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ORCIDJan De Beenhouwer
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2020 – today
- 2024
[j12]Domenico Iuso
, Soumick Chatterjee, Sven Cornelissen, Dries Verhees, Jan De Beenhouwer, Jan Sijbers:
Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks. Appl. Intell. 54(24): 13160-13177 (2024)- [i3]Anh-Tuan Nguyen, Jens Renders, Domenico Iuso, Yves Maris, Jeroen Soete, Martine Wevers, Jan Sijbers, Jan De Beenhouwer:
MIRT: a simultaneous reconstruction and affine motion compensation technique for four dimensional computed tomography (4DCT). CoRR abs/2402.04480 (2024) - 2023
- [j11]Alice Presenti, Zhihua Liang, Luis Filipe Alves Pereira, Jan Sijbers, Jan De Beenhouwer:
Fast and accurate pose estimation of additive manufactured objects from few X-ray projections. Expert Syst. Appl. 213(Part): 118866 (2023) - [j10]Jens Renders, Ben Jeurissen, Anh-Tuan Nguyen, Jan De Beenhouwer, Jan Sijbers:
ImWIP: Open-source image warping toolbox with adjoints and derivatives. SoftwareX 24: 101524 (2023) - [j9]Daniel Frenkel, Nathanaël Six, Jan De Beenhouwer, Jan Sijbers:
Tabu-DART: a dynamic update strategy for efficient discrete algebraic reconstruction. Vis. Comput. 39(10): 4671-4683 (2023) - [c20]Nicholas Francken, Joaquim G. Sanctorum, Jens Renders, Pavel Paramonov, Jan Sijbers, Jan De Beenhouwer:
A Condensed History Approach to X-Ray Dark Field Effects in Edge Illumination Phase Contrast Simulations. EMBC 2023: 1-4 - [c19]Nicholas Francken, Pavel Paramonov, Jan Sijbers, Jan De Beenhouwer:
Enhancing Industrial Inspection with Efficient Edge Illumination X-Ray Phase Contrast Simulations. EUROCON 2023: 723-727 - [c18]Luis Filipe Alves Pereira, Jan De Beenhouwer, Jan Sijbers:
The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis. EUSIPCO 2023: 880-884 - [c17]Anh-Tuan Nguyen, Jens Renders, Jan Sijbers, Jan De Beenhouwer:
Region-Based Motion-Compensated Iterative Reconstruction Technique for Dynamic Computed Tomography. ISBI 2023: 1-4 - [c16]Luis Filipe Alves Pereira, Jan De Beenhouwer, Jan Sijbers:
Sparse-View Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks. ISBI 2023: 1-5 - [c15]Jens Renders, Banafshe Shafieizargar, Marleen Verhoye, Jan De Beenhouwer, Arnold J. den Dekker, Jan Sijbers:
Delta-MRI: Direct Deformation Estimation from Longitudinally Acquired K-Space Data. ISBI 2023: 1-4 - [i2]Domenico Iuso, Soumick Chatterjee, Jan De Beenhouwer, Jan Sijbers:
Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks. CoRR abs/2305.07894 (2023) - 2021
- [j8]Marina Ljubenovic, Lina Zhuang, Jan De Beenhouwer, Jan Sijbers:
Joint Deblurring and Denoising of THz Time-Domain Images. IEEE Access 9: 162-176 (2021) - [j7]Alice Presenti, Jan Sijbers, Jan De Beenhouwer:
Dynamic few-view X-ray imaging for inspection of CAD-based objects. Expert Syst. Appl. 180: 115012 (2021) - [j6]Van Nguyen, Joaquim G. Sanctorum, Sam Van Wassenbergh, Joris J. J. Dirckx, Jan Sijbers, Jan De Beenhouwer:
Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System. J. Imaging 7(3): 54 (2021) - [j5]Shabab Bazrafkan, Vincent Van Nieuwenhove, Joris Soons, Jan De Beenhouwer, Jan Sijbers:
To recurse or not to recurse: a low-dose CT study. Prog. Artif. Intell. 10(1): 65-81 (2021) - [j4]Nathanaël Six, Jens Renders, Jan Sijbers, Jan De Beenhouwer:
Gauss-Newton-Krylov for Reconstruction of Polychromatic X-Ray CT Images. IEEE Trans. Computational Imaging 7: 1304-1313 (2021) - [c14]Jens Renders, Jan De Beenhouwer, Jan Sijbers:
