Publications

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P. Bladt, van Osch, M. J. P., Achten, E., den Dekker, A. J., and Sijbers, J., “Beyond the consensus: is sacrificing part of the PCASL scan time for measurement of labeling efficiency and T1 of blood beneficial?”, University of Michigan international workshop on arterial spin labeling MRI: technical updates and clinical experience, March 9-10 2019, Ann Arbor, USA. 2019.PDF icon Download abstract (1.31 MB)
P. Bladt, Beirinckx, Q., Van der Plas, M., Schmid, S., Teeuwisse, W., Jeurissen, B., den Dekker, A. J., Sijbers, J., and van Osch, M., “Super-resolution reconstruction of single-PLD pseudo-continuous ASL images”, Proc Intl Soc Mag Reson Med 28. p. 3293, 2020.
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., “Optimal sampling strategy for pseudo-continuous arterial spin labeling MRI”, 9th Annual Meeting of ISMRM Benelux, 20th January 2017, Tilburg, The Netherlands. 2017.
J. Blanc-Talon, Kazinski, A., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2013, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 8129. 2013.
J. Blanc-Talon, Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2006, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 4179. Springer, pp. 1-1224, 2006.
J. Blanc-Talon, Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2009, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 5807. Springer, 2009.
J. Blanc-Talon, Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2007, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 4678. Springer, pp. 1-1095, 2007.
J. Blanc-Talon, Bone, D., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2010, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 6474 & 6475. Springer, 2010.
J. Blanc-Talon, Philips, W., Popescu, D., Kleihorst, R., and Scheunders, P., “ACIVS 2011, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 6915. Springer, 2011.
J. Blanc-Talon, Penne, R., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2017, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 10617. 2017.
J. Blanc-Talon, Helbert, D., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2018, Advanced Concepts for Intelligent Vision Systems ”, Lecture Notes in Computer Science, vol. 11182. 2018.
J. Blanc-Talon, Philips, W., Popescu, D., Scheunders, P., and Zemcik, P., “ACIVS 2012, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 7517. Springer, 2012.
J. Blanc-Talon, Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2005, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 3708. Springer, pp. 1-725, 2005.
J. Blanc-Talon, Bourenanne, S., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2008, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 5259. 2008.
F. Bleichrodt, De Beenhouwer, J., Sijbers, J., and Batenburg, K. J., “Aligning Projection Images from Binary Volumes”, Fundamenta Informaticae, vol. 135, pp. 1-22, 2014.
F. Bleichrodt, De Beenhouwer, J., Sijbers, J., and Batenburg, K. J., “An Alignment Method for Fan Beam Tomography”, in International Conference on Tomography of Materials and Structures (ICTMS), 2013, pp. 103-107.
F. Bleichrodt, van Leeuwen, T., Palenstijn, W. J., Van Aarle, W., Sijbers, J., and Batenburg, K. J., “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators”, Numerical Algorithms, vol. 71, pp. 673-697, 2016.
I. Blockx, Verhoye, M., De Groof, G., Van Audekerke, J., Raber, K., Poot, D. H. J., Sijbers, J., von Horsten, S., and Van Der Linden, A., “Diffusion Kurtosis Imaging (DKI) reveals an early phenotype (P30) in a transgenic rat model for Huntington’s disease”, ISMRM conference proceedings, vol. 2009. p. 359, 2009.
I. Blockx, Verhoye, M., Van Audekerke, J., Bergwerf, I., Kane, J. X., Delgado Y Palacios, R., Veraart, J., Jeurissen, B., Raber, K., Von Hörsten, S., Ponsaerts, P., Sijbers, J., Leergaard, T. B., and Van Der Linden, A., “Identification and characterization of Huntington related pathology: an in vivo DKI imaging study”, NeuroImage, vol. 63, no. 2, pp. 653-662, 2012.
I. Blockx, De Groof, G., Verhoye, M., Van Audekerke, J., Raber, K., Poot, D. H. J., Sijbers, J., Osmand, A. P., Von Hörsten, S., and Van Der Linden, A., “Microstructural changes observed with DKI in a transgenic Huntington rat model: Evidence for abnormal neurodevelopment.”, NeuroImage, vol. 59, pp. 957-67, 2012.
Z. Bnoulkacem, Vlaminck, M., Morocho, G. Raimundo L., Zivariadab, H., Zahiri, Z., Koirala, B., Platisa, L., Luong, H., Scheunders, P., Mangialetto, F., and Bufi, I., “Corrosion detection using hyperspectral VNIR and SWIR imaging for drone-based inspection of electrical pylons”, in EUROCORR 2023, European Corrosion Congress, Proceedings, 2023, p. 2.PDF icon exhibit_17_corrosion_detection_using_hyperspectral_vnir_and_swir_imaging.pdf (138.17 KB)
Z. Bnoulkacem, Koirala, B., and Scheunders, P., “Improving Spectral Unmixing Performance by Frequency Component Reduction”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon improving_spectral_unmixing_performance_by_frequency_component_reduction.pdf (582.17 KB)
M. A. Boone, De Kock, T., Dewanckele, J., Cnudde, V., Boone, M. N., Van Loo, D., Van de Casteele, E., De Schutter, G., and Jacobs, P., “Three-dimensional monitoring of physical weathering in limestone with X-ray computed microtomography (micro-CT)”, in 12th Euroseminar on Microscopy Applied to Building Materials (EMABM), 2009.
B. G. Booth, Hoefnagels, E., Huysmans, T., Sijbers, J., and Keijsers, N. L. W., “PAPPI: Personalized analysis of plantar pressure images using statistical modelling and parametric mapping”, PlosOne, vol. 15, no. 2, p. e0229685, 2020.
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.

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