Publications

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Journal Article
N. Francken, Sanctorum, J., Sanctorum, J., Vanthienen, P. - J., Sijbers, J., and De Beenhouwer, J., “Inline edge illumination X-ray phase contrast imaging through mask misalignment”, Optics Express, vol. 32, no. 18, pp. 32048-32061, 2024.PDF icon Download paper (1.69 MB)
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.
D. Van Dyck and Garcia, J., “INFOTREE: A new generic method for supervised pattern”, Pattern Recognition Letters, vol. 18, pp. 1211-1217, 1997.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Leemans, A., and Sijbers, J., “Informed constrained spherical deconvolution (iCSD)”, Medical Image Analysis, vol. 24, no. 1, pp. 269–281, 2015.PDF icon Download accepted manuscript (987.95 KB)
P. M. Parizel, Van Rompaey, V., Loock, V. R., Van Hecke, W., Van Goethem, J., Leemans, A., and Sijbers, J., “Influence of User-Defined Parameters on Diffusion Tensor Tractography of the Corticospinal Tract”, The Neuroradiology Journal, pp. 139-147, 2007.
S. B. Vos, Jones, D. K., Jeurissen, B., Viergever, M. A., and Leemans, A., “The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain”, NeuroImage, vol. 59, no. 3, pp. 2208 - 2216, 2012.
U. Roine, Roine, T., Salmi, J., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., Leemans, A., and Sams, M., “Increased coherence of white matter fiber tract organization in adults with Asperger syndrome: A diffusion tensor imaging study”, Autism Research, vol. 6, no. 6, pp. 642-650, 2013.PDF icon Download paper (1.2 MB)
G. De Groof, Verhoye, M., Van Meir, V., Tindemans, I., Leemans, A., and Van Der Linden, A., “In vivo diffusion tensor imaging (DTI) of brain subdivisions and vocal pathways in songbirds”, NeuroImage, vol. 29, pp. 754-763, 2006.
J. Renders, Jeurissen, B., Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., “ImWIP: open-source image warping toolbox with adjoints and derivatives”, SoftwareX, vol. 24, p. 101524, 2023.PDF icon Download paper (1 MB)
T. Huysmans, Sijbers, J., Vanpoucke, F., and Verdonk, B., “Improved Shape Modeling of Tubular Objects Using Cylindrical Parameterization”, Lecture Notes in Computer Science, vol. 4091, pp. 84-91, 2006.
Y. D. Reijmer, Leemans, A., Heringa, S. M., Wielaard, I., Jeurissen, B., Koek, H. L., and Biessels, G. J., “Improved sensitivity to cerebral white matter abnormalities in Alzheimer's disease with spherical deconvolution based tractography.”, PloS one, vol. 7, no. 8, p. e44074, 2012.
V. Anania, Collier, Q., Veraart, J., Buikema, A. Eline, Vanhevel, F., Billiet, T., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Improved diffusion parameter estimation by incorporating T2 relaxation properties into the DKI-FWE model”, NeuroImage, vol. 256, p. 119219, 2022.
D. H. J. Poot, Pintjens, W., Verhoye, M., Van Der Linden, A., and Sijbers, J., “Improved B0 field map estimation for high field EPI”, Magnetic Resonance Imaging, vol. 28, pp. 441-450, 2010.PDF icon Download paper (1.29 MB)
E. Byl, Bladt, P., Lebeer, S., and Kiekens, F., “Importance of pressure plasticity during compression of probiotic tablet formulations”, European Journal of Pharmaceutics and Biopharmaceutics, vol. 145, pp. 7-11, 2019.
A. J. den Dekker and Sijbers, J., “Implications of the Rician distribution for fMRI generalized likelihood ratio tests”, Magnetic Resonance Imaging, vol. 23, pp. 953-959, 2005.PDF icon Download paper (1.36 MB)
C. Gupta, Van de Casteele, E., and Chakravartty, J. K., “Imaging of voids due to deformation in alloy steel using micro-focus X-ray beam”, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 267, no. 20, pp. 3488 - 3490, 2009.
M. Verhoye, Van Der Linden, A., Van Audekerke, J., Sijbers, J., Eens, M., and Balthazart, J., “Imaging birds in a bird cage: in-vivo FSE 3D MRI of bird brain”, MAGMA: Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 6, pp. 22-27, 1998.PDF icon Download paper (1.33 MB)
J. Deng, Renders, J., Meenaketan, B. Linkoon P., Takalloo, S. Ebrahimi, Braeken, D., De Beenhouwer, J., and Sijbers, J., “Imaging Algorithm and Optimal Measurement Protocol for 3D Impedance Tomography on 2D High Density Micro Electrode Array”, IEEE Sensors, vol. 24, no. 15, pp. 24452-24465, 2024.
I. J. Tsang, Tsang, I. R., and Van Dyck, D., “Image processing using neighbourhood coding”, Pattern Recognition Letters, vol. 20, pp. 1279-1286, 1999.
T. De Kerf, Pipintakos, G., Zahiri, Z., Vanlanduit, S., and Scheunders, P., “Identification of corrosion minerals usning shortwave infrared hyperspectral imaging”, Sensors, vol. 22, no. 1, p. 407, 2022.PDF icon sensors-22-00407-v2.pdf (4.41 MB)
I. Blockx, Verhoye, M., Van Audekerke, J., Bergwerf, I., Kane, J. X., Delgado Y Palacios, R., Veraart, J., Jeurissen, B., Raber, K., Von Hörsten, S., Ponsaerts, P., Sijbers, J., Leergaard, T. B., and Van Der Linden, A., “Identification and characterization of Huntington related pathology: an in vivo DKI imaging study”, NeuroImage, vol. 63, no. 2, pp. 653-662, 2012.
R. Heylen, Zare, A., Gader, P., and Scheunders, P., “Hyperspectral unmixing with endmember variability via alternating angle minimization”, IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 8, pp. 4983-4993, 2016.
P. Gosh, Roy, S. Kumar, Koirala, B., Rasti, B., and Scheunders, P., “Hyperspectral Unmixing using Transformer Network”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.PDF icon transformer_unmixing_author_version_to_upload.pdf (14.65 MB)
P. Ghosh, Roy, S. Kumar, Koirala, B., Rasti, B., and Scheunders, P., “Hyperspectral Unmixing Using Transformer Network”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.PDF icon transformer_unmixing.pdf (6.32 MB)
J. Bioucas-Dias, Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., and Chanussot, J., “Hyperspectral remote sensing data analysis and future challenges”, IEEE Geoscience and Remote Sensing Magazine, vol. 1, no. 2, pp. 6-36, 2013.

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