6 citations · 17 across the 4 of their papers we have counts for
4 papers
Automated binary classification of hazelnut X-ray images: A deep-learning benchmark for quality assessment
Giancarlo Sportelli, Nicola Belcari, Roberta Pace +4
Non-destructive X-ray imaging can reveal internal hazelnut defects that are difficult to detect by external inspection alone; however, automated interpretation remains challenging…
Analysis methods for in-beam PET images in proton therapy treatment verification: a comparison based on Monte Carlo simulations
M. Moglioni, A. C. Kraan, A. Berti +13
Background and purpose: In-beam Positron Emission Tomography (PET) is one of the modalities that can be used for in-vivo non-invasive treatment monitoring in proton therapy. PET di…
Analysis of time-profiles with in-beam PET monitoring in charged particle therapy
A. C. Kraan, S. Muraro, G. Battistoni +14
Background: Treatment verification with PET imaging in charged particle therapy is conventionally done by comparing measurements of spatial distributions with Monte Carlo (MC) pred…
First tests for an online treatment monitoring system with in-beam PET for proton therapy
Aafke C. Kraan, G. Battistoni, N. Belcari +13
PET imaging is a non-invasive technique for particle range verification in proton therapy. It is based on measuring the beta+ annihilations caused by nuclear interactions of the pr…