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Characterization of Interdependency Between Intracranial Pressure and Heart Variability Signals: A Causal Spectral Measure and a Generalized Synchronization Measure.

X. Hu, V. Nenov, P. Vespa, and M. Bergsneider. IEEE Trans. Biomed. Eng., 54 (8): 1407-1417 (2007)

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Mauro Vespa

Paul M Malone

Paul M Jungmann

Paul M Zulehner

Paul M Haberland

Other publications of authors with the same name

Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI.M. Akbar, S. Ruf, M. Rocca, R. Garner, G. Barisano, R. Cua, P. Vespa, D. Erdogmus, and D. Duncan. CDMRI@MICCAI, volume 13006 of Lecture Notes in Computer Science, page 133-143. Springer, (2021)Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning.R. Faghihpirayesh, S. Ruf, M. Rocca, R. Garner, P. Vespa, D. Erdogmus, and D. Duncan. EMBC, page 302-305. IEEE, (2021)Forecasting ICP Elevation Based on Prescient Changes of Intracranial Pressure Waveform Morphology.X. Hu, P. Xu, S. Asgari, P. Vespa, and M. Bergsneider. IEEE Trans. Biomed. Eng., 57 (5): 1070-1078 (2010)Characterization of Interdependency Between Intracranial Pressure and Heart Variability Signals: A Causal Spectral Measure and a Generalized Synchronization Measure.X. Hu, V. Nenov, P. Vespa, and M. Bergsneider. IEEE Trans. Biomed. Eng., 54 (8): 1407-1417 (2007)Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury.A. Irimia, S. Goh, P. Vespa, and J. Horn. DILS, volume 9162 of Lecture Notes in Computer Science, page 165-179. Springer, (2015)Noninvasive Intracranial Pressure Assessment Based on a Data-Mining Approach Using a Nonlinear Mapping Function.S. Kim, F. Scalzo, M. Bergsneider, P. Vespa, N. Martin, and X. Hu. IEEE Trans. Biomed. Eng., 59 (3): 619-626 (2012)High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method.S. Goh, A. Irimia, C. Torgerson, R. Kikinis, P. Vespa, and J. Horn. ISBI, page 990-993. IEEE, (2013)A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity.R. Garner, M. Rocca, G. Barisano, A. Toga, D. Duncan, and P. Vespa. SpringSim, page 1-11. IEEE, (2019)Enlarged Perivascular Spaces in Frontal and Temporal Cortical Regions Characterize Seizure Outcome After Traumatic Brain Injury.C. Alba, G. Barisano, A. Bennett, A. Sharma, P. Vespa, and D. Duncan. ISBI, page 1-4. IEEE, (2024)Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes via the Bhattacharyya Distance.Y. Lou, A. Irimia, P. Vela, M. Chambers, J. Horn, P. Vespa, and A. Tannenbaum. IEEE Trans. Biomed. Eng., 60 (9): 2511-2520 (2013)

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Disambiguation of "Vespa, Paul M."