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R. M. Soleimanzadeh, Karami, A., and Scheunders, P., Fusion of hyperspectral and Lidar images using non-subsampled shearlet transform, in IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
K. Stanković, Danckaers, F., Booth, B. G., Burg, F., Duerinck, S., Sijbers, J., and Huysmans, T., Foot Abnormality Mapping using Statistical Shape Modelling, in 7th International Conference and Exhibition on 3D Body Scanning Technologies (3DBST), 2016, Lugano, Switzerland, 30 November - 1 December., pp. 70-79.
S. Sterckx, Coppin, P., De Backer, S., Debruyn, W., Kempeneers, P., Meuleman, K., Nackaerts, K., Reusen, I., and Scheunders, P., Information extraction techniques for monitoring of stress symptoms in orchards, in Proc. Earsel 2003, Imaging Spectroscopy workshop Oberpfaffenhofen, 2003, pp. 278-283.
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N. Tanmay, Liu, G., Hassan, B., Weyn, B., De Backer, S., and Scheunders, P., Automated Social behaviour Recognition At Low Resolution, in ICPR14, International Conference on Pattern Recognition, Stockholm, Sweden, 2014.
A. -yhuwertMurcia Tapias, Giraldo, D., and Romero, E., Synthesizing fractional anisotropy maps from T1-weighted magnetic resonance images using a simplified generative adversarial network, in Medical Imaging 2024: Clinical and Biomedical Imaging, 2024, vol. 12930, p. 129302P.
G. Thoonen, De Backer, S., Provoost, S., Kempeneers, P., and Scheunders, P., Spatial Classification of Hyperspectral Data of Dune Vegetation along the Belgian Coast, in Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, Boston, MA, USA, 2008, vol. 3, p. III-483 - III-486.
G. Thoonen, Vanden Borre, J., De Backer, S., and Scheunders, P., Assessing the quality of heathland vegetation by classification of hyperspectral data using spatial information, in Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009, Cape Town, South Africa, 2009, vol. 4, p. IV-330 - IV-333.
G. Thoonen, Spanhove, T., Haest, B., Vanden Borre, J., and Scheunders, P., Habitat mapping and quality assessment of heathlands using a modified kernel-based reclassification