Publications

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Journal Article
K. J. Batenburg, Bals, S., Sijbers, J., Kubel, C., Midgley, P. A., Hernandez, J. C., Kaiser, U., Encina, E. R., Coronado, E. A., and Van Tendeloo, G., “3D imaging of nanomaterials by discrete tomography”, Ultramicroscopy, vol. 109, pp. 730-740, 2009.
S. Van Aert, De Backer, A., Martinez, G. T., den Dekker, A. J., Van Dyck, D., Bals, S., and Van Tendeloo, G., “Advanced electron crystallography through model-based imaging”, IUCrJ, vol. 3, 2016.
W. Guo, Hung, C. - C., Scheunders, P., Kuo, B. - C., Lan, Y., and Ma, Z., “Advanced techniques for computational and information sciences”, Mathematical Problems in Engineering, vol. 2016, 2016.
K. J. Batenburg, De Carlo, F., Mancini, L., and Sijbers, J., “Advanced X-ray tomography: experiment, modeling, and algorithms”, Measurement Science and Technology, vol. 29, no. 8, p. 080101, 2018.
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.
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.
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)
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.
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.
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.
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.
V. Nguyen, Alves Pereira, L. F., Liang, Z., Mielke, F., Van Houtte, J., Sijbers, J., and De Beenhouwer, J., “Automatic landmark detection and mapping for 2D/3D registration with BoneNet”, Frontiers Veterinary Science, 2022.PDF icon Download paper (2.51 MB)
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.
A. Van Ombergen, Jillings, S., Jeurissen, B., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E. V., Rukavishnikov, I., Manko, O., Danylichev, S., R. Rühl, M., Kozlovskaya, I. B., Sunaert, S., Parizel, P. M., Sinitsyn, V., Laureys, S. S. L., Sijbers, J., Eulenburg, Pzu, and Wuyts, F. L., “Brain ventricular volume changes induced by long-duration spaceflight”, Proceedings of the National Academy of Sciences, vol. 116, no. 21, pp. 10531-10536, 2019.
W. R. Crum, Danckaers, F., Huysmans, T., Cotel, M. - C., Natesan, S., Modo, M. M., Sijbers, J., Williams, S. C. R., Kapur, S., and Vernon, A. C., “Chronic exposure to haloperidol and olanzapine leads to common and divergent shape changes in the rat hippocampus in the absence of grey-matter volume loss”, Psychological Medicine, vol. 46, no. 15, pp. 3081-3093, 2016.
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., “Close-range hyperspectral image analysis for the early detection of plant stress responses in individual plants in a high-throughput phenotyping platform”, ISPRS Journal of Photogrammetry and Remote Sensing , vol. 138, pp. 121-138, 2018.
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., “Close-range hyperspectral image analysis for the early detection of plant stress responses in individual plants in a high-throughput phenotyping platform”, ISPRS Journal of Photogrammetry and Remote Sensing , vol. 138, pp. 121-138, 2018.
Z. Mai, Huysmans, T., and Sijbers, J., “Colon Visualization Using Cylindrical Parameterization”, Lecture Notes in Computer Science, vol. 4678, pp. 607-615, 2007.PDF icon Full text (1.44 MB)
N. Van Camp, Blockx, I., Camon, L., de Vera, N., Verhoye, M., Veraart, J., Van Hecke, W., Martinez, E., Guadelupe, S., Sijbers, J., Planas, A., and Van Der Linden, A., “A complementary DTI-histological study in a model of Huntingtons disease”, Neurobiology of Aging, vol. 33, pp. 945-959, 2012.
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.
J. Morez, Sijbers, J., Vanhevel, F., and Jeurissen, B., “Constrained spherical deconvolution of non-spherically sampled diffusion MRI data”, Human Brain Mapping, vol. 42, pp. 521–538, 2020.PDF icon Download paper (5.87 MB)
W. Van Hecke, Sijbers, J., D'Agostino, E., Maes, F., De Backer, S., Vandervliet, E., Parizel, P. M., and Leemans, A., “On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain”, NeuroImage, vol. 43, pp. 69-80, 2008.PDF icon Download paper (3.34 MB)
Z. Mahmood, Akhter, M. A., Thoonen, G., and Scheunders, P., “Contextual Subpixel Mapping of Hyperspectral Images Making Use of a High Resolution Color Image”, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 779 - 791, 2013.
J. Praet, Manyakov, N., Muchene, L., Mai, Z., Terzopoulos, V., De Backer, S., Torremans, A., Guns, P. - J., Van De Casteele, T., Bottelbergs, A., Van Broeck, B., Sijbers, J., Smeets, D., Shkedy, Z., Bijnens, L., Pemberton, D., Schmidt, M., Van Der Linden, A., and Verhoye, M., “Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid β-induced pathology.”, Alzheimer's Research & Therapy , vol. 10, no. 1, pp. 1-16, 2018.

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