Publications

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2006
J. Driesen and Scheunders, P., Wavelet based segmentation of multi-component images, in IEEE BENELUX/DSP Valley Signal Processing Symposium (SPS-DARTS) March 28-29, Antwerp, Belgium, 2006, pp. 151-154.
P. Scheunders and De Backer, S., Wavelet Denoising of multicomponent images using a Gaussian Scale Mixture model, in ICPR’06, International Conference on Pattern Recognition, Hong Kong, august 20-24, 2006, vol. 3, pp. 754-757.
P. Scheunders and De Backer, S., Wavelet Denoising of multicomponent images using a noise-free image, in ICIP’06, IEEE International Conference on Image Processing, Atlanta, Georgia, October 8-11, 2006, pp. 2619-2622.
N. Van Camp, Blockx, I., Camon, L., de Vera, N., Verhoye, M., Leemans, A., Martinez, E., Sijbers, J., Planas, A., and Van Der Linden, A., White and grey matters changes in a rat model for Huntington's disease discerned with in vivo DTI, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 210-211.
2005
J. Blanc-Talon, Philips, W., Popescu, D., and Scheunders, P., ACIVS 2005, Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, vol. 3708. Springer, pp. 1-725, 2005.
A. J. den Dekker and Sijbers, J., Advanced Image Processing in Magnetic Resonance Imaging, in Series: Signal Processing and Communications, vol. 27, L. Landini, Ed. Marcel Dekker, 2005, pp. 85-143.
A. Leemans, Sijbers, J., De Backer, S., Vandervliet, E., and Parizel, P. M., Affine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information, Lecture Notes in Computer Science, vol. 3708, pp. 523-530, 2005.PDF icon Download full paper (1.26 MB)
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., A Band Selection Technique for Spectral Classification, IEEE Geoscience and Remote Sensing Letters, vol. 2, pp. 319-323, 2005.
J. Juntu, Sijbers, J., Van Dyck, D., and Gielen, J. L., Bias Field Correction for MRI Images, in Proceedings of the 4th International Conference on Computer Recognition Systems (CORES05), Rydzyna Castle, Poland, 2005, pp. 543-551.
A. J. den Dekker, Sijbers, J., Bos, R., and Smolders, A., Brain activation detection from functional magnetic resonance imaging data using likelihood based hypothesis tests, in Abstracts of the 24th Benelux Meeting on Systems and Control, Houffalize, Belgium, 2005.
P. M. Parizel, Van Goethem, J., van den Hauwe, L., Salgado, R., Vandervliet, E., and Leemans, A., Characterization of brain tumors, NeuroRadiology, vol. 47, pp. 80-83, 2005.
S. Delputte, Leemans, A., Fieremans, E., De Deene, Y., D'Asseler, Y., Lemahieu, I., Achten, E., Sijbers, J., and Van de Walle, R., Density Regularized Fiber Tractography of the Brain White Matter using Diffusion Tensor MRI, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 1309.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., DTI parameters: Fractional Anisotropy, Radial and Axial Diffusivity reveal seasonal neuroplasticity in the adult songbird brain, in 4th annual meeting of the Society of Molecular Imaging, Keulen, Germany, 2005.
A. Leemans, De Backer, S., Sijbers, J., Vandervliet, E., and Parizel, P. M., End point clustering for diffusion tensor white matter fiber bundle tractography, in 22th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Basle, Switzerland, 2005, pp. 129-130.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., Entropy-based coregistration for DT-MR images using an efficient tensor shape preserving reorientation strategy, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 227.
J. Sijbers and den Dekker, A. J., Generalized likelihood Ratio tests for complex fMRI data: a simulation study, IEEE Transactions on Medical Imaging, vol. 24, pp. 604-611, 2005.PDF icon Download paper (377.11 KB)
P. Kempeneers, De Backer, S., Debruyn, W., and Scheunders, P., Generic Wavelet-Based Hyperspectral Classification Applied to Vegetation Stress Detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 43, pp. 610-614, 2005.
A. Leemans, Sijbers, J., and Parizel, P. M., A Graphical Toolbox for Exploratory Diffusion Tensor Imaging and Fiber Tractography, in 14th Annual Meeting - Section for Magnetic Resonance Technologists, Miami, USA, 2005.
P. Kempeneers, De Backer, S., Debruyn, W., Provoost, S., and Scheunders, P., Hyperspectral classification applied to the Belgian coastline, in SPIE Remote Sensing, Bruges, Belgium, 19-22 september, 2005, vol. 5982.
A. J. den Dekker and Sijbers, J., Implications of the Rician distribution for fMRI generalized likelihood ratio tests, Magnetic Resonance Imaging, vol. 23, pp. 953-959, 2005.PDF icon Download paper (1.36 MB)
N. Van Camp, Van Laere, K., Vreys, R., Verhoye, M., Lauwers, E., Beque, D., Maes, F., Verbruggen, A., Debyser, Z., Mortelmans, L., Sijbers, J., Nuyts, J., Baekelandt, V., and Van Der Linden, A., In vivo multimodal (MRI, SPECT) imaging of the 6-OHDA rat model for Parkinson’s disease correlated with behavior and histology, in Belgian Society of Neuroscience, 2005.
N. Van Camp, Van Laere, K., Vreys, R., Verhoye, M., Lauwers, E., Beque, D., Maes, F., Verbruggen, A., Debyser, Z., Mortelmans, L., Sijbers, J., Nuyts, J., Baekelandt, V., and Van Der Linden, A., In vivo multimodal (MRI,SPECT) imaging of the 6-OHDA rat model for Parkinson’s disease correlated with behavior and histology, in XXIInd International Symposium on Cerebral Blood Flow, Metabolism and Function and VIIth International Conference of Quantification of Brain Function with PET, Vrije Universiteit, Amsterdam, the Netherlands, 2005.
G. De Groof, Verhoye, M., Van Meir, V., Tindemans, I., Leemans, A., and Van Der Linden, A., In Vivo Visualization of the Neuroanatomy and Brain Connectivity of Starling Brain Through Diffusion Tensor Imaging, in 6th Bi-Annual Meeting – Belgian Society for Neuroscience, Brussels, Belgium, 2005.
J. Sijbers, den Dekker, A. J., and Bos, R., A likelihood ratio test for functional MRI data analysis to account for colored noise, Lecture Notes in Computer Science, vol. 3708, pp. 538-546, 2005.PDF icon Download full paper (483.15 KB)
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Mathematical Framework for Simulating Diffusion Tensor MR Neural Fiber Bundles, Magnetic Resonance in Medicine, vol. 53, pp. 944-953, 2005.PDF icon Download full paper (1.55 MB)

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