Publications

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2012
D. Lacko, Huysmans, T., Verwulgen, S., Parizel, P. M., Van Hulle, M. M., and Sijbers, J., “Statistical shape modelling in support of user-centred BCI headset design”, BBCI Workshop 2012 on Advances in Neurotechnology. 2012.PDF icon Download abstract (310.9 KB)
D. Lacko, Huysmans, T., Verwulgen, S., Parizel, P. M., Van Hulle, M. M., and Sijbers, J., “Statistical shape modelling in support of user-centred BCI headset design”, BBCI Workshop 2012 on Advances in Neurotechnology. 2012.PDF icon Download abstract (310.9 KB)
W. Van Aarle, “Tomographic segmentation and discrete tomography for quantitative analysis of transmission tomography data”, University of Antwerp, Antwerp, Belgium, 2012.PDF icon Download PhD thesis (39.16 MB)
2011
Z. Mai, Hanel, R., Batenburg, K. J., Verhoye, M., Scheunders, P., and Sijbers, J., “Bias field reduction by localized Lloyd-Max quantization”, Magnetic Resonance Imaging, vol. 29, no. 4, pp. 536-545, 2011.
E. Van de Casteele, Batenburg, K. J., Salmon, P., and Sijbers, J., “Bone segmentation using discrete tomography”, in Micro-CT User Meeting, 2011, pp. 178-183.PDF icon Download paper (107.53 KB)
J. Juntu, Schepper, A. D. M., Van Dyck, P., Van Dyck, D., Gielen, J. L., Parizel, P. M., and Sijbers, J., “Classification of Soft Tissue Tumors by Machine Learning Algorithms”, in Soft Tissue Tumors, InTech, 2011.PDF icon Book.Chapter-Copy.Sent_.to_.InTech-(21.07.2011).pdf (732.07 KB)
J. Juntu, Schepper, A. D. M., Van Dyck, P., Van Dyck, D., Gielen, J. L., Parizel, P. M., and Sijbers, J., “Classification of Soft Tissue Tumors by Machine Learning Algorithms”, in Soft Tissue Tumors, InTech, 2011.PDF icon Book.Chapter-Copy.Sent_.to_.InTech-(21.07.2011).pdf (732.07 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, 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, 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. Rajan, Van Audekerke, J., Verhoye, M., Van Der Linden, A., and Sijbers, J., “Denoising magnitude MRI using an adaptive NLML method”, ESMRMB Congress 28th Annual Scientific Meeting. Leipzig, Germay, p. 383, 2011.
J. Rajan, Van Audekerke, J., Verhoye, M., Van Der Linden, A., and Sijbers, J., “Denoising magnitude MRI using an adaptive NLML method”, ESMRMB Congress 28th Annual Scientific Meeting. Leipzig, Germay, p. 383, 2011.
J. Rajan, Van Audekerke, J., Verhoye, M., Van Der Linden, A., and Sijbers, J., “Denoising magnitude MRI using an adaptive NLML method”, ESMRMB Congress 28th Annual Scientific Meeting. Leipzig, Germay, p. 383, 2011.
R. Delgado Y Palacios, Veraart, J., Vanhoutte, G., Schell, H., Verhoye, M., Kahle, P., Sijbers, J., and Van Der Linden, A., “Diffusion kurtosis abnormalities in pre-symptomatic (alpha)-synycleunopathy mouse model”, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.
R. Delgado Y Palacios, Veraart, J., Vanhoutte, G., Schell, H., Verhoye, M., Kahle, P., Sijbers, J., and Van Der Linden, A., “Diffusion kurtosis abnormalities in pre-symptomatic (alpha)-synycleunopathy mouse model”, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.
R. Delgado Y Palacios, Veraart, J., Vanhoutte, G., Schell, H., Verhoye, M., Kahle, P., Sijbers, J., and Van Der Linden, A., “Diffusion kurtosis abnormalities in pre-symptomatic (alpha)-synycleunopathy mouse model”, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.
R. Delgado Y Palacios, Veraart, J., Vanhoutte, G., Schell, H., Verhoye, M., Kahle, P., Sijbers, J., and Van Der Linden, A., “Diffusion kurtosis abnormalities in pre-symptomatic (alpha)-synycleunopathy mouse model”, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.
W. Van Hecke, Leemans, A., Sage, C. A., Veraart, J., Sijbers, J., and Sunaert, S., “The effect of template selection on diffusion tensor voxel based analysis results”, NeuroImage, vol. 55, pp. 566-573, 2011.
W. Van Hecke, Leemans, A., Sage, C. A., Veraart, J., Sijbers, J., and Sunaert, S., “The effect of template selection on diffusion tensor voxel based analysis results”, NeuroImage, vol. 55, pp. 566-573, 2011.
W. Van Aarle, Crombecq, K., Couckuyt, I., Batenburg, K. J., and Sijbers, J., “Efficient parameter estimation for discrete tomography using adaptive modeling”, in 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2011.PDF icon Download full paper (853.19 KB)
J. Rajan, Van Audekerke, J., Veraart, J., Verhoye, M., and Sijbers, J., “An extended NLML method for denoising non-central chi distributed data - application to parallel MRI”, Fourth Annual Meeting of the Benelux ISMRM chapter. p. 41, 2011.
J. Rajan, Van Audekerke, J., Veraart, J., Verhoye, M., and Sijbers, J., “An extended NLML method for denoising non-central chi distributed data - application to parallel MRI”, Fourth Annual Meeting of the Benelux ISMRM chapter. p. 41, 2011.
J. Rajan, Van Audekerke, J., Veraart, J., Verhoye, M., and Sijbers, J., “An extended NLML method for denoising non-central chi distributed data - application to parallel MRI”, Fourth Annual Meeting of the Benelux ISMRM chapter. p. 41, 2011.
T. Dhollander, Veraart, J., Van Hecke, W., Maes, F., Sunaert, S., Sijbers, J., and Suetens, P., “Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space”, in MICCAI 2011: Medical Image Computing and Computer-Assisted Intervention, 2011, pp. 166-173.

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