Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning. - Tim Van De Looverbosch; Ellen Raeymaekers; Pieter Verboven; Jan Sijbers; Bart M. Nicolaï (Expert Syst. Appl., 2021)

Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images. - Tim Van De Looverbosch; Jiaqi He; Astrid Tempelaere; Klaas Kelchtermans; Pieter Verboven; Tinne Tuytelaars; Jan Sijbers; Bart M. Nicolaï (Comput. Electron. Agric., 2022)

Nondestructive high-throughput sugar beet fruit analysis using X-ray CT and deep learning. - Tim Van De Looverbosch; Bert Vandenbussche; Pieter Verboven; Bart M. Nicolaï (Comput. Electron. Agric., 2022)

Non-destructive internal disorder segmentation in pear fruit by X-ray radiography and AI. - Astrid Tempelaere; Hoang Minh Phan; Tim Van De Looverbosch; Pieter Verboven; Bart M. Nicolaï (Comput. Electron. Agric., 2023)

Proximity adjusted centroid mapping for accurate detection of nuclei in dense 3D cell systems. - Tim Van De Looverbosch; Sarah De Beuckeleer; Frederik De Smet; Jan Sijbers; Winnok H. De Vos (Comput. Biol. Medicine, 2025)