Publications

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J. - P. Jacobs, Thoonen, G., Tuia, D., Camps-Valls, G., Kempeneers, P., and Scheunders, P., Spectral adaptation of hyperspectral flight lines using VHR contextual information, in Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, Quebec City, QC, Canada, 2014, pp. 2953-2956.
J. - P. Jacobs, Thoonen, G., Tuia, D., Camps-Valls, G., Haest, B., and Scheunders, P., Domain adaptation with Hidden Markov Random Fields, in Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, Melbourne, VIC, Australia, 2013, pp. 3112-3115.
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.
K. Vinay Jambhali, Koirala, B., Bnoulkacem, Z., and Scheunders, P., Soil Moisture Content Estimation from Hyperspectral Remote Sensing Data, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon soil_ketaki.pdf (580.15 KB)
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)
E. Janssens, Sijbers, J., Dierick, M., and De Beenhouwer, J., Fast detection of cracks in ultrasonically welded parts by inline X-ray inspection, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.
E. Janssens, De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt, in IEEE International Conference on Image Processing, 2015, pp. 917-921.
E. Janssens, Pelt, D., De Beenhouwer, J., Van Dael, M., Verboven, P., Nicolai, B., and Sijbers, J., Fast Neural Network Based X-Ray Tomography of Fruit on a Conveyor Belt, Chemical Engineering Transactions, vol. 44, pp. 181-186, 2015.
E. Janssens, De Beenhouwer, J., Sanctorum, J., Senck, S., Heinzl, C., and Sijbers, J., Dual axis Dark Field Contrast Tomography for visualisation of scattering directions in a CFRP sample, 4th Conference on X-ray and Neutron Phase Imaging with Gratings. Zürich, Switzerland, pp. 79-80, 2017.PDF icon Download poster (729.94 KB)PDF icon Download abstract (116.29 KB)
E. Janssens, De Beenhouwer, J., Van Dael, M., De Schryver, T., Van Hoorebeke, L., Verboven, P., Nicolai, B., and Sijbers, J., Neural network Hilbert transform based filtered backprojection for fast inline X-ray inspection, Measurement Science and Technology, vol. 29, no. 3, 2018.PDF icon Download paper (3.4 MB)
E. Janssens, Senck, S., Heinzl, C., Kastner, J., De Beenhouwer, J., and Sijbers, J., Fast Reconstruction of CFRP X-ray Images based on a Neural Network Filtered Backprojection Approach, in 7th Conference on Industrial Computed Tomography, Leuven, Belgium, 2017.PDF icon Download paper (345.06 KB)
E. Janssens, Advances in X-ray reconstruction algorithms for limited data problems in conventional and non-conventional projection geometries, 2018.PDF icon Download thesis (17.29 MB)
P. Jedrasik, Garcia, J., De Boeck, B., and Van Dyck, D., Optimal filtering versus regularization methods in the Fourier precompensation based proximity neurocorrection in electron beam lithography, Microelectronic Engineering, vol. 41, pp. 195-198, 1998.
H. K. Jenssen, Oberlander, B. C., De Beenhouwer, J., Sijbers, J., and Verwerft, M., Neutron radiography and tomography applied to fuel degradation during ramp tests and loss of coolant accident tests in a research reactor, Progress in Nuclear Energy, vol. 72, pp. 55-62, 2014.
B. Jeurissen, Ramos-Llordén, G., Vanhevel, F., Parizel, P. M., and Sijbers, J., Super-resolution for spherical deconvolution of multi-shell diffusion MRI data, Proc Intl Soc Mag Reson Med 26. p. 36, 2018.
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., HARDI-based methods for fiber orientation estimation, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3585, 2012.
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., Can residual bootstrap reliably estimate uncertainty in fiber orientation obtained by spherical deconvolution from diffusion-weighted MRI?, 14th Annual Meeting of the Organization of Human Brain Mapping, vol. 41. Melbourne, Australia, 2008.
B. Jeurissen, Naeyaert, M., Leemans, A., and Sijbers, J., Correction of DWI gradient orientations using registration techniques, 3rd meeting of the ISMRM Benelux Chapter, Hoeven, The Netherlands. 2011.
B. Jeurissen, Westin, C. - F., Sijbers, J., and Szczepankiewicz, F., Improved precision and accuracy in q-space trajectory imaging by model-based super-resolution reconstruction, Proc Intl Soc Mag Reson Med 27. p. 556, 2019.
B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution, Human Brain Mapping, vol. 32, no. 3, pp. 461 - 479, 2011.
B. Jeurissen and Szczepankiewicz, F., Spherical deconvolution of diffusion MRI data with tensor-valued encodings, Proc Intl Soc Mag Reson Med 26. p. 1559, 2018.

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