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Disambiguation of "Vespa, Paul M."

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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)

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PD Dr. Simon Paulus University of Stuttgart

Prof. Dr. Paul Keller University of Stuttgart

Paul Betz University of Stuttgart

Moritz Paul University of Stuttgart

Kerstin Paul University of Stuttgart

 

Other publications of authors with the same name

A semi-automated workflow solution for multimodal neuroimaging: application to patients with traumatic brain injury., , , , , , , and . Brain Informatics, 3 (1): 1-15 (2016)Analytic Tools for Post-traumatic Epileptogenesis Biomarker Search in Multimodal Dataset of an Animal Model and Human Patients., , , , , , , , , and . Front. Neuroinform., (2018)Modeling 4D pathological changes by leveraging normative models., , , , , , , , and . Computer Vision and Image Understanding, (2016)Forecasting ICP Elevation Based on Prescient Changes of Intracranial Pressure Waveform Morphology., , , , and . IEEE Trans. Biomed. Engineering, 57 (5): 1070-1078 (2010)Characterization of Interdependency Between Intracranial Pressure and Heart Variability Signals: A Causal Spectral Measure and a Generalized Synchronization Measure., , , and . IEEE Trans. Biomed. Engineering, 54 (8): 1407-1417 (2007)Estimation of Hidden State Variables of the Intracranial System Using Constrained Nonlinear Kalman Filters., , , , , and . IEEE Trans. Biomed. Engineering, 54 (4): 597-610 (2007)Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury., , , and . DILS, volume 9162 of Lecture Notes in Computer Science, page 165-179. Springer, (2015)High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method., , , , , and . ISBI, page 990-993. (2013)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 Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity., , , , , and . SpringSim, page 1-11. IEEE, (2019)