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E. Vandervliet, Nagels, G., Heinecke, A., Van Hecke, W., Leemans, A., Sijbers, J., and Parizel, P. M., On the cause and mechanisms of the negative BOLD response in fMRI, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, p. 308.
G. Vanhoutte, Verhoye, M., Peeters, R. R., Sijbers, J., Eelen, J., Dhooghe, R., De Deyn, P. P., and Van Der Linden, A., Simultaneously recording of EEG/fMRI to study neurophysiological changes in rat brain during pentetrazol induced epileptic seizures, in Federation of European Neuroscience (FENS) Millennium Meeting, Brighton, UK, 2000, vol. 12, p. 107.
G. Vanhoutte, Pereson, S., Delgado Y Palacios, R., Guns, P. - J., Asselbergh, B., Veraart, J., Sijbers, J., Verhoye, M., Van Broeckhoven, C., and Van Der Linden, A., Diffusion kurtosis imaging to detect amyloidosis in an APP/PS1 mouse model for Alzheimer's disease, Magnetic Resonance in Medicine, vol. 69, no. 4, pp. 1115–1121, 2013.
P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., Alternative grating designs for cone-beam edge illumination X-ray phase contrast imaging, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, San Diego, USA, 2022, vol. 12242, p. 122420Z.
P. - J. Vanthienen, Sanctorum, J., Huyge, B., Six, N., Sijbers, J., and De Beenhouwer, J., Grating designs for cone beam edge illumination X-ray phase contrast imaging: a simulation study, Optics Express, vol. 31, no. 17, pp. 28051-28064, 2023.
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, Knoll, F., Sijbers, J., Fieremans, E., and Novikov, D. S., Gibbs ringing removal in diffusion MRI using second order total variation minimization, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2809, 2015.PDF icon Download abstract (1.1 MB)
J. Veraart, Van Hecke, W., Poot, D. H. J., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., A more accurate and b-value independent estimation of diffusion parameters using Diffusion Kurtosis Imaging, ISMRM Chapter Benelux conference proceedings. Utrecht, the Netherlands, p. 10, 2010.
J. Veraart and Sijbers, J., Post-processing of diffusion-weighted MR data lowers the accuracy of the weighted linear least squares estimator , Proceedings of the International Society for Magnetic Resonance in Medicine, vol. 22. p. 2573, 2014.PDF icon Download abstract (556.84 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, 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, Optimal estimation of diffusion MRI parameters, 2013.PDF icon Download thesis (15.42 MB)
J. Veraart, Blockx, I., Van Hecke, W., Verhoye, M., Van Der Linden, A., and Sijbers, J., Improved non rigid coregistration of diffusion kurtosis images by incorporating diffusion kurtosis tensor information, Proceedings of the European Society for Magnetic Resonance in Medicine and Biology. Antalya, Turkey, p. 36, 2009.
J. Veraart and Sijbers, J., Diffusion Kurtosis Imaging, in Diffusion Tensor Imaging: a practical handbook, New York: Springer-Verlag, 2016, pp. 407-418.
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)
J. Veraart, Sijbers, J., Sunaert, S., Leemans, A., and Jeurissen, B., “The weighted linear least squares for estimating diffusion (kurtosis) tensors: Revisited, ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure. Podstrana, Croatia, 2013.
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, Antonsen, B. T., Blockx, I., Van Hecke, W., Jiang, Y., Johnson, A. G., Van Der Linden, A., Leergaard, T. B., Verhoye, M., and Sijbers, J., Construction of a population based diffusion tensor image atlas of the Sprague Dawley rat brain, ISMRM, 18th Scientific Meeting and Exhibition. Stockholm, Sweden, 2010.
J. Veraart, Van Hecke, W., Poot, D. H. J., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., A more accurate and b-value independent estimation of diffusion parameters using Diffusion Kurtosis Imaging,, ISMRM, 18th Scientific Meeting and Exhibition. Stockholm, Sweden, 2010.
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, Van Hecke, W., Poot, D. H. J., and Sijbers, J., Constrained maximum likelihood estimator for more accurate diffusion kurtosis tensor estimates, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.
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, Van Hecke, W., Blockx, I., Van Der Linden, A., Verhoye, M., and Sijbers, J., Non-Rigid coregistration of diffusion kurtosis data, in Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on, Rotterdam, the Netherlands, 2010, pp. 392-395.PDF icon Download paper (278.35 KB)
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.
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.

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