5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2026
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…
physics.med-ph2022★ 5 cited
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…
physics.med-ph2018
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…