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2007
J. Sijbers, Poot, D. H. J., den Dekker, A. J., and Pintjens, W., Automatic estimation of the noise variance from the histogram of a magnetic resonance image, Physics in Medicine and Biology, vol. 52, pp. 1335-1348, 2007.PDF icon Download paper (297.18 KB)
K. J. Batenburg and Sijbers, J., Automatic multiple threshold scheme for segmentation of tomograms, in Proceedings of SPIE Medical Imaging: Physics of Medical Imaging, San Diego, CA, USA, 2007.PDF icon Download full paper (630.82 KB)
J. Juntu, Sijbers, J., and Van Dyck, D., Classification of soft tissue tumors in MRI images using kernel PCA and regularized least square classifier, in Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Anaheim, CA, USA, 2007, pp. 362–367.
Z. Mai, Huysmans, T., and Sijbers, J., Colon Visualization Using Cylindrical Parameterization, Lecture Notes in Computer Science, vol. 4678, pp. 607-615, 2007.PDF icon Full text (1.44 MB)
W. Van Hecke, D'Agostino, E., Leemans, A., Parizel, P. M., Maes, F., and Sijbers, J., On the construction of a healthy brain inter-subject diffusion tensor image and tractography atlas, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 146.
K. J. Batenburg and Sijbers, J., DART: a fast heuristic algebraic reconstruction algorithm for discrete tomography, in Proceedings of the IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, USA, 2007.PDF icon Download paper (415.32 KB)
A. Smolders, Data-driven methods for the analysis of time-resolved mental chronometry fMRI data sets, 2007.PDF icon Download thesis (3.79 MB)
W. Van Hecke, Leemans, A., De Brabander, N., Laridon, A., Claeys, K., Ceulemans, B., Van Goethem, J., Parizel, P. M., and Sijbers, J., Diffusion Tensor Fiber Tracking Reveals Probst Bundles in Patients with Agenesis of the Corpus Callosum, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 135.
W. Van Hecke, Leemans, A., Sijbers, J., Parizel, P. M., and Van Goethem, J., Diffusion Tensor Tractoghraphy Reaveals Spinal Cord Alterations in Patients with Multiple Sclerosis, in 32nd Congress of the Europea Society of NeuroRadiolog, 2007, p. 129.
A. Smolders, Martino, D. F., Staeren, N., Scheunders, P., Sijbers, J., Goebel, R., and Formisano, E., Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis, Magnetic Resonance Imaging, vol. 25, pp. 860-868, 2007.PDF icon Download paper (658.36 KB)
B. Peersman, Vanhoenacker, F. M., Brys, P., Van Dyck, P., Stam, M., Verstraete, K. L., Bloem, J. L., Heyman, S., Herendael, V. B., Sijbers, J., and De Schepper, A. M., Imaging features of Ewing’s sarcoma, in International Skeletal Society 2007, 34th annual ISS Radiology Refresher Course, Budapest, 2007, p. 22.
P. M. Parizel, Van Rompaey, V., Loock, V. R., Van Hecke, W., Van Goethem, J., Leemans, A., and Sijbers, J., Influence of User-Defined Parameters on Diffusion Tensor Tractography of the Corticospinal Tract, The Neuroradiology Journal, pp. 139-147, 2007.
A. Leemans, Van Hecke, W., Lebel, C., Walker, L., Sijbers, J., and Beaulieu, C., A model based approach for voxelwise analysis of multi-subject diffusion tensor data, in Joint Annual Meeting ISMRM-ESMRMB, Berlin, 2007.
W. Van Hecke, Leemans, A., D'Agostino, E., De Backer, S., Vandervliet, E., Parizel, P. M., and Sijbers, J., Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information, IEEE Transactions on Medical Imaging, vol. 26, pp. 1598-1612, 2007.PDF icon Download paper (1.85 MB)
W. Van Hecke, Leemans, A., Vandervliet, E., Parizel, P. M., and Sijbers, J., An optimized tensor orientation strategy for non-rigid alignment of DT-MRI data, in Joint Annual Meeting ISMRM-ESMRMB, Berlin, 2007.
S. Bals, Batenburg, K. J., Verbeeck, J., Sijbers, J., and Van Tendeloo, G., Quantitative three-dimensional reconstruction of catalyst particles for bamboo-like carbon nanotubes, Nano Letters, vol. 7, pp. 3669-3674, 2007.
R. Pinho, Sijbers, J., and Huysmans, T., Segmentation of The Human Trachea Using Deformable Statistical Models of Tubular Shapes, in Proceedings of Advanced Concepts for Intelligent Vision Systems, 2007, vol. 4678, pp. 531-542.PDF icon Download paper (570.18 KB)
N. Van Camp, Huysmans, T., Verhoye, M., Galjart, N., Sijbers, J., and Van Der Linden, A., Statistical shape analysis on 3D MRI of the ventricular system of the Cyln2/Rsn double knock-out mice, in Proceedings of the International Society for Magnetic Resonance in Medicine, Berlin, Germany, 2007, p. 1869.PDF icon Full text (138.11 KB)
V. Van Meir, Huysmans, T., Sijbers, J., and Van Der Linden, A., Statistical shape and position analysis on 3D structural MRI data of a motor region involved in vocal behavior of songbirds, in Proceedings of the International Society for Magnetic Resonance in Medicine, Berlin, Germany, 2007, p. 431.PDF icon Full text (122.28 KB)
2006
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Pintjens, W., Automatic estimation of the noise variance from the histogram of a magnetic resonance image, in IEEE/EBMS Benelux Symposium proceedings, 2006, pp. 135-138.
K. J. Batenburg, Sijbers, J., and Van de Casteele, E., Automatic multiple threshold scheme for segmentation of tomograms, in Proceedings of the Biomedical Engineering IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, vol. 2, pp. 143-146.
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.
W. Pintjens, Sijbers, J., Verhoye, M., Van Audekerke, J., and Van Der Linden, A., A Combined Correction Scheme For EPI Distortions at 7 Tesla, in Belgian Day on Biomedical Engineering - IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, pp. 147-150.
W. Van Hecke, Leemans, A., Sijbers, J., Parizel, P. M., and Van Goethem, J., A comparison of diffusion tensor analysis methods for detecting age-related changes of the normal appearing spinal cord, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 293-294.

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