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J. Osstyn, Danckaers, F., Van Haver, A., Oramas, J., Vanhees, M., and Sijbers, J., “Automated virtual reduction of displaced distal radius fractures”, in IEEE International Symposium on Biomedical Imaging, Cartagena, Colombia, 2023, pp. 1-4.
J. Osstyn, Danckaers, F., Verstreken, A., Van Haver, A., Vanhees, M., and Sijbers, J., “Statistical shape model guided virtual reduction of displaced distal radius fractures”, in IEEE International Symposium on Biomedical Imaging, Athens, Greece, 2024, pp. 1-5.
M. Ouwendijk, Slingerland, N., van Nistelrooij, J., Huysmans, T., Van de Casteele, E., Van Glabbeek, F., Meermans, G., and Verstreken, F., “Screw fixation of simulated scaphoid waist fractures: a biomechanical comparison of two screw lengths.”, European Federation of National Associatinos of Orthopaedics and Traumatology (EFORT), 18th ANNUAL CONGRESS, VIENNA, AUSTRIA. 2017.
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W. J. Palenstijn, Bédorf, J., Sijbers, J., and Batenburg, K. J., “A distributed ASTRA Toolbox”, Advanced Structural and Chemical Imaging, vol. 2, no. 19, 2016.PDF icon Download paper (2.7 MB)
W. J. Palenstijn, Batenburg, K. J., and Sijbers, J., “Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)”, Journal of structural biology, vol. 176, no. 2, pp. 250-253, 2011.PDF icon Download paper (527.21 KB)
W. J. Palenstijn, Batenburg, K. J., and Sijbers, J., “The ASTRA Tomography Toolbox”, in 13th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2013, 2013, vol. 4, pp. 1139-1145.PDF icon cmmse2013.pdf (174.19 KB)
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.
P. Paramonov, Lumbeeck, L. - P., De Beenhouwer, J., and Sijbers, J., “Accurate terahertz simulation with ray tracing incorporating beam shape and refraction”, in IEEE ICIP , 2020, pp. 3035-3039.PDF icon Download paper (190.62 KB)
P. Paramonov, Sanctorum, J. G., Iuso, D., Sijbers, J., and De Beenhouwer, J., “High-resolution tiled X-ray cone-beam CT using the ASTRA toolbox”, in 13th Conference on Industrial Computed Tomography (iCT) 2024, School of Engineering, Wels Campus, Austria, 2024.PDF icon Download paper (532.89 KB)
P. Paramonov, Lumbeeck, L. - P., Sijbers, J., and De Beenhouwer, J., “A study of terahertz beam simulation with ray tracing for computed tomography”, in 2021 OSA Imaging and Applied Optics Congress, 2021.
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 .PDF icon Download paper (1.72 MB)
P. Paramonov, Francken, N., Renders, J., Iuso, D., Elberfeld, T., De Beenhouwer, J., and Sijbers, J., “CAD-ASTRA: A versatile and efficient mesh projector for X-ray tomography with the ASTRA-toolbox”, Optics Express, vol. 32, no. 3, pp. 3425-3439, 2024.PDF icon Download paper (11.29 MB)
P. M. Parizel, Van Goethem, J., van den Hauwe, L., Salgado, R., Vandervliet, E., and Leemans, A., “Characterization of brain tumors”, NeuroRadiology, vol. 47, pp. 80-83, 2005.
P. M. Parizel and Van Hecke, W., “Diffusion Tensor Imaging: Is it really useful?”, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007.
P. M. Parizel, Van Rompaey, V., Loock, V. R., Van Hecke, W., Van Goethem, J., Leemans, A., and Sijbers, J., “Influence of User-Defined Parameters on Diffusion Tensor Tractography of the Corticospinal Tract”, The Neuroradiology Journal, pp. 139-147, 2007.
H. R. P. Park, Verhelst, H., Quak, M., Jeurissen, B., and Krebs, R. M., “Associations between different white matter properties and reward-based performance modulation”, Brain Structure and Function, 2021.
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.
E. Pechenkova, Nosikova, I., Rumshiskaya, A., Litvinova, L., Rukavishnikov, I., Mershina, E., Sinitsyn, V., Van Ombergen, A., Jeurissen, B., Jillings, S., Laureys, S., Sijbers, J., Grishin, A., Chernikova, L., Naumov, I., Kornilova, L., Wuyts, F. L., Tomilovskaya, E., and Kozlovskaya, I., “Alterations of Functional Brain Connectivity After Long-Duration Spaceflight as Revealed by fMRI.”, Front Physiol, vol. 10, no. 761, pp. 1-23, 2019.
B. Peersman, Vanhoenacker, F. M., Brys, P., Van Dyck, P., Stam, M., Verstraete, K. L., Bloem, J. L., Heyman, S., Herendael, V. B., Sijbers, J., and De Schepper, A. M., “Imaging features of Ewing’s sarcoma”, in International Skeletal Society 2007, 34th annual ISS Radiology Refresher Course, Budapest, 2007, p. 22.
T. Peeters, Vleugels, J., Verwulgen, S., Danckaers, F., Huysmans, T., Sijbers, J., and De Bruyne, G., “A Comparative Study Between Three Measurement Methods to Predict 3D Body Dimensions Using Shape Modelling”, in Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping, Cham, 2020, vol. 975, pp. 464–470.
D. Pelt, Gursoy, D., Palenstijn, W. J., Sijbers, J., De Carlo, F., and Batenburg, K. J., “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data”, Journal of Synchrotron Radiation, vol. 23, pp. 842-849, 2016.
D. Pelt, Sijbers, J., and Batenburg, K. J., “Fast Tomographic Reconstruction from Highly Limited Data Using Artificial Neural Networks”, in 1st International Conference on Tomography of Materials and Structures (ICTMS), 2013, pp. 109-112.PDF icon Download paper (2.15 MB)
G. Perfetti, Van de Casteele, E., Rieger, B., Wildeboer, W. J., and Meesters, G. M. H., “X-ray micro tomography and image analysis as complementary methods for morphological characterization and coating thickness measurement of coated particles”, Advanced Powder Technology, vol. 21, no. 6, pp. 663 - 675, 2010.
D. Perrone, Aelterman, J., Piżurica, A., Jeurissen, B., Philips, W., and Leemans, A., “The effect of Gibbs ringing artifacts on measures derived from diffusion MRI”, NeuroImage, vol. 120, pp. 441–455, 2015.
D. Perrone, Jeurissen, B., Aelterman, J., Roine, T., Sijbers, J., Pizurica, A., Leemans, A., and Philips, W., “D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data”, PlosOne, vol. 11, pp. 1-23, 2016.PDF icon Download paper (16.22 MB)

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