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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. 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.
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.
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., Kudzinava, M., Sijbers, J., Pizurica, A., Philips, W., and Leemans, A., “Correction of Gibbs ringing in diffusion MRI data using total variation regularization”, Fourth Annual Meeting of the ISMRM Benelux Chapter. p. 99, 2012.
D. Perrone, Aelterman, J., Jeurissen, B., Pizurica, A., Philips, W., and Sijbers, J., “A Novel Method for Realistic DWI Data Generation”, International Society for Magnetic Resonance in Medicine, vol. 22. Milan, Italy, p. 4427, 2014.
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)
D. Perrone, Aelterman, J., Kudzinava, M., Sijbers, J., Pizurica, A., Philips, W., and Leemans, A., “Gibbs artifact suppression for DT-MRI data”, 10th Belgian Day on Biomedical Engineering – joint meeting with IEEE EMBS Benelux Chapter. 2011.
H. N. B. Pinheiro, Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., “Type-2 fuzzy GMMs for robust text-independent speaker verification in noisy environments”, in International Conference of Pattern Recognition, 2014.
R. Pinho, Tournoy, K. G., Gosselin, R., and Sijbers, J., “Assessment of Tracheal Stenosis Using Active Shape Models of Healthy Tracheas: A Surface Registration Study”, in Proceedings of 2nd International Workshop on Pulmonary Image Analysis, 2009, pp. 125-136.
R. Pinho, Huysmans, T., Vos, W., and Sijbers, J., “Tracheal Stent Prediction Using Statistical Deformable Models of Healthy Tracheas”, in Liege Image Days 2008: Medical Imaging, 2008.PDF icon Full text (34.19 KB)
R. Pinho, Batenburg, K. J., and Sijbers, J., “Seeing Through the Window: Pre-fetching Strategies for Out-of-core Image Processing Algorithms”, in Proceedings of SPIE Medical Imaging, San Diego, CA, USA, 2008, vol. 6919.
R. Pinho, Sijbers, J., and Huysmans, T., “Segmentation of The Human Trachea Using Deformable Statistical Models of Tubular Shapes”, in Proceedings of Advanced Concepts for Intelligent Vision Systems, 2007, vol. 4678, pp. 531-542.PDF icon Download paper (570.18 KB)
R. Pinho, Huysmans, T., Vos, W., and Sijbers, J., “Tracheal Stent Prediction Using Statistical Deformable Models of Tubular Shapes”, in Proceedings of SPIE Medical Imaging, San Diego, CA, USA, 2008.PDF icon Full text (773.58 KB)
R. Pinho, Tournoy, K. G., and Sijbers, J., “Assessment and Stenting of Tracheal Stenosis using Deformable Shape Models”, Medical Image Analysis, vol. 15, pp. 250-266, 2011.
R. Pinho, Tournoy, K. G., and Sijbers, J., “Computer-Aided Assessment and Stenting of Tracheal Stenosis”, in Computer Aided Diagnosis of Lung Imaging, A. El-Baz, Ed. 2010.PDF icon Download chapter (4.67 MB)

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