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P. Van Dyck, Froeling, M., Heusdens, C. H. W., Sijbers, J., Ribbens, A., and Billiet, T., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Following Primary Repair with Internal Bracing: a Longitudinal Study, Journal of Orthopaedic Research , vol. 39, pp. 1318–1330, 2021.
A. Presenti, Sijbers, J., and De Beenhouwer, J., Dynamic few-view X-ray imaging for inspection of CAD-based objects, Expert Systems with Applications, vol. 180, p. 115012, 2021.
M. A. Zampini, Sijbers, J., Verhoye, M., and Garipov, R., EPIFANI for ultrafast B1-corrected T1 and PD mapping, Magn Reson Mater Phy, vol. 34. pp. S59-S60, 2021.
J. Van Houtte, Vandenberghe, F., Zheng, G., Huysmans, T., and Sijbers, J., EquiSim: An open-source articulatable statistical model of the equine distal limb, Frontiers in Veterinary Science , vol. 8, no. 75, 2021.
J. Sanctorum, Van Wassenbergh, S., Nguyen, V., De Beenhouwer, J., Sijbers, J., and Dirckx, J. J. J., Extended imaging volume in cone-beam x-ray tomography using the weighted simultaneous iterative reconstruction technique, Physics in Medicine and Biology, vol. 66, no. 16, 2021.PDF icon Download paper (4.28 MB)
M. Naeyaert, Golkov, V., Cremers, D., Sijbers, J., and Verhoye, M., Faster and better HARDI using FSE and holistic reconstruction, International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting. 2021.
B. De Samber, Renders, J., Elberfeld, T., Maris, Y., Sanctorum, J., Six, N., Liang, Z., De Beenhouwer, J., and Sijbers, J., FleXCT: a Flexible X-ray CT scanner with 10 degrees of freedom, Optics Express, vol. 29, no. 3, pp. 3438-3457, 2021.PDF icon Download paper (14.25 MB)
A. Van Tongel, De Wilde, L., Shimamura, Y., Sijbers, J., and Huysmans, T., Fracture patterns in midshaft clavicle fractures, Acta Orthop Belg , vol. 87, no. 3, pp. 501-507, 2021.PDF icon Download paper (830.55 KB)
N. Six, Renders, J., Sijbers, J., and De Beenhouwer, J., Gauss-Newton-Krylov for Reconstruction of Polychromatic X-ray CT Images, IEEE Transactions on Computational Imaging, vol. 7, pp. 1304-1313, 2021.
A. De Luca, Ianus, A., Leemans, A., Palombo, M., Shemesh, N., Zhang, H., Alexander, D. C., Nilsson, M., Froeling, M., Biessels, G. - J., Zucchelli, M., Frigo, M., Albay, E., Sedlar, S., Alimi, A., Deslauriers-Gauthier, S., Deriche, R., Fick, R., Afzali, M., Pieciak, T., Bogusz, F., Aja-Fernandez, S., Ozarslan, E., Jones, D. K., Chen, H., Jin, M., Zhang, Z., Wang, F., Nath, V., Parvathaneni, P., Morez, J., Sijbers, J., Jeurissen, B., Shreyas,, Fadnavis,, Endres, S., Rokem, A., Garyfallidis, E., Sanchez, I., Prchkovska, V., Rodrigues, P., Landman, B. A., and Schilling, K. G., On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge, NeuroImage, vol. 240, no. 118367, 2021.
V. Nguyen, Sanctorum, J., Van Wassenbergh, S., Dirckx, J. J. J., Sijbers, J., and De Beenhouwer, J., Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System, Journal of Imaging, vol. 7, no. 54, pp. 1-12, 2021.PDF icon Download paper (4.2 MB)
J. Van Houtte, Sijbers, J., and Zheng, G., Graphical User Interface for Joint Space Width Assessment by Optical Marker Tracking, in 4th International Conference on Bio-engineering for Smart Technologies, 2021.
C. Smekens, Beirinckx, Q., Vanhevel, F., Van Dyck, P., den Dekker, A. J., Sijbers, J., Janssens, T., and Jeurissen, B., High-resolution T2* mapping of the knee based on UTE Spiral VIBE MRI, Magn Reson Mater Phy, vol. 34. pp. S53-S54, 2021.
M. Ljubenović, Zhuang, L., De Beenhouwer, J., and Sijbers, J., Joint Deblurring and Denoising of THz Time-Domain Images, IEEE Access, vol. 9, pp. 162-176, 2021.PDF icon Download paper (2.38 MB)
J. S. Jorgensen and Sijbers, J., Just enough physics, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.
J. Renders, De Beenhouwer, J., and Sijbers, J., Mesh-based reconstruction of dynamic foam images using X-ray CT, in International Conference on 3D Vision (3DV2021), 2021, pp. 1312-1320.
E. Nazemi, Six, N., Iuso, D., De Samber, B., Sijbers, J., and De Beenhouwer, J., Monte-Carlo-Based Estimation of the X-ray Energy Spectrum for CT Artifact Reduction, Applied Sciences, vol. 11, no. 7, 2021.PDF icon Download paper (4.96 MB)
J. Renders, Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., Motion compensating X-ray micro-CT of diamonds in a processing stage, 31st International Conference on Diamond and Carbon Materials. 2021.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., den Dekker, A. J., and Sijbers, J., Multi-contrast multi-shot EPI for accelerated diffusion MRI, in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021, pp. 3869-3872.
T. Van De Looverbosch, Raeymaekers, E., Verboven, P., Sijbers, J., and Nicolai, B., Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning, Expert Systems with Applications, vol. 176, no. 114925, pp. 1-12, 2021.
V. Anania, Jeurissen, B., Morez, J., Buikema, A. Eline, Billiet, T., Sijbers, J., and den Dekker, A. J., Optimal experimental design for the T2-weighted diffusion kurtosis imaging free water elimination model, ESMRMB 2021 Online 38th Annual Scientific Meeting 7–9 October 2021. Magn Reson Mater Phy, vol. 34. pp. S54-S55, 2021.
M. Siqueira Pinto, Winzeck, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., den Dekker, A. J., Sijbers, J., Guns, P. - J., Van Dyck, P., and Newcombe, V. F. J., Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study, ISMRM & SMRT Annual Meeting. 2021.
M. Siqueira Pinto, Winzeck, S., Richter, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., Guns, P. - J., den Dekker, A. J., Sijbers, J., Newcombe, V. F. J., and Van Dyck, P., Outcome prediction of mild traumatic brain injury using support vector machine based on longitudinal MRdiffusion imaging from CENTER-TBI, Magn Reson Mater Phy (ESMRMB), vol. 34. p. S54, 2021.
B. G. Booth, Keijsers, N. L. W., and Sijbers, J., Outlier detection for foot complaint diagnosis: modeling confounding factors using metric learning, IEEE Intelligent Systems, vol. 36, no. 3, pp. 41-49, 2021.
J. Sanctorum, Van Wassenbergh, S., Nguyen, V., De Beenhouwer, J., Sijbers, J., and Dirckx, J. J. J., Projection-angle-dependent distortion correction in high-speed image-intensifier-based x-ray computed tomography, Measurement Science and Technology, vol. 32, no. 035404, pp. 1-11, 2021.