@inproceedings {2292, title = {The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis}, booktitle = {31st European Signal Processing Conference, EUSIPCO}, year = {2023}, author = {Luis Filipe Alves Pereira and Jan De Beenhouwer and Jan Sijbers} } @article {2264, title = {Fast and accurate pose estimation of additive manufactured objects from few X-ray projections}, journal = {Expert Systems With Applications}, volume = {213}, year = {2023}, pages = {1-10}, doi = {https://doi.org/10.1016/j.eswa.2022.118866}, author = {Alice Presenti and Liang, Zhihua and Luis Filipe Alves Pereira and Jan Sijbers and Jan De Beenhouwer} } @inproceedings {2281, title = {Sparse-view Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks}, booktitle = {IEEE International Symposium on Biomedical Imaging (ISBI)}, year = {2023}, pages = {880-884}, doi = { https://doi.org/10.23919/EUSIPCO58844.2023.10289781}, author = {Luis Filipe Alves Pereira and Jan De Beenhouwer and Jan Sijbers} } @article {2236, title = {Automatic anomaly detection from X-ray images based on autoencoder}, journal = {Nondestructive Testing and Evaluation}, volume = {37}, year = {2022}, doi = {10.1080/10589759.2022.2074415}, author = {Alice Presenti and Zhihua Liang and Luis Filipe Alves Pereira and Jan Sijbers and Jan De Beenhouwer} } @article {2257, title = {Automatic landmark detection and mapping for 2D/3D registration with BoneNet}, journal = {Frontiers Veterinary Science}, year = {2022}, doi = {https://doi.org/10.3389/fvets.2022.923449}, author = {Van Nguyen and Luis Filipe Alves Pereira and Liang, Zhihua and Falk Mielke and Jeroen Van Houtte and Jan Sijbers and Jan De Beenhouwer} } @inproceedings {2194, title = {CNN-based pose estimation from a single X-ray projection for 3D inspection of manufactured objects}, booktitle = {11th Conference on Industrial Computed Tomography}, year = {2022}, author = {Alice Presenti and Zhihua Liang and Luis Filipe Alves Pereira and Jan Sijbers and Jan De Beenhouwer} } @inproceedings {2201, title = {CNN-based Pose Estimation of Manufactured Objects During Inline X-ray Inspection}, booktitle = {2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)}, year = {2021}, abstract = {X-ray Computed Tomography (CT) is a nondestructive technique widely used for inspection of manufactured objects generated from a reference computer-aided-design (CAD) representation. In a conventional CT inspection framework, a volumetric reconstruction is computed from a large number of X-ray projections of the object. Afterwards, a surface is extracted, aligned and compared to the CAD model. For an accurate comparison, a high-resolution reconstruction is needed, requiring hundreds of projections, making this procedure not suitable for real-time inspection. In contrast to CT-based inspection, radiograph-based inspection only requires a few radiographs that then can be compared with simulated projections from the reference CAD model. For an effective comparison, however, an accurate 3D pose estimation of the object and consequent alignment between the measured object and the reference model are crucial. In this paper, we present an inline projection-based 3D pose estimation framework using convolutional neural networks (CNNs). Through realistic simulation experiments, we show that, with only two projections, estimation of the pose of the object is possible at the resolution of the acquisition system.}, author = {Alice Presenti and Zhihua Liang and Luis Filipe Alves Pereira and Jan Sijbers and Jan De Beenhouwer} } @inproceedings {2158, title = {A Deep Convolutional Framelet Network based on Tight Steerable Wavelet: application to sparse-view medical tomosynthesis}, booktitle = { International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine}, year = {2021}, author = {Luis Filipe Alves Pereira and Vincent Van Nieuwenhove and Jan De Beenhouwer and Jan Sijbers} } @inproceedings {2072, title = {Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks}, booktitle = {ICTAI 2020}, year = {2020}, author = {Luis Filipe Alves Pereira and Jan De Beenhouwer and Johann Kastner and Jan Sijbers} } @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 {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} } @inproceedings {1500, title = {Conveyor belt X-ray CT using Domain Constrained Discrete Tomography}, booktitle = {Sibgrapi conference on Graphics, Patterns and Images}, year = {2014}, pages = {290 - 297}, doi = {10.1109/SIBGRAPI.2014.21}, author = {Luis Filipe Alves Pereira and Andrei Dabravolski and Ing Ren Tsang and George D C Cavalcanti and Jan Sijbers} } @inproceedings {1401, title = {Inline 3D X-ray Inspection of Food using Discrete Tomography}, booktitle = {InsideFood Symposium}, year = {2013}, address = {Leuven, Belgium}, author = {Luis Filipe Alves Pereira and Roelandts, Tom and Jan Sijbers} }