SCARPA FABIO

Contacts
E-mail
Cf868b9710cdc906d6613bd557a5a911
bring this page
with you
Structure Department of Information Engineering
Qualification Assegnista di ricerca
Scientific sector ING-INF/06 - ELECTRONIC AND INFORMATION BIOENGINEERING
University telephone book  Show
 

Curriculum Vitae
In October 2005 I received the master’s degree (five years graduate program) in Electronic Engineering at the University of Padova. My thesis received the “Premio di Laurea inTESI 2005” prize.

From January 2006 to December 2008, I was Ph.D. student in BioEngineering at the Department of Information Engineering, University of Padova.
I defended the thesis “Automatic analysis of confocal images of the cornea” in March 2009.

From February 2006 to January 2009, I was Software Engineer at Nidek Technologies (Albignasego, Padova). Nidek Technologies is a company which specializes in the research, development and production of high-technology diagnostic instruments and informatics systems for the ophthalmology sector. It's a wholly owned subsidiary of NIDEK Co. Ltd (Japan).

From February 2009 to February 2013, I was Postdoctoral Fellow at the Department of Developmental Psychology, University of Padova.

I'm currently Postdoctoral Fellow at the Department of Information Engineering, University of Padova.

My research activity deals with the development of innovative algorithms for signal processing and image processing in the biomedical field. My main research interests are: image classification, image segmentation, neural networks, machine learning, deep learning, artificial intelligence.

Research areas
My research activity deals with the development of innovative algorithms for signal processing and image processing in the biomedical field. My main research interests are: image classification, image segmentation, neural networks, machine learning, deep learning, artificial intelligence.

Publications
F. Scarpa, M. Rubega, M. Zanon, F. Finotello, A.S. Sejling, G. Sparacino (2017) “Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm”. Biomedical Signal Processing and Control.

F. Scarpa, A. Ruggeri (2016) “Development of a reliable automated algorithm for the morphometric analysis of human corneal endothelium”. Cornea.

G. Ferrari, E. Grisan, F. Scarpa, R. Fazio, M. Comola, A. Quattrini, G. Comi, P. Rama, N. Riva (2014) “Corneal confocal microscopy reveals trigeminal small sensory fiber neuropathy in Amyotrophic Lateral Sclerosis”. Frontiers in Aging Neuroscience.

S. Brigadoi, L. Ceccherini, S. Cutini, F. Scarpa, P. Scatturin, J. Selb, L. Gagnon, D.A. Boas, R.J. Cooper (2014) “Motion artifacts in functional near–infrared spectroscopy: a comparison of motion correction techniques applied to real cognitive data”. NeuroImage.

F. Scarpa, S. Brigadoi, S. Cutini, P. Scatturin, M. Zorzi, R. Dell’Acqua, G. Sparacino (2013) “A Reference–Channel Based Methodology to Improve Estimation of Event Related Hemodynamic Response from fNIRS Measurements”. NeuroImage.

S. Cutini, F. Scarpa, P. Scatturin, R. Dell’Acqua, M. Zorzi (2014, first published online: 2012) “Number–Space Interactions in the Human Parietal Cortex: Enlightening the SNARC Effect with Functional Near–Infrared Spectroscopy”. Cerebral Cortex.

S. Brigadoi, S. Cutini, F. Scarpa, P. Scatturin, R. Dell’Acqua (2012) “Exploring the role of primary and supplementary motor areas in simple motor tasks with fNIRS”. Cognitive Processing.

F. Scarpa, X. Zheng, Y. Ohashi, A. Ruggeri (2011) “Automatic Evaluation of Corneal Nerve Tortuosity in Images from In Vivo Confocal Microscopy”. Investigative Ophthalmology & Visual Science.

S. Cutini, F. Scarpa, P. Scatturin, P. Jolicoeur, P. Pluchino, M. Zorzi, R. Dell’Acqua (2011) “A hemodynamic correlate of lateralized visual short–term memories”. Neuropsychologia.

F. Scarpa, S. Cutini, P. Scatturin, R. Dell’Acqua, G. Sparacino (2010) “Bayesian filtering of human brain hemodynamic activity elicited by visual short–term maintenance recorded through functional near–infrared spectroscopy (fNIRS)”. Optics Express.

A. Ruggeri, F. Scarpa, M. De Luca, C. Meltendorf, J. Schroeter (2010) “A system for the automatic estimation of morphometric parameters of corneal endothelium in alizarine red–stained images”. British Journal of Ophthalmology.

F. Scarpa, E. Grisan, A. Ruggeri (2008) “Automatic recognition of corneal nerve structures in images from confocal microscopy”. Investigative Ophthalmology & Visual Science.

List of taught course units in A.Y. 2018/19
No course unit for this A.Y.