Publications

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2022
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., An accelerated motion-compensated iterative reconstruction technique for dynamic computed tomography, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122421F, San Diego, CA, United States, 2022.
P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., Alternative grating designs for cone-beam edge illumination X-ray phase contrast imaging, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, San Diego, USA, 2022, vol. 12242, p. 122420Z.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., and Scheunders, P., Analysis of Plant Stress Response Using Hyperspectral Imaging and Kernel Ridge Regression, in 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, Singapore, 2022, vol. 829.
D. Iuso, Chatterjee, S., Heylen, R., Cornelissen, S., De Beenhouwer, J., and Sijbers, J., Analysis of the effectiveness of deeply supervised neural networks for defect segmentation in additive manufacturing, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122421K.
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., Analytic derivatives of scaling motion-compensated projection operators for dynamic computed tomography, in e-Journal of Nondestructive Testing, 2022, vol. 27 (3), pp. 1-5.PDF icon ict2022.pdf (632.42 KB)
J. Sanctorum, Six, N., Sijbers, J., and De Beenhouwer, J., Augmenting a conventional X-ray scanner with edge illumination based phase contrast imaging: how to design the gratings?, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, San Diego, USA, 2022, p. 1224218.
A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., CNN-based pose estimation from a single X-ray projection for 3D inspection of manufactured objects, in 11th Conference on Industrial Computed Tomography, 2022.
J. Christopher, Lumbeeck, L. - P., Paramonov, P., De Beenhouwer, J., and Sijbers, J., Discrete Terahertz tomography: a simulation study , in 11th Conference on Industrial Computed Tomography, 2022.
P. Paramonov, Renders, J., Elberfeld, T., De Beenhouwer, J., and Sijbers, J., Efficient X-ray projection of triangular meshes based on ray tracing and rasterization, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420W .
G. Pascoletti, Huysmans, T., Conti, P., and Zanetti, E. M., Evaluation of a Morphable Anthropomorphic Articulated Total Body Model, in Design Tools and Methods in Industrial Engineering II - Proceedings of the 2nd International Conference on Design Tools and Methods in Industrial Engineering, ADM 2021, 2022, pp. 761–772.
B. Huyge, Jeurissen, B., De Beenhouwer, J., and Sijbers, J., Fiber orientation estimation by constrained spherical deconvolution of the anisotropic edge illumination x-ray dark field signal, in SPIE: Developments in X-Ray Tomography XIV, 2022, vol. 12242, p. 122420V .
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Scheunders, P., and Gloaguen, R., Hyperspectral clustering using atrous spatial-spectral convolutional network, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., Joint reconstruction of attenuation, refraction and dark field X-ray phase contrasts using split Barzilai-Borwein steps, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420O.
C. Bossuyt, De Beenhouwer, J., and Sijbers, J., Optimisation of a multi-source rectangular X-ray CT geometry for inline inspection, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 1224219 .
B. Koirala and Scheunders, P., A robust supervised method to estimate chlorophyll ab content from spectral reflectance, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
B. Rasti, Koirala, B., and Scheunders, P., Sparse unmixing using deep convolutional networks, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.

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