain Informatics, 3 (1): 1-15 (2016)Bayesian tracking of intracranial pressure signal morphology., , , , and . Artificial Intelligence in Medicine, 54 (2): 115-123 (2012)A robust approach toward recognizing valid arterial-blood-pressure pulses., , and . IEEE Trans. Information Technology in Biomedicine, 14 (1): 166-172 (2010)Improved noninvasive intracranial pressure assessment with nonlinear kernel regression., , , and . IEEE Trans. Information Technology in Biomedicine, 14 (4): 971-978 (2010)