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Journal Article
B. Fröhler, Elberfeld, T., Möller, T., Hege, H. - C., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibres, Nondestructive Testing and Evaluation, vol. 35, no. 3, pp. 328-341, 2020.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform, Computers and Electronics in Agriculture, vol. 162, pp. 749-758, 2019.
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)
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)
M. Roshani, Sattari, M. Amir, Ali, P. Jammal Muh, Roshani, G. Hossein, Corniani, E., and Nazemi, E., Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two-phase flowmeter, Flow Measurement and Instrumentation, vol. 75, 2020.
J. P. M. Kenney, McPhilemy, G., Scanlon, C., Najt, P., McInerney, S., Arndt, S., Scherz, E., Byrne, F., Leemans, A., Jeurissen, B., Hallahan, B., McDonald, C., and Cannon, D. M., The arcuate fasciculus network and verbal deficits in psychosis, Translational Neuroscience, vol. 8, no. 1, pp. 117-126, 2017.
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.
P. Van Dyck, Zazulia, K., Smekens, C., Heusdens, C. H. W., Janssens, T., and Sijbers, J., Assessment of Anterior Cruciate Ligament Graft Maturity With Conventional Magnetic Resonance Imaging, The Orthopaedic Journal of Sports Medicine, vol. 7, no. 6, pp. 1-9, 2019.PDF icon Download paper (202.39 KB)
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.
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.
W. Van Aarle, Palenstijn, W. J., De Beenhouwer, J., Altantzis, T., Bals, S., Batenburg, K. J., and Sijbers, J., The ASTRA Toolbox: a platform for advanced algorithm development in electron tomography, Ultramicroscopy, vol. 157, pp. 35–47, 2015.PDF icon Download paper (3.47 MB)
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Gauquelin, N., Verbeeck, J., and Van Aert, S., Atom column detection from simultaneously acquired ABF and ADF STEM images, Ultramicroscopy, vol. 219, p. 113046, 2020.
J. Gonnissen, De Backer, A., den Dekker, A. J., Sijbers, J., and Van Aert, S., Atom-counting in High Resolution Electron Microscopy: TEM or STEM - that’s the question, Ultramicroscopy, vol. 147, pp. 112–120, 2017.
B. Weyn, Van de Wouwer, G., Van Daele, A., Scheunders, P., Van Dyck, D., Van Marck, E., and Jacob, W., Automated breast tumour diagnosis and grading based on wavelet chromatin texture description, Cytometry, vol. 33, pp. 32-40, 1998.
G. Van de Wouwer, Weyn, B., Scheunders, P., Jacob, W., Van Marck, E., and Van Dyck, D., Automated chromatin-texture based diagnosis of carcinoma nuclei, Journal of Microscopy, vol. 197, pp. 25-35, 2000.
B. Jeurissen, Leemans, A., and Sijbers, J., Automated correction of improperly rotated diffusion gradient orientations in diffusion-weighted MRI, Medical Image Analysis, vol. 18, pp. 953-962, 2014.
T. Huysmans, Sijbers, J., and Verdonk, B., Automatic Construction of Correspondences for Tubular Surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 636-651, 2010.PDF icon Download paper (3.46 MB)
J. Sijbers, Poot, D. H. J., den Dekker, A. J., and Pintjens, W., Automatic estimation of the noise variance from the histogram of a magnetic resonance image, Physics in Medicine and Biology, vol. 52, pp. 1335-1348, 2007.PDF icon Download paper (297.18 KB)
G. Thoonen, Nys, B., Haegen, V. Y., Roy, D. G., and Scheunders, P., Automatic forensic analysis of automotive paints using optical microscopy, Forensic Science International, vol. 259, pp. 210-220, 2016.
J. Sijbers, Vanrumste, B., Van Hoey, G., Boon, P., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Automatic localization of EEG electrode markers within 3D MR data, Magnetic Resonance Imaging, vol. 18, pp. 485-488, 2000.PDF icon Download paper (178.74 KB)
W. Van Aarle, Batenburg, K. J., and Sijbers, J., Automatic parameter estimation for the Discrete Algebraic Reconstruction Technique (DART), IEEE Transactions on Image Processing, vol. 21, no. 11, pp. 4608-4621, 2012.PDF icon Download paper (3.91 MB)
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., A Band Selection Technique for Spectral Classification, IEEE Geoscience and Remote Sensing Letters, vol. 2, pp. 319-323, 2005.
A. Karami, Heylen, R., and Scheunders, P., Band-specific Shearlet-based Hyperspectral Image Noise Reduction, IEEE Transaction Geosciences and Remote Sensing , vol. 53, no. 9, 2015.
Y. Zhang, Duijster, A., and Scheunders, P., A Bayesian Restoration Approach for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 9, pp. 3453-3462, 2012.
Z. Mai, Hanel, R., Batenburg, K. J., Verhoye, M., Scheunders, P., and Sijbers, J., Bias field reduction by localized Lloyd-Max quantization, Magnetic Resonance Imaging, vol. 29, no. 4, pp. 536-545, 2011.