Publications

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2016
J. Cant and Sijbers, J., Method and system for correcting geometric misalignment during image reconstruction in chest tomosynthesis, U.S. Patent EP16173767.12016.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., Methodological Considerations on Graph Theoretical Analysis of Structural Brain Networks, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 3437, 2016.
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Wuyts, N., and Scheunders, P., Modeling effects of illumination and plant geometry on leaf reflectance spectra in close-range hyperspectral imaging, in 8th WHISPERS - Evolution in Remote Sensing, Los Angeles, USA, 2016.
R. Heylen and Scheunders, P., A multilinear mixing model for nonlinear spectral unmixing, IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 1, pp. 240-251, 2016.
P. Bladt, Van Steenkiste, G., Ramos-Llordén, G., den Dekker, A. J., and Sijbers, J., Multi-voxel algorithm for quantitative bi-exponential MRI T1 estimation, in SPIE Medical Imaging, San Diego, California, United States of America, 2016, vol. 9784, p. 978402.PDF icon Download paper (624.23 KB)
G. Ramos-Llordén, den Dekker, A. J., Björk, M., Verhoye, M., and Sijbers, J., NOVIFAST: A fast non-linear least squares method for accurate and precise estimation of T1 from SPGR signals, 24th Annual Meeting of the ISMRM, Singapore. 2016.
A. Adibi, Karami, A., Heylen, R., and Scheunders, P., Optical Solutions for Improving Spatial Resolution of Hyperspectral Sensors, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
T. Huysmans, Sijbers, J., and Verstreken, F., Orthosis, U.S. Patent WO/2016/1812822016.
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.
T. B. A. de Carvalho, Sibaldo, M. A. A., Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Pixel clustering for face recognition, in 5th Brazilian Conference on Intelligent Systems, Brazil, 2016, pp. 121-126.
N. Garofil, On the problem of uploading pdf files. 2016.PDF icon testje.pdf (36.47 KB)
A. Dabravolski, De Beenhouwer, J., and Sijbers, J., Projection-based polygon estimation in X-ray computed tomography, in 6th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS), 2016, pp. 41-50.PDF icon Download paper (615.72 KB)
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.
Q. Collier, den Dekker, A. J., Jeurissen, B., and Sijbers, J., Robust DKI parameter estimation in case of CSF partial volume effects, ISMRM 24th annual meeting, Singapore. 2016.
Q. Collier, den Dekker, A. J., Jeurissen, B., and Sijbers, J., Robust DKI Parameter Estimation in Case of CSF Partial Volume Effects, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 1044, 2016.
Q. Collier, den Dekker, A. J., Jeurissen, B., and Sijbers, J., A robust framework for combined estimation of DKI and CSF partial volume fraction parameters, 8th annual meeting of the ISMRM Benelux chapter, Eindhoven, Netherlands. 2016.
M. Van Dael, Lebotsa, S., Herremans, E., Verboven, P., Sijbers, J., Opara, U. L., Cronje, U. L., and Nicolai, B., A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs, Postharvest Biology and Technology, vol. 112, pp. 205-214, 2016.
A. De Backer, van den Bos, K. H. W., Van den Broek, W., Sijbers, J., and Van Aert, S., StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images, Ultramicroscopy, vol. 171, pp. 104–116, 2016.
A. Muhammad Akhter, Subpixel analysis of hyperspectral remote sensing images, 2016.
G. Van Steenkiste, Super-resolution estimation of quantitative MRI parameters, University of Antwerp, 2016.PDF icon Download PhD thesis (7.56 MB)
Z. H. Nezhad, Karami, A., Heylen, R., and Scheunders, P., Superresolution Of Hyperspectral Images Using Spectral Unmixing And Sparse Regularization, in IGARSS 2016, Beijing China, 2016.
G. Van Steenkiste, Jeurissen, B., Veraart, J., den Dekker, A. J., Parizel, P. M., Poot, D. H. J., and Sijbers, J., Super-resolution reconstruction of diffusion parameters from diffusion-weighted images with different slice orientations, Magnetic Resonance in Medicine, vol. 75, no. 1, pp. 181-195, 2016.
S. De Santis, Assaf, Y., Jeurissen, B., Jones, D. K., and Roebroeck, A., T1 relaxometry of crossing fibres in the human brain., NeuroImage, 2016.
Z. Wang, Rogge, S., Van Dael, M., Van Nieuwenhove, V., Verboven, P., Sijbers, J., and Nicolai, B., Understanding microstructural deformation of apple tissue from 4D micro-CT imaging, ISHS Symposium 2016: Sensing Plant Water Status - Methods and Applications in Horticultural Science. Potsdam, Germany, 5-7 October. 2016.
W. S. Oliveira, Teixeira, J. V., Tsang, I. R., Cavalcanti, G. D. C., and Sijbers, J., Unsupervised Retinal Vessel Segmentation Using Combined Filters, Plos One, vol. 11, pp. 1-21, 2016.

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