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Q. Beirinckx, Ramos-Llordén, G., Jeurissen, B., Poot, D. H. J., Parizel, P. M., Verhoye, M., Sijbers, J., and den Dekker, A. J., “Joint Maximum Likelihood estimation of motion and T1 parameters from magnetic resonance images in a super-resolution framework: a simulation study”, Fundamenta Informaticae, vol. 172, pp. 105–128, 2020.PDF icon Download paper (final author version) (2.15 MB)
Q. Beirinckx, Jeurissen, B., Nicastro, M., Poot, D. H. J., Verhoye, M., den Dekker, A. J., and Sijbers, J., “Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping”, Computerized Medical Imaging and Graphics, vol. 100, no. 102071, pp. 1-16, 2022.PDF icon Download paper (15.42 MB)PDF icon Download supplementary material (1.35 MB)
Q. Beirinckx, Bladt, P., van der Plas, M. C. E., van Osch, M. J. P., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Model-based super-resolution reconstruction for pseudo-continuous Arterial Spin Labeling”, NeuroImage, vol. 286, p. 120506, 2024.PDF icon Download paper (7.23 MB)PDF icon Download supplementary material (20.75 MB)
A. Bernat, Huysmans, T., Van Glabbeek, F., Sijbers, J., Gielen, J., and Van Tongel, A., “The anatomy of the clavicle: A Three-dimensional Cadaveric Study”, Clinical anatomy, vol. 27, no. 5, pp. 712–723, 2014.PDF icon Download paper (554.93 KB)
E. Bettens, Scheunders, P., Van Dyck, D., Moens, L., and Osta, V. P., “Computer Analysis of Two-Dimensional Electrophoresis Gels : A New Segmentation and Modeling Algorithm”, Electrophoresis, vol. 18, pp. 792-798, 1997.
E. Bettens, Van Dyck, D., den Dekker, A. J., Sijbers, J., and van den Bos, A., “Model-based two-object resolution from observations having counting statistics”, Ultramicroscopy, vol. 77, pp. 37-48, 1999.PDF icon Download full paper (226 KB)
J. Bioucas-Dias, Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., and Chanussot, J., “Hyperspectral remote sensing data analysis and future challenges”, IEEE Geoscience and Remote Sensing Magazine, vol. 1, no. 2, pp. 6-36, 2013.
P. Bladt, van Osch, M. J. P., Clement, P., Achten, E., Sijbers, J., and den Dekker, A. J., “Supporting measurements or more averages? How to quantify cerebral blood flow most reliably in 5 minutes by arterial spin labeling”, Magnetic Resonance in Medicine, vol. 84, no. 5, pp. 2523-2536, 2020.PDF icon Download paper (1.3 MB)
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., “The costs and benefits of estimating T1 of tissue alongside cerebral blood flow and arterial transit time in pseudo-continuous arterial spin labeling”, NMR in Biomedicine, vol. 33, no. 12, pp. 1-17, 2020.PDF icon Download paper (16.44 MB)
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, 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., 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.
B. G. Booth, Sijbers, J., and De Beenhouwer, J., “A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants”, Scientific Reports, vol. 10, no. 661, 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.
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., Sijbers, J., and Huysmans, T., “An assessment of the information lost when applying data reduction techniques to dynamic plantar pressure measurements”, Journal of Biomechanics , vol. 87, pp. 161-166, 2019.
B. G. Booth, Keijsers, N. L. W., Sijbers, J., and Huysmans, T., “STAPP: SpatioTemporal Analysis of Plantar Pressure Measurements using Statistical Parametric Mapping”, Gait and Posture, vol. 3, no. 63, pp. 268-275, 2018.
H. E. Bortier, Bernat, A., Huysmans, T., Van Glabbeek, F., Sijbers, J., Pinho, R., Gielen, J., and Hubens, G., “Osteologic exploration of the clavicle: a new approach”, The FASEB Journal, vol. 23, 2009.
B. Bosmans, Huysmans, T., Wirix-Speetjens, R., Verschueren, P., Sijbers, J., Bosmans, J., and Vander Sloten, J., “Statistical shape modeling and population analysis of the aortic root of TAVI patients”, Journal of Medical Devices, vol. 7, no. 4, 2013.
B. Bosmans, Huysmans, T., Lopes, P., Verhoelst, E., Dezutter, T., de Jaegere, P., Sijbers, J., Vander Sloten, J., and Bosmans, J., “Aortic root sizing for transcatheter aortic valve implantation using a shape model parameterisation”, Medical & Biological Engineering & Computing, vol. 57, no. 10, pp. 2081–2092, 2019.PDF icon Download paper (1.79 MB)
T. Boumans, Vignal, C., Smolders, A., Sijbers, J., Verhoye, M., Van Audekerke, J., and Van Der Linden, A., “Functional magnetic resonance imaging in zebra finch discerns the neural substrate involved in segregation of conspecific song from background noise”, Journal of Neurophysiology, vol. 99, pp. 931-938, 2008.PDF icon Download full paper (832.59 KB)
M. Brackx, Van Wittenberghe, S., Verhelst, J., Scheunders, P., and Samson, R., “Hyperspectral leaf reflectance of Carpines betulus L. saplings for urban air quality estimation”, Environmental Pollution, vol. 220, pp. 159-167, 2017.
M. Brackx, Verhelst, J., Scheunders, P., and Samson, R., “On the use of dorsiventral reflectance asymmetry of hornbeam (Carpinus betulus L.) leaves in air pollution estimation”, Environmental Monitoring and Assessment, vol. 189, no. 9, 2017.
M. Bührer, Xu, H., Eller, J., Sijbers, J., Stampanoni, M., and Marone, F., “Unveiling Water Dynamics in Fuel Cells from Time-Resolved Tomographic Microscopy Data”, Scientific Reports, vol. 10, no. 16388 , 2020.PDF icon Download paper (4.12 MB)

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