Publications

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2020
B. Auer, Kalluri, K., De Beenhouwer, J., Zeraatkar, N., Momsen, N., Kuo, P. H., Furenlid, L. R., and King, M. A., “Keel-Edge Height Selection for Improved Multi-Pinhole 123I Brain SPECT Imaging”, Journal of Nuclear Medicine, vol. 61, p. 573, 2020.PDF icon Download paper (127.73 KB)
B. Auer, Kalluri, K., De Beenhouwer, J., Doty, K., Zeraatkar, N., Kuo, P. H., Furenlid, L. R., and King, M. A., “Reconstruction using Depth of Interaction Information of Curved and Flat Detector Designs for Quantitative Multi-Pinhole Brain SPECT”, Journal of Nuclear Medicine, vol. 61, p. 103, 2020.PDF icon snm2020_recon_curved.pdf (103.23 KB)
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)
2019
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)
V. Andrejchenko, Liao, W., Philips, W., and Scheunders, P., “Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields”, Remote Sensing, vol. 11, 2019.PDF icon remotesensing-11-00624.pdf (1.5 MB)
J. Sanctorum, Adriaens, D., Dirckx, J. J. J., Sijbers, J., Van Ginneken, C., Aerts, P., and Van Wassenbergh, S., “Methods for characterization and optimisation of measuring performance of stereoscopic x-ray systems with image intensifiers”, Measurement Science and Technology, vol. 30, no. 10, 2019.
J. Sanctorum, Adriaens, D., Dirckx, J. J. J., Sijbers, J., Van Ginneken, C., Aerts, P., and Van Wassenbergh, S., “Methods for characterization and optimisation of measuring performance of stereoscopic x-ray systems with image intensifiers”, Measurement Science and Technology, vol. 30, no. 10, 2019.
R. Heylen, Andrejchenko, V., Zahiri, Z., Parente, M., and Scheunders, P., “Nonlinear hyperspectral unmixing with graphical models”, IEEE Transaction on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4844-4856, 2019.PDF icon published.pdf (3.15 MB)
A. Könik, Auer, B., De Beenhouwer, J., Kalluri, K., Zeraatkar, N., Furenlid, L. R., and King, M. A., “Primary, scatter, and penetration characterizations of parallel-hole and pinhole collimators for I-123 SPECT”, Physics in Medicine & Biology, vol. 64, no. 24, p. 245001, 2019.PDF icon i123_spectra_final_revision_11_7_19.pdf (7.63 MB)
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., “Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks”, Medical Image Analysis, vol. 52, pp. 56-67, 2019.PDF icon Download paper (4.03 MB)
2018
A. Van Ombergen, Jillings, S., Jeurissen, B., Tomilovskaya, E., Rühl, M., Rumshiskaya, A., Nosikova, I., Litvinova, L., Annen, J., Pechenkova, E. V., Kozlovskaya, I. B., Sunaert, S., Parizel, P. M., Sinitsyn, V., Laureys, S. S. L., Sijbers, J., Eulenburg, Pzu, and Wuyts, F. L., “Brain Tissue–Volume Changes in Cosmonauts”, New England Journal of Medicine, vol. 379, no. 17, pp. 1678 - 1680, 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.
H. Aerts, Schirner, M., Jeurissen, B., Van Roost, D., Achten, E., Ritter, P., and Marinazzo, D., “Modeling brain dynamics in brain tumor patients using The Virtual Brain”, eNeuro, 2018.
H. Aerts, Schirner, M., Jeurissen, B., Van Roost, D., Achten, E., Ritter, P., and Marinazzo, D., “Modeling brain dynamics in brain tumor patients using The Virtual Brain”, eNeuro, 2018.
S. Huijs, Huysmans, T., De Jong, A., Arnout, N., Sijbers, J., and Bellemans, J., “Principal component analysis as a tool for determining optimal tibial baseplate geometry in modern TKA design”, Acta Orthop Belg, vol. 84, no. 4, pp. 452-460, 2018.
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.
M. Mohammadian, Roine, T., Hirvonen, J., Kurki, T., Ala-Seppälä, H., Frantzén, J., Katila, A., Kyllönen, A., Maanpää, H. - R., Posti, J., Takala, R., Tallus, J., and Tenovuo, O., “High angular resolution diffusion-weighted imaging in mild traumatic brain injury”, NeuroImage: Clinical, vol. 13, pp. 174 - 180, 2017.PDF icon Download paper (848.3 KB)
L. F. Alves Pereira, Janssens, E., Cavalcanti, G. D. C., Tsang, I. R., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., “Inline Discrete Tomography system: application to agricultural product inspection”, Computers and Electronics in Agriculture, vol. 138, pp. 117–126, 2017.
2016
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.
A. Demertzi, Van Ombergen, A., Tomilovskaya, E., Jeurissen, B., Pechenkova, E. V., Di Perri, C., Litvinova, L., Amico, E., Rumshiskaya, A., Rukavishnikov, I., Sijbers, J., Sinitsyn, V., Kozlovskaya, I. B., Sunaert, S., Parizel, P. M., Van de Heyning, P. H., Laureys, S. S. L., and Wuyts, F. L., “Cortical reorganization in an astronaut’s brain after long-duration spaceflight”, Brain Structure and Function, vol. 221, no. 5, pp. 2873–2876, 2016.PDF icon Download paper (820.49 KB)
D. Perrone, Jeurissen, B., Aelterman, J., Roine, T., Sijbers, J., Pizurica, A., Leemans, A., and Philips, W., “D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data”, PlosOne, vol. 11, pp. 1-23, 2016.PDF icon Download paper (16.22 MB)
J. Veraart, Novikov, D. S., Daan, C., Ades-Aron, B., Sijbers, J., and Fieremans, E., “Denoising of diffusion MRI using random matrix theory”, NeuroImage, vol. 142, pp. 384-396, 2016.PDF icon Download paper (4.53 MB)
E. Janssens, Alves Pereira, L. F., De Beenhouwer, J., Tsang, I. R., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., “Fast inline inspection by neural network based filtered backprojection: Application to apple inspection”, Case Studies in Nondestructive Testing and Evaluation, vol. 6, pp. 14–20, 2016.PDF icon Download paper (726.63 KB)
J. Kenney, McInerney, S., McPhilemy, G., Najt, P., Scanlon, C., Arndt, S., Scherz, E., Byrne, F., Leemans, A., Jeurissen, B., Donohoe, G., Hallahan, B., McDonald, C., and Cannon, D., “P. 3.033 Lateralisation of the arcuate fasciculus in psychosis & the role in verbal learning & auditory verbal hallucinations”, European Neuropsychopharmacology, vol. 26, no. 1, pp. S76–S77, 2016.
D. Zanaga, Bleichrodt, F., Altantzis, T., Winckelmans, N., Palenstijn, W. J., Sijbers, J., de Nijs, B., van Huis, M. A., Sánchez-Iglesias, A., Liz-Marzán, L. M., van Blaaderen, A., Batenburg, K. J., Bals, S., and Van Tendeloo, G., “Quantitative 3D analysis of huge nanoparticle assemblies.”, Nanoscale, vol. 8, no. 1, pp. 292-9, 2016.

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