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2021
J. Fatermans, De Backer, A., den Dekker, A. J., and Van Aert, S., Chapter Six - Atom column detection, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Three - Efficient fitting algorithm, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Three - Efficient fitting algorithm, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Two - Statistical parameter estimation theory: principles and simulation studies, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Two - Statistical parameter estimation theory: principles and simulation studies, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., CNN-based Pose Estimation of Manufactured Objects During Inline X-ray Inspection, in 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI), 2021.
M. Nicastro, Jeurissen, B., Beirinckx, Q., Smekens, C., Poot, D. H. J., Sijbers, J., and den Dekker, A. J., Comparison of MR acquisition strategies for super-resolution reconstruction using the Bayesian Mean Squared Error, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
J. Sanctorum, Sijbers, J., and De Beenhouwer, J., Dark field sensitivity in single mask edge illumination lung imaging, in 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 2021, pp. 775-778.
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.
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.
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.
L. F. Alves Pereira, Van Nieuwenhove, V., De Beenhouwer, J., and Sijbers, J., A Deep Convolutional Framelet Network based on Tight Steerable Wavelet: application to sparse-view medical tomosynthesis, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 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. Roshani, Phan, G. T. T., Roshani, G. Hossein, Hanus, R., Duong, T., Corniani, E., Nazemi, E., and Kalmouni, E. M., Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline’s scale layer thickness, Alexandria Engineering Journal, vol. 60, 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)
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)
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)
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.
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.
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)
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)

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