Piero Policastro

PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)

Profile

PhD

Research topic

Pulsatility of blood vessels from ultrasound scans

Tutors

Research interests

Biomedical devices and applications

Biography

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

Curriculum

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Skills

ERC sectors

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

Research

Research groups

Publications

Last years publications

PoliTO co-authors

Publications by type

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