A Continuum Model for Metabolic Gas Exchange in Pear Fruit. - Q. Tri Ho; Pieter Verboven; Bert E. Verlinden; Jeroen Lammertyn; Stefan Vandewalle; Bart M. Nicolaï (PLoS Comput. Biol., 2008)

Neural netwok based X-ray tomography for fast inspection of apples on a conveyor belt system. - Eline Janssens; Jan De Beenhouwer; Mattias Van Dael; Pieter Verboven; Bart M. Nicolaï; Jan Sijbers (ICIP, 2015)

Wind tunnel and CFD study of dust dispersion from pesticide-treated maize seed. - Wouter Devarrewaere; Udo Heimbach; Dieter Foqué; Bart M. Nicolaï; David Nuyttens; Pieter Verboven (Comput. Electron. Agric., 2016)

Characterizing apple microstructure via directional statistical correlation functions. - Antonio Derossi; Bart M. Nicolaï; Pieter Verboven; Carla Severini (Comput. Electron. Agric., 2017)

Inline discrete tomography system: Application to agricultural product inspection. - Luis Filipe Alves Pereira; Eline Janssens; George D. C. Cavalcanti; Ing Ren Tsang; Mattias Van Dael; Pieter Verboven; Bart M. Nicolaï; Jan Sijbers (Comput. Electron. Agric., 2017)

Virtual cold chain method to model the postharvest temperature history and quality evolution of fresh fruit - A case study for citrus fruit packed in a single carton. - Wentao Wu; Paul Cronjé; Bart M. Nicolaï; Pieter Verboven; Umezuruike Linus Opara; Thijs Defraeye (Comput. Electron. Agric., 2018)

Quantitative Postharvest Loss Assessment of Tomato Along the Postharvest Supply Chain in Northwestern Ethiopia. - Eskindir E. Tadesse; Hirut Assaye; Mulugeta Admasu Delele; Solomon Workneh Fanta; Dawit F. Huluka; Melkamu Alemayehu; Getachew Alemayehu; Enyew Adgo; Jan Nyssen; Pieter Verboven; Bart M. Nicolaï (ICAST (1), 2020)

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)

Deep Learning for Apple Fruit Quality Inspection using X-Ray Imaging. - Astrid Tempelaere; Leen Van Doorselaer; Jiaqi He; Pieter Verboven; Tinne Tuytelaars; Bart M. Nicolaï (ICCV (Workshops), 2023)

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)

Unsupervised anomaly detection for pome fruit quality inspection using X-ray radiography. - Astrid Tempelaere; Jiaqi He; Leen Van Doorselaer; Pieter Verboven; Bart M. Nicolaï; Mario Valerio Giuffrida (Comput. Electron. Agric., 2024)

Predicting the 3D bone structure of pork shoulders using X-ray imaging and statistical shape modeling. - Michiel Pieters; Pieter Verboven; Bart M. Nicolaï (Comput. Electron. Agric., 2025)

Model prediction of plant morphology, water flows and xylem water potential in a growing tomato plant under heterogeneous growing conditions. - Jakub Salagovic; Pieter Verboven; Maarten Hertog; Bram Van de Poel; Bart M. Nicolaï (Comput. Electron. Agric., 2025)