Publications

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V. Varkarakis, Bazrafkan, S., and Corcoran, P., “Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets”, Science Direct Elsevier Neural Networks, vol. 121, pp. 101-121, 2020.
J. Veraart, Rajan, J., Peeters, R. R., Leemans, A., Sunaert, S., and Sijbers, J., “Comprehensive framework for accurate diffusion MRI parameter estimation”, Magnetic Resonance in Medicine, vol. 81, no. 4, pp. 972-984, 2013.PDF icon ISMRM 2013 poster (476.78 KB)
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)
J. Veraart, Poot, D. H. J., Van Hecke, W., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., “More accurate estimation of diffusion tensor parameters using diffusion kurtosis imaging”, Magnetic Resonance in Medicine, vol. 65, pp. 138-145, 2011.PDF icon Download paper (387.31 KB)
J. Veraart, Leergaard, T. B., Antonsen, B. T., Van Hecke, W., Blockx, I., Jeurissen, B., Jiang, Y., Van Der Linden, A., Johnson, A. G., Verhoye, M., and Sijbers, J., “Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain”, NeuroImage, vol. 58, no. 4, pp. 975-983, 2011.
J. Veraart, Van Hecke, W., and Sijbers, J., “Constrained Maximum Likelihood Estimation of the Diffusion Kurtosis Tensor Using a Rician Noise Model”, Magnetic Resonance in Medicine, vol. 66, pp. 678-686, 2011.PDF icon Download paper (712.6 KB)
J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., “Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls.”, NeuroImage, vol. 81, no. 1, pp. 335-346, 2013.PDF icon Download paper (2.89 MB)
G. Verdoolaege and Scheunders, P., “Geodesics on the Manifold of Multivariate Generalized Gaussian Distributions With an Application to Multicomponent Texture Discrimination”, International Journal of Computer Vision, vol. 95, pp. 265-286, 2011.
G. Verdoolaege and Scheunders, P., “On the geometry of Multivariate Generalized Gaussian models”, Journal of Mathematical Imaging and Vision, vol. 43, no. 3, pp. 180-193, 2012.
H. Verhelst, Giraldo, D., Linden, C. Vander, Vingerhoets, G., Jeurissen, B., and Caeyenberghs, K., “Cognitive Training in Young Patients With Traumatic Brain Injury: A Fixel-Based Analysis.”, Neurorehabil Neural Repair, 2019.
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)
S. Verwulgen, Lacko, D., Vleugels, J., Vaes, K., Danckaers, F., De Bruyne, G., and Huysmans, T., “A new data structure and workflow for using 3D anthropometry in the design of wearable products”, International Journal of Industrial Ergonomics, vol. 64, pp. 108 - 117, 2018.
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.
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S. D. Washington, Hamaide, J., Jeurissen, B., Van Steenkiste, G., Huysmans, T., Sijbers, J., Deleye, S., Kanwal, J. S., De Groof, G., Liang, S., Van Audekerke, J., Wenstrup, J. J., Van Der Linden, A., Radtke-Schuller, S., and Verhoye, M., “A three-dimensional digital neurological atlas of the mustached bat (Pteronotus parnellii)”, NeuroImage, vol. 183, pp. 300-313, 2018.
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.
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.
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, Fernandes, T. Linhares, Zanini, F., Carmignato, S., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Investigating the Influence of Individual Physical Effects on Dimensional Measurement Deviations Using XCT Simulations”, Measurement, vol. 263, no. 120168, 2026.
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, vol. 44, no. 10, 2025.
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.
M. Yosifov, Fröhler, B., Sijbers, J., De Beenhouwer, J., Kastner, J., and Heinzl, C., “Superimposing Synthetic Defects into Real XCT Data and Segmentation-Based Comparison for Advanced Probability of Detection Evaluation”, Journal of Nondestructive Evaluation , vol. 44, no. 119, 2025.
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.

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