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G. Van Steenkiste, Jeurissen, B., Baete, S., den Dekker, A. J., Poot, D. H. J., Boada, F., and Sijbers, J., “High Resolution Diffusion Tensor Reconstruction from Simultaneous Multi-Slice Acquisitions in a Clinically Feasible Scan Time”, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 2, 2016.
G. Van Steenkiste, Jeurissen, B., Poot, D. H. J., and Sijbers, J., “Super resolution reconstruction of diffusion tensor parameters from multi-oriented diffusion weighted images”, Imaging the brain at different scales: How to integrate multi-scale structural information?. 2013.
A. Van Tongel, Toussaint, A., De Wilde, L., and Huysmans, T., “3D evaluation of clavicle fractures”, SECED-ESSE Congress of the european society for surgery of the shoulder and the elbow, Milano, Italy, September 16-19. 2015.
A. Van Tongel, Huysmans, T., Bernat, A., Piepers, I., Sijbers, J., Van Glabbeek, F., and De Wilde, L., “Evaluation of prominence of straight plates and precontoured clavicle plates using automated plate-to-bone fitting”, Acta Orthopaedica Belgica, vol. 80, no. 3, pp. 301-308, 2014.PDF icon Download paper (582.85 KB)
A. Van Tongel, De Wilde, L., Shimamura, Y., Sijbers, J., and Huysmans, T., “Fracture patterns in midshaft clavicle fractures”, Acta Orthop Belg , vol. 87, no. 3, pp. 501-507, 2021.PDF icon Download paper (830.55 KB)
A. Van Tongel, Huysmans, T., Bernat, A., Sijbers, J., and Van Glabbeek, F., “Mediolateral shape and curvature analysis of the clavicle”, 21st Annual Scientific Meeting of the British Elbow and Shoulder Society in Newcastle. 2011.
A. Van Tongel, De Wilde, L., De Smet, K., Decock, T., Van Herzele, E., Van Den Broecke, R., Shimamura, Y., Sijbers, J., and Huysmans, T., “Fracture Patterns In Midshaft Clavicle Fracture”, the 27th Congress of the European Society for Surgery of the Shoulder and the Elbow (SECEC-ESSSE), Brussels. 2017.
L. Vanacken, Pinho, R., Sijbers, J., and Coninx, K., “Force Feedback to Assist Active Contour Modelling for Tracheal Stenosis Segmentation”, Advances in Human-Computer Interaction, vol. 2012, 2012.PDF icon Download paper (3.6 MB)
M. Vandecasteele, Heylen, R., Iuso, D., Thanki, A., Philips, W., Witvrouw, A., Verhees, D., and Booth, B. G., “Towards material and process agnostic features for the classification of pore types in metal additive manufacturing”, Materials & Design, vol. 227, p. 111757, 2023.
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, Francken, N., Sanctorum, J., Sijbers, J., and De Beenhouwer, J., “Gratings for multiresolution edge illumination X-ray phase contrast imaging: concept and simulation”, Optics Express, vol. 33, no. 8, pp. 17886-17902, 2025.
P. - J. Vanthienen, “Towards adaptive multi-resolution edge illumination X-ray phase contrast imaging”, 2025.
P. - J. Vanthienen, Francken, N., Sijbers, J., and De Beenhouwer, J., “Multi-resolution gratings for edge illumination x-ray phase contrast imaging: a simulation study”, in Developments in X-Ray Tomography XV, 2024, vol. 13152, p. 1315208.
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, 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)
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, 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)

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