@article {2234,
	title = {Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images},
	journal = {Computers and Electronics in Agriculture},
	volume = {197},
	year = {2022},
	pages = {1-14},
	doi = {https://doi.org/10.1016/j.compag.2022.106962},
	author = {Tim Van De Looverbosch and Jiaqi, He and Astrid Tempelaere and Klaas Kelchtermans and Pieter Verboven and Tinne Tuytelaars and Jan Sijbers and Bart Nicolai}
}
@article {2164,
	title = {Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning},
	journal = {Expert Systems with Applications},
	volume = {176},
	year = {2021},
	pages = {1-12},
	doi = {https://doi.org/10.1016/j.eswa.2021.114925},
	author = {Tim Van De Looverbosch and Ellen Raeymaekers and Pieter Verboven and Jan Sijbers and Bart Nicolai}
}
@article {2018,
	title = {Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning},
	journal = {Food Control},
	volume = {113},
	year = {2020},
	pages = {1-13},
	doi = {https://doi.org/10.1016/j.foodcont.2020.107170},
	author = {Tim Van De Looverbosch and Hafizur Rahman Bhuiyan and Pieter Verboven and Manuel Dierick and Van Loo, D. and Jan De Beenhouwer and Jan Sijbers and Bart Nicolai}
}
@article {1848,
	title = {Combination of shape and X-ray inspection for apple internal quality control: in silico analysis of the methodology based on X-ray computed tomography},
	journal = {Postharvest Biology and Technology},
	volume = {148},
	year = {2019},
	pages = {218-227},
	doi = {https://doi.org/10.1016/j.postharvbio.2018.05.020},
	author = {Mattias Van Dael and Pieter Verboven and Angelo Zanella and Jan Sijbers and Bart Nicolai}
}
@article {1816,
	title = {Neural network Hilbert transform based filtered backprojection for fast inline X-ray inspection},
	journal = {Measurement Science and Technology},
	volume = {29},
	year = {2018},
	doi = {10.1088/1361-6501/aa9de3},
	author = {Eline Janssens and Jan De Beenhouwer and Mattias Van Dael and Thomas De Schryver and Luc Van Hoorebeke and Pieter Verboven and Bart Nicolai and Jan Sijbers}
}
@article {1779,
	title = {Building 3D Statistical Shape Models of Horticultural Products},
	journal = {Food and Bioprocess Technology},
	volume = {10},
	year = {2017},
	pages = {2100-2112},
	doi = {10.1007/s11947-017-1979-z },
	author = {Femke Danckaers and Toon Huysmans and Mattias Van Dael and Pieter Verboven and Bart Nicolai and Jan Sijbers}
}
@inproceedings {1754,
	title = {Comparison of methods for online inspection of apple internal quality},
	booktitle = {7th Conference on Industrial Computed Tomography},
	year = {2017},
	address = {Leuven, Belgium},
	url = {http://www.ndt.net/events/iCT2017/app/content/Extended_Abstract/35_VanDael.pdf},
	author = {Mattias Van Dael and Pieter Verboven and Luc Van Hoorebeke and Jan Sijbers and Bart Nicolai}
}
@article {1761,
	title = {Inline Discrete Tomography system: application to agricultural product inspection},
	journal = {Computers and Electronics in Agriculture},
	volume = {138},
	year = {2017},
	pages = {117{\textendash}126},
	doi = {https://doi.org/10.1016/j.compag.2017.04.010},
	author = {Luis Filipe Alves Pereira and Eline Janssens and George D C Cavalcanti and Ing Ren Tsang and Mattias Van Dael and Pieter Verboven and Bart Nicolai and Jan Sijbers}
}
@article {1759,
	title = {Multisensor X-ray inspection of internal defects in horticultural products},
	journal = {Postharvest Biology and Technology},
	volume = {128},
	year = {2017},
	month = {June},
	pages = {33{\textendash}43},
	doi = {https://doi.org/10.1016/j.postharvbio.2017.02.002},
	author = {Mattias Van Dael and Pieter Verboven and Jelle Dhaene and Luc Van Hoorebeke and Jan Sijbers and Bart Nicolai}
}
@mastersthesis {1783,
	title = {Online quality control of fruit and vegetables using X-ray imaging},
	volume = {Doctor of Bioscience Engineering},
	year = {2017},
	type = {PhD thesis},
	author = {Mattias Van Dael}
}
@article {1778,
	title = {Automated quality control and selection },
	number = {PCT/EP2016/055718},
	year = {2016},
	chapter = {WO2016146703 A1},
	author = {Mattias Van Dael and Pieter Verboven and Bart Nicolai and Jelle Dhaene and Luc Van Hoorebeke and Jan Sijbers}
}
@conference {1694,
	title = {Building a statistical shape model of the interior and exterior of the bell pepper},
	volume = {28-30 November},
	year = {2016},
	address = {Vienna, Austria},
	author = {Femke Danckaers and Toon Huysmans and Seppe Rogge and Mattias Van Dael and Pieter Verboven and Bart Nicolai and Jan Sijbers}
}
@conference {1728,
	title = {Combining 3D vision and X-ray radiography for internal quality inspection of foods},
	year = {2016},
	month = {28-30 November},
	address = {Austrian Economic Chamber, Vienna, Austria},
	author = {Mattias Van Dael and Femke Danckaers and Thomas De Schryver and Toon Huysmans and Pieter Verboven and Luc Van Hoorebeke and Jan Sijbers and Bart Nicolai}
