Fabien Scalzo
Fabien Scalzo
Assistant Professor, University of California Los Angeles (UCLA)
Verified email at mednet.ucla.edu - Homepage
TitleCited byYear
Ischemia-reperfusion injury in stroke
M Nour, F Scalzo, DS Liebeskind
Interventional neurology 1 (3-4), 185-199, 2012
1572012
Reducing backward masking through action game training
R Li, U Polat, F Scalzo, D Bavelier
Journal of vision 10 (14), 33-33, 2010
1372010
Morphological clustering and analysis of continuous intracranial pressure
X Hu, P Xu, F Scalzo, P Vespa, M Bergsneider
IEEE Transactions on Biomedical Engineering 56 (3), 696-705, 2008
952008
Postischemic hyperperfusion on arterial spin labeled perfusion MRI is linked to hemorrhagic transformation in stroke
S Yu, DS Liebeskind, S Dua, H Wilhalme, D Elashoff, XJ Qiao, JR Alger, ...
Journal of Cerebral Blood Flow & Metabolism 35 (4), 630-637, 2015
542015
Intracranial pressure pulse morphological features improved detection of decreased cerebral blood flow
X Hu, T Glenn, F Scalzo, M Bergsneider, C Sarkiss, N Martin, P Vespa
Physiological measurement 31 (5), 679, 2010
542010
Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis
DS Liebeskind, AS Kosinski, MJ Lynn, F Scalzo, AK Fong, P Fariborz, ...
Journal of neuroimaging 25 (1), 87-91, 2015
45*2015
Regional prediction of tissue fate in acute ischemic stroke
F Scalzo, Q Hao, JR Alger, X Hu, DS Liebeskind
Annals of biomedical engineering 40 (10), 2177-2187, 2012
422012
Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features
F Scalzo, JR Alger, X Hu, JL Saver, KA Dani, KW Muir, AM Demchuk, ...
Magnetic resonance imaging 31 (6), 961-969, 2013
342013
Regression analysis for peak designation in pulsatile pressure signals
F Scalzo, P Xu, S Asgari, M Bergsneider, X Hu
Medical & biological engineering & computing 47 (9), 967-977, 2009
342009
Computational fluid dynamics modeling of symptomatic intracranial atherosclerosis may predict risk of stroke recurrence
X Leng, F Scalzo, HL Ip, M Johnson, AK Fong, FSY Fan, X Chen, ...
PLoS One 9 (5), 2014
312014
Feature fusion hierarchies for gender classification
F Scalzo, G Bebis, M Nicolescu, L Loss, A Tavakkoli
2008 19th International Conference on Pattern Recognition, 1-4, 2008
312008
Statistical learning of visual feature hierarchies
F Scalzo, JH Piater
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
282005
Deep learning of tissue fate features in acute ischemic stroke
N Stier, N Vincent, D Liebeskind, F Scalzo
2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015
272015
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, X Hu
IEEE transactions on biomedical engineering 59 (3), 619-626, 2010
242010
Data science of stroke imaging and enlightenment of the penumbra
F Scalzo, M Nour, DS Liebeskind
Frontiers in neurology 6, 8, 2015
232015
Intracranial hypertension prediction using extremely randomized decision trees
F Scalzo, R Hamilton, S Asgari, S Kim, X Hu
Medical engineering & physics 34 (8), 1058-1065, 2012
232012
Robust peak recognition in intracranial pressure signals
F Scalzo, S Asgari, S Kim, M Bergsneider, X Hu
Biomedical engineering online 9 (1), 61, 2010
232010
Fluid-attenuated inversion recovery vascular hyperintensity topography, novel imaging marker for revascularization in middle cerebral artery occlusion
D Liu, F Scalzo, NM Rao, JD Hinman, D Kim, LK Ali, JL Saver, W Sun, ...
Stroke 47 (11), 2763-2769, 2016
202016
Reducing false intracranial pressure alarms using morphological waveform features
F Scalzo, D Liebeskind, X Hu
IEEE Transactions on Biomedical Engineering 60 (1), 235-239, 2012
192012
Bayesian tracking of intracranial pressure signal morphology
F Scalzo, S Asgari, S Kim, M Bergsneider, X Hu
Artificial intelligence in medicine 54 (2), 115-123, 2012
182012
The system can't perform the operation now. Try again later.
Articles 1–20