Publications

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B. Weyn, Van de Wouwer, G., Samir, G. K., Van Daele, A., Scheunders, P., Van Marck, E., and Jacob, W., “Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analysis”, Cytometry, vol. 35, pp. 23-29, 1999.
B. Weyn, Van de Wouwer, G., Koprowski, M., Van Daele, A., Dhaene, K., Scheunders, P., Jacob, W., and Van Marck, E., “Value of morphometry, texture analysis, densitometry and histometry in the differential diagnosis and prognosis of malignant mesothelioma”, Journal of Pathology, vol. 4, pp. 581-589, 1999.
B. Weyn, Tjalam, W., Van de Wouwer, G., Van Daele, A., Scheunders, P., Jacob, W., Van Marck, E., and Van Dyck, D., “Validation of nuclear texture density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma”, Analytical and Quantitative Cytology and Histology, vol. 22, pp. 373-382, 2000.
B. Weyn, Van de Wouwer, G., Van Daele, A., Scheunders, P., Van Dyck, D., Van Marck, E., and Jacob, W., “Automated breast tumour diagnosis and grading based on wavelet chromatin texture description”, Cytometry, vol. 33, pp. 32-40, 1998.
G. Wolf and Scheunders, P., “Evaluation of the swimming activity of Daphnia magna by image analysis after administration of sublethal Cadmium concentrations”, Comparative Biochemistry and Physiology A, vol. 120, pp. 99-105, 1998.
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M. Yosifov, Lang, T., Florian, V., Gerth, S., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI”, Journal of Nondestructive Evaluation, In Press.
M. Yosifov, Reiter, M., Heupl, S., Gusenbauer, C., Fröhler, B., R. Gutierrez, F. -, De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Probability of Detection applied to X-ray inspection using numerical simulations”, Nondestructive Testing and Evaluation, vol. 37, no. 5, pp. 536-551, 2022.
S. Yu, De Backer, S., and Scheunders, P., “Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery”, Pattern Recognition Letters, vol. 23, pp. 183-190, 2002.
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M. A. Zampini, Sijbers, J., Verhoye, M., and Garipov, R., “A preparation pulse for fast steady state approach in Actual Flip angle Imaging”, Medical Physics, vol. 51, no. 1, pp. 306-318, 2024.
D. Zanaga, Bleichrodt, F., Altantzis, T., Winckelmans, N., Palenstijn, W. J., Sijbers, J., van Nijs, B., van Huis, M. A., van Blaaderen, A., Sánchez-Iglesias, A., Liz-Marzán, L. M., Batenburg, K. J., Bals, S., and Van Tendeloo, G., “Quantitative 3D analysis of huge nanoparticle assemblies”, Nanoscale, vol. 8, no. 1, pp. 292-299, 2015.
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.
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.
M. Zare, M. Helfroush, S., Kazemi, K., and Scheunders, P., “Hyperspectral and multispectral image fusion using coupled non-negative tucker tensor decomposition”, Remote Sensing, vol. 13, no. 2930, 2021.PDF icon remotesensing-13-02930.pdf (3.79 MB)
K. Zarei Zefreh, Van Aarle, W., Batenburg, K. J., and Sijbers, J., “DART: a new approach for super-resolution reconstruction of license plates”, Journal of Electronic Imaging, vol. 22, no. 4, 2013.PDF icon Download paper (2.03 MB)
K. Zarei Zefreh, Van Aarle, W., Batenburg, K. J., and Sijbers, J., “Super-Resolution of License Plate Images using Algebraic Reconstruction Technique”, Journal of Image and Graphics, vol. 1, no. 2, pp. 94 - 98, 2013.PDF icon Download paper (812.84 KB)
G. Zhang, Scheunders, P., Cerra, D., and Muller, R., “Shadow-aware nonlinear spectral unmixing for hyperspectral imagery”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5514-5533, 2022.PDF icon shadow-aware_nonlinear_spectral_unmixing_for_hyperspectral_imagery.pdf (9.51 MB)
Y. Zhang, Duijster, A., and Scheunders, P., “A Bayesian Restoration Approach for Hyperspectral Images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 9, pp. 3453-3462, 2012.
Y. Zhang, De Backer, S., and Scheunders, P., “Noise-resistant wavelet-based Bayesian fusion of multispectral and hyperspectral images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 47, pp. 3834-3843, 2009.
H. Zivari Adab, Chalavi, S., Beets, I., Gooijers, J., Leunissen, I., Cheval, B., Collier, Q., Sijbers, J., Jeurissen, B., Swinnen, S. P., and Boisgontier, M., “White matter microstructural organization of interhemispheric pathways predicts different stages of bimanual coordination learning in young and older adults”, European Journal of Neuroscience , vol. 47, no. 5, pp. 446–459, 2018.

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