}
@article {1665,
	title = {Fast inline inspection by neural network based filtered backprojection: Application to apple inspection},
	journal = {Case Studies in Nondestructive Testing and Evaluation},
	volume = {6},
	year = {2016},
	pages = {14{\textendash}20},
	doi = {10.1016/j.csndt.2016.03.003},
	author = {Eline Janssens and Luis Filipe Alves Pereira and Jan De Beenhouwer and Ing Ren Tsang and Mattias Van Dael and Pieter Verboven and Bart Nicolai and Jan Sijbers}
}
@inproceedings {1663,
	title = {Fast X-ray Computed Tomography via Image Completion},
	booktitle = {6th Conference on Industrial Computed Tomography(iCT)},
	year = {2016},
	pages = {1-5},
	address = {Wels, Austria},
	author = {Luis Filipe Alves Pereira and Eline Janssens and Mattias Van Dael and Pieter Verboven and Bart Nicolai and George D C Cavalcanti and Ing Jyh Tsang and Jan Sijbers}
}
@article {1708,
	title = {In-line NDT with X-Ray CT combining sample rotation and translation},
	journal = {NDT \& E International},
	volume = {89},
	year = {2016},
	pages = {89{\textendash}98},
	doi = {10.1016/j.ndteint.2016.09.001},
	author = {Thomas De Schryver and Jelle Dhaene and Manuel Dierick and Boone, M.N. and Eline Janssens and Jan Sijbers and Mattias Van Dael and Pieter Verboven and Bart Nicolai and Luc Van Hoorebeke}
}
@article {1612,
	title = {A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs},
	journal = {Postharvest Biology and Technology},
	volume = {112},
	year = {2016},
	pages = {205-214},
	doi = {10.1016/j.postharvbio.2015.09.020},
	author = {Mattias Van Dael and S Lebotsa and E Herremans and Pieter Verboven and Jan Sijbers and U. L. Opara and U. L. Cronje and Bart Nicolai}
}
@conference {1765,
	title = {Understanding microstructural deformation of apple tissue from 4D micro-CT imaging},
	year = {2016},
	doi = {10.17660/ActaHortic.2018.1197.2},
	author = {Wang, Z and Seppe Rogge and Mattias Van Dael and Vincent Van Nieuwenhove and Pieter Verboven and Jan Sijbers and Bart Nicolai}
}
@article {1582,
	title = {Building a Statistical Shape Model of the Apple from Corresponded Surfaces},
	journal = {Chemical Engineering Transactions},
	volume = {44},
	year = {2015},
	pages = {49-54},
	address = {Milano, Italy},
	abstract = {In this paper, a method for building a 3D statistical shape model of the apple is described. The framework consists of two parts. First, a reference surface is registered to each apple surface, derived from 3D CT scans of apples, of the population to obtain meaningful correspondences between the shapes. In the second part, the corresponded surfaces are used to build a statistical shape model from the population of apples. This model maps out the variability within the population and by adapting the shape model parameters, new, realistic surfaces can be obtained. By parameterizing the surface, an apple can be described with a compact set of basis functions, which has applications in surface fitting description, recognition, or meshing, e.g. for storage simulation. The constructed apple shape model is tested on performance and has proven to be a good representation of the population and can be used in many applications.},
	doi = { DOI:10.3303/CET1544009},
	author = {Femke Danckaers and Toon Huysmans and Mattias Van Dael and Pieter Verboven and Bart Nicolai and Jan Sijbers}
}
@article {1591,
	title = {Fast Neural Network Based X-Ray Tomography of Fruit on a Conveyor Belt},
	journal = {Chemical Engineering Transactions},
	volume = {44},
	year = {2015},
	pages = {181-186},
	address = {Milano, Italy},
	doi = {10.3303/CET1544031},
	author = {Eline Janssens and Daan Pelt and Jan De Beenhouwer and Mattias Van Dael and Pieter Verboven and Bart Nicolai and Jan Sijbers}
}
@inproceedings {1576,
	title = {Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt},
	booktitle = {IEEE International Conference on Image Processing},
	year = {2015},
	month = {Sept 21-27},
	pages = {917-921},
	doi = {10.1109/ICIP.2015.7350933},
	author = {Eline Janssens and Jan De Beenhouwer and Mattias Van Dael and Pieter Verboven and Bart Nicolai and Jan Sijbers}
}
@article {1587,
	title = {Online Tomato Inspection Using X-Ray Radiographies and 3- Dimensional Shape Models},
	journal = {Chemical Engineering Transactions},
	volume = {44},
	year = {2015},
	pages = {37-42},
	isbn = {978-88-95608-35-8},
	doi = {10.3303/CET1544007},
	author = {Mattias Van Dael and Seppe Rogge and Pieter Verboven and Wouter Saeys and Jan Sijbers and Bart Nicolai}
}
@article {1998,
	title = {Tomography for in-line product inspection},
	number = {EP3106863A1},
	year = {2015},
	chapter = {EP3106863A1},
	author = {Thomas De Schryver and Manuel Dierick and Luc Van Hoorebeke and Pieter Verboven and Mattias Van Dael and Jan Sijbers}
}
