Piero Policastro

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38^o cycle (2022-2025)
Dipartimento di Elettronica e Telecomunicazioni (DET)

piero.policastro@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

Analisi della pulsatilità venosa attraverso scansioni ad ultrasuoni

Tutori

Interessi di ricerca

Biomedical devices and applications

Biografia

Qualifications

Work experience

Master degree in Biomedical Engineering E-Health (Polytechnic of Turin)
(2018-2020)
Thesis
APPLICATION OF BAYESIAN NETWORKS TO THE AUTOMATIC ANALYSIS OF HISTOPATHOLOGICAL IMAGES.
The aim of this thesis was to create a data cleaning framework that would allow to discern within a dataset between significant and spurious images. in order to achieve this goal, it was used deep Bayesian networks. In the framework were also implemented additional methods to process the "whole slides" through multithreading and a section dedicated to the development of ui. Starting from this framework, two applications were developed, one for analysis and the other for data cleaning.
Thesis supervisor: Di Cataldo S., Ponzio F. (DAUIN)
FINAL VOTE: 110 CUM LAUDE.

Bachelor's degree in Biomedical Engineering (Polytechnic of Turin)
(2014-2018)

Phd student in Electrical, Electronics and Communications Engineering

Internship “Clinica Fornaca”
Oct. 2017 – Mar.2018

Part time collaboration in the Clinical informatics and Neuro-engineering courses
Oct. 2019 – Mar. 2020

Researcher fellow at the Polytechnic of Turin, Viper srl
July 2020 - November 2022

Competenze

Settori ERC

PE6_7 - Artificial intelligence, intelligent systems, natural language processing

LS7_14 - Digital medicine, e-medicine, medical applications of artificial intelligence

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

PE7_7 - Signal processing

SDG

Goal 3: Good health and well-being

Ricerca

Gruppi di ricerca

Mathematical Biology and Physiology

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Policastro, Piero; Chiarion, Giovanni; Ponzio, Francesco; Ermini, Leonardo; Civera, ... (2023)
Detection of Inferior Vena Cava in Ultrasound Scans through a Deep Learning Model. In: ELECTRONICS, vol. 12, pp. 1-13. ISSN 2079-9292
Contributo su Rivista
Mesin, Luca; Policastro, Piero; Re, Andrea; Sanson, Cristian; Albani, Stefano; Petersen, ... (2022)
271 AUTOMATED REAL TIME ECHOCARDIOGRAPHIC TOOL FOR EDGE TRACKING OF INFERIOR VENA CAVA AND NON-INVASIVE ESTIMATION OF RIGHT ATRIAL PRESSURE. In: EUROPEAN HEART JOURNAL SUPPLEMENTS, vol. 24. ISSN 1520-765X
Contributo su Rivista
Mesin, Luca; Floris, Luca; Policastro, Piero; Albani, Stefano; Scacciatella, Paolo; ... (2022)
Estimation of Aortic Stiffness with Bramwell–Hill Equation: A Comparative Analysis with Carotid–Femoral Pulse Wave Velocity. In: BIOENGINEERING, vol. 9. ISSN 2306-5354
Contributo su Rivista
Mesin, L.; Policastro, P.; Albani, S.; Petersen, C.; Sciarrone, P.; Taddei, C.; ... (2022)
Non-Invasive Estimation of Right Atrial Pressure Using a Semi-Automated Echocardiographic Tool for Inferior Vena Cava Edge-Tracking. In: JOURNAL OF CLINICAL MEDICINE, vol. 11. ISSN 2077-0383
Contributo su Rivista
Seddone, Stefano; Ermini, Leonardo; Policastro, Piero; Mesin, Luca; Roatta, Silvestro (2022)
Evidence that large vessels do affect near infrared spectroscopy. In: SCIENTIFIC REPORTS, vol. 12. ISSN 2045-2322
Contributo su Rivista