| We are developing automatic systems to track,
and exploit the morphology of the Intracranial Pressure
Signal to improve the understanding and treatment of various
pathophysiologies related to Traumatic Brain Injuries
Bayesian Tracking of Intracranial Pressure Signal Morphology.
F. Scalzo, S. Asgari, S. Kim, M. Bergsneider, and X. Hu. Artif Intell Med, 2011.
Robust Peak Recognition in Intracranial Pressure Signals.
F. Scalzo, S. Asgari, S. Kim, M. Bergsneider, and X. Hu. BioMed Eng OnLine, 2010.
Regression Analysis for Peak Designation in Pulsatile Pressure Signals.
F. Scalzo, P. Xu, S. Asgari, M. Bergsneider, X. Hu. Med & Biol Eng & Comp, 2009.
Clustering and Analysis of Continuous Intracranial Pressure.
X. Hu, P. Xu, F. Scalzo, P. Vespa, M. Bergsneider. IEEE TBME, 2009.
Computer Vision and Computational Fluid
Dynamics (CFD) can be used to reconstruct 3D models of the
brain vessels and simulate blood flow.
CFD Modeling of Symptomatic
Intracranial Atherosclerosis May Predict Risk of Stroke
Recurrence. X. Leng, F. Scalzo, H. Ip, M. Johnson,
A. Fong, F. Fan, X. Chen, Y. Soo, Z. Miao, L. Liu, E. Feldmann,
T. Leung, D. Liebeskind, K. Wong. Plos One. in press,
Noninvasive fractional flow on
MRA predicts stroke risk of intracranial stenosis in
SONIA/WASID. D. Liebeskind, A. Kosinski, M. Lynn,
F. Scalzo, A. Fong, P. Fariborz. Stroke. 44, 2013.
Computational Hemodynamics in Intracranial Vessels Reconstructed from Biplane Angiograms.
F. Scalzo, Q. Hao, A. Walczak, X. Hu, Y. Hoi, K. Hoffmann, D. Liebeskind. ISVC, 2010.
We develop Machine Learning models to personalize treatment and predict the outcome of stroke patients.
Prediction of Hemorrhagic Transformation in Acute Ischemic Stroke
using Permeability Imaging Features. F. Scalzo, J. Alger, X. Hu,
J. Saver, K. Dani, K. Muir, A. Demchuk, S. Coutts, M. Luby,
S. Warach, D. Liebeskind. Magn Reson Imaging. 1(6):961-9, 2013.
Regional Prediction of Tissue Fate in Acute Ischemic Stroke.
F. Scalzo, Q. Hao, X. Hu, and D. Liebeskind. Annals of Biomedical
Engineering. in press, 2012.
Noninvasive ICP based on TCD. CASIS award: tested in the International Space Station (ISS)
Hierarchical probabilistic graphical model to perform visual inference (before the Deep Learning wave)