Fabien Scalzo – Samueli Electrical and Computer Engineering

Fabien Scalzo

Assistant Professor in residence
Primary Area: Signals and Systems

Office: 116 NRB
Phone: (310) 596-7164
E-mail: fab@cs.ucla.edu
Research Lab: Neurovascular Imaging Research Core (http://web.cs.ucla.edu/~fab/)


Research and Teaching Interests: Medical Imaging, Machine Learning, Biomedical Engineering, Computer Vision, Signal Processing, Biomedical Informatics, Brain Mapping, Computational Fluid Dynamic

Awards and Recognitions

2016	Spitzer DGSOM Award
2010	NSF China Young Scholar Award
2008	BAEF fellow

Selected Publications

Prediction of Hemorrhagic Transformation Severity in Acute Stroke from Source Perfusion MRI.
Y. Yu, D. Guo, M. Lou, D. Liebeskind, F. Scalzo. IEEE TBME, 2017.
Perfusion Angiography in Acute Ischemic Stroke.
F. Scalzo, D. Liebeskind. Comput Math Methods Med, 2016.
Deep Learning of Tissue Fate Features in Acute Ischemic Stroke.
N. Stier, N. Vincent. D. Liebeskind, F. Scalzo. IEEE BIBM. 2015.
Regional Prediction of Tissue Fate in Acute Ischemic Stroke.
F. Scalzo, Q. Hao, J. Alger, X. Hu, and D. Liebeskind. Annals of Biomedical Engineering. May, 2012.
Reducing False Intracranial Pressure Alarms using Morphological Waveform Features.
F. Scalzo, D. Liebeskind, and X. Hu. IEEE Trans Biomed Eng. July, 2012.
Bayesian Tracking of Intracranial Pressure Signal Morphology.
F. Scalzo, S. Asgari, S. Kim, M. Bergsneider, and X. Hu. Artif Intell Med, October, 2011.