Mesh-Based Reconstruction of Dynamic Foam Images Using X-Ray CT. 3DV 2021: 1312-1320 - [c13]Domenico Iuso, Ehsan Nazemi, Nathanaël Six, Björn De Samber, Jan De Beenhouwer, Jan Sijbers:
CAD-Based Scatter Compensation For Polychromatic Reconstruction Of Additive Manufactured Parts. ICIP 2021: 2948-2952 - [c12]Jonathan G. Sanctorum, Jan Sijbers, Jan De Beenhouwer:
Dark Field Sensitivity In Single Mask Edge Illumination Lung Imaging. ISBI 2021: 775-778 - [c11]Ben Huyge, Jonathan G. Sanctorum, Nathanaël Six, Jan De Beenhouwer, Jan Sijbers:
Analysis Of Flat Fields In Edge Illumination Phase Contrast Imaging. ISBI 2021: 1310-1313 - [c10]Alice Presenti, Zhihua Liang, Luis Filipe Alves Pereira, Jan Sijbers, Jan De Beenhouwer:
CNN-based Pose Estimation of Manufactured Objects During Inline X-ray Inspection. RTSI 2021: 388-393 - 2020
- [c9]Marina Ljubenovic, Shabab Bazrafkan, Pavel Paramonov, Jan De Beenhouwer, Jan Sijbers:
CNN-Based Deblurring of THz Time-Domain Images. VISIGRAPP (Revised Selected Papers) 2020: 477-494 - [c8]Pavel Paramonov, Lars-Paul Lumbeeck, Jan De Beenhouwer, Jan Sijbers:
Accurate Terahertz Imaging Simulation With Ray Tracing Incorporating Beam Shape and Refraction. ICIP 2020: 3035-3039 - [c7]Lars-Paul Lumbeeck, Pavel Paramonov, Jan Sijbers, Jan De Beenhouwer:
The Radon Transform For Terahertz Computed Tomography Incorporating The Beam Shape. ICIP 2020: 3040-3044 - [c6]Nathanaël Six, Jens Renders, Jan Sijbers, Jan De Beenhouwer:
Newton-Krylov Methods For Polychromatic X-Ray CT. ICIP 2020: 3045-3049 - [c5]Luis Filipe Alves Pereira, Jan De Beenhouwer, Johann Kastner, Jan Sijbers:
Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks. ICTAI 2020: 612-616 - [c4]Marina Ljubenovic, Shabab Bazrafkan, Jan De Beenhouwer, Jan Sijbers:
CNN-based Deblurring of Terahertz Images. VISIGRAPP (4: VISAPP) 2020: 323-330
2010 – 2019
- 2019
- [j3]Bernhard Fröhler, Tim Elberfeld, Torsten Möller, Hans-Christian Hege, Johannes Weissenböck, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl:
A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science. Comput. Graph. Forum 38(3): 273-283 (2019) - [i1]Shabab Bazrafkan, Vincent Van Nieuwenhove, Joris Soons, Jan De Beenhouwer, Jan Sijbers:
Deep Learning Based Computed Tomography Whys and Wherefores. CoRR abs/1904.03908 (2019) - 2017
- [j2]Vincent Van Nieuwenhove, Jan De Beenhouwer, Thomas De Schryver, Luc Van Hoorebeke, Jan Sijbers:
Data-Driven Affine Deformation Estimation and Correction in Cone Beam Computed Tomography. IEEE Trans. Image Process. 26(3): 1441-1451 (2017) - 2015
- [c3]Eline Janssens, Jan De Beenhouwer, Mattias Van Dael, Pieter Verboven, Bart M. Nicolaï, Jan Sijbers:
Neural netwok based X-ray tomography for fast inspection of apples on a conveyor belt system. ICIP 2015: 917-921 - 2014
- [j1]Folkert Bleichrodt, Jan De Beenhouwer, Jan Sijbers, Kees Joost Batenburg:
Aligning Projection Images from Binary Volumes. Fundam. Informaticae 135(1-2): 21-42 (2014)
2000 – 2009
- 2006
- [c2]Jan De Beenhouwer, Roel Van Holen, Stefaan Vandenberghe, Steven Staelens, Yves D'Asseler, Ignace Lemahieu:
Graphics Hardware Accelerated Reconstruction of SPECT with a Slat Collimated Strip Detector. IPCV 2006: 451-457 - 2005
- [c1]Jan De Beenhouwer, Steven Staelens, Stefaan Vandenberghe, Yves D'Asseler, Ignace Lemahieu:
Graphics Hardware Accelerated Optimal Rotator for Iterative Reconstruction. METMBS 2005: 219-224
Coauthor Index
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