Publications

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Journal Article
B. T. Antonsen, Jiang, Y., Veraart, J., Qu, H., Nguyen, H. P., Sijbers, J., Von Hörsten, S., Johnson, A. G., and Leergaard, T. B., “Altered diffusion tensor imaging measurements in aged transgenic Huntington disease rats.”, Brain structure & function, vol. 218, no. 3, pp. 767-78, 2013.PDF icon Download paper (645.02 KB)
A. Van Ombergen, Heine, L., Jillings, S., Roberts, E., Jeurissen, B., Van Rompaey, V., Mucci, V., Vanhecke, S., Sijbers, J., Vanhevel, F., Sunaert, S., Bahri, M. Ali, Parizel, P. M., Van de Heyning, P. H., Laureys, S. S. L., and Wuyts, F. L., “Altered functional brain connectivity in patients with visually induced dizziness”, NeuroImage: Clinical, vol. 14, pp. 538–545, 2017.
D. Zanaga, Altantzis, T., Sanctorum, J., Freitag, B., and Bals, S., “An alternative approach for ζ-factor measurement using pure element nanoparticles”, Ultramicroscopy, vol. 164, pp. 11–16, 2016.
W. Jacquet, Nyssen, E., Sun, Y., De Munter, S., Sijbers, J., and Politis, C., “Alveolar Nerve Unfolding Technique for Synoptic Analysis: Visualization and Quantification of Inferior Alveolar Nerve Tracings in Three-dimensional Cone-Beam Computed Tomography.”, The Journal of craniofacial surgery, vol. 24, no. 4, pp. e374-7, 2013.
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.PDF icon shahrimie_2019.pdf (3.12 MB)
A. Van Der Linden, Van de Casteele, E., Thomas, M. S., Vos, A., Janssen, E., and Janssens, K., “Analysis of micro computed tomography images; a look inside historic enamelled metal objects”, Applied Physics A, vol. 98, no. 2, pp. 385 - 392, 2010.
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.
M. Das and Liang, Z., “Approximated transport-of-intensity equation for coded-aperture x-ray phase-contrast imaging”, Optics Letters, vol. 39, no. 18, p. 5395, 2014.
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.
J. Grammens, Van Haver, A., Lumban-Gaol, I., Danckaers, F., Verdonck, P., and Sijbers, J., “Automated landmark annotation for morphometric analysis of distal femur and proximal tibia”, Journal of Imaging, vol. 10, no. 4, 2024.PDF icon Download paper (2.06 MB)
P. Lopes, Van Herck, P., Ooms, J., Van Mieghem, N., Wirix-Speetjens, R., Sijbers, J., Vander Sloten, J., and Bosmans, J., “Automated Mitral Valve Assessment for Transcatheter Mitral Valve Replacement (TMVR) Planning”, Frontiers in Bioengineering and Biotechnology, vol. 16, pp. 1-13, 2022.PDF icon Download paper (2.19 MB)
A. Presenti, Liang, Z., Alves Pereira, L. F., Sijbers, J., and De Beenhouwer, J., “Automatic anomaly detection from X-ray images based on autoencoder”, Nondestructive Testing and Evaluation, vol. 37, no. 5, 2022.

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