Jan Sijbers

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Conference Paper
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.
Conference Paper
C. Bossuyt, De Beenhouwer, J., and Sijbers, J., Optimization 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 .
Conference Abstract
C. Bossuyt, De Beenhouwer, J., and Sijbers, J., Sparse view rectangular X-ray CT for cargo inspection using the ASTRA toolbox, 5th international Conference on Tomography of Materials & Structures, 27the June - 1ste July, Grenoble, France. 2022.
Conference Paper
J. Van Houtte, Gao, X., Sijbers, J., and Zheng, G., 2D/3D registration with a statistical deformation model prior using deep learning, in the IEEE International Conference on Biomedical and Health Informatics (BHI'21) , 2021, pp. 1-4.PDF icon Download paper (1.41 MB)
Conference Abstract
R. Paolella, de la Rosa, E., Sima, D. M., Dive, D., Durand-Dubief, F., Sappey-Marinier, D., Jeurissen, B., Sijbers, J., and Billiet, T., Decoding Multiple Sclerosis EDSS disability scores from MRI using Deep Learning, 38th Annual Scientific Meeting Congress of the European Society for Magnetic Resonance in Medicine and Biology, vol. 34. pp. S57-S58, 2021.

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