Paul M. Vespa
Affiliations:- UCLA, Department of Neurosurgery, David Geffen School of Medicine, Los Angeles, USA
According to our database1,
Paul M. Vespa
authored at least 24 papers
between 2007 and 2021.
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Bibliography
2021
Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI.
Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021
Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2019
A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity.
Proceedings of the 2019 Spring Simulation Conference, 2019
2018
Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach.
NeuroImage, 2018
Analytic Tools for Post-traumatic Epileptogenesis Biomarker Search in Multimodal Dataset of an Animal Model and Human Patients.
Frontiers Neuroinformatics, 2018
2017
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach.
CoRR, 2017
2016
Comput. Vis. Image Underst., 2016
A semi-automated workflow solution for multimodal neuroimaging: application to patients with traumatic brain injury.
Brain Informatics, 2016
2015
Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury.
Proceedings of the Data Integration in the Life Sciences - 11th International Conference, 2015
2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes via the Bhattacharyya Distance.
IEEE Trans. Biomed. Eng., 2013
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Noninvasive Intracranial Pressure Assessment Based on a Data-Mining Approach Using a Nonlinear Mapping Function.
IEEE Trans. Biomed. Eng., 2012
A patient-specific segmentation framework for longitudinal MR images of traumatic brain injury.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Subpeak regional analysis of intracranial pressure waveform morphology based on cerebrospinal fluid hydrodynamics in the cerebral aqueduct and prepontine cistern.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Forecasting ICP Elevation Based on Prescient Changes of Intracranial Pressure Waveform Morphology.
IEEE Trans. Biomed. Eng., 2010
2009
IEEE Trans. Biomed. Eng., 2009
2007
Characterization of Interdependency Between Intracranial Pressure and Heart Variability Signals: A Causal Spectral Measure and a Generalized Synchronization Measure.
IEEE Trans. Biomed. Eng., 2007
Estimation of Hidden State Variables of the Intracranial System Using Constrained Nonlinear Kalman Filters.
IEEE Trans. Biomed. Eng., 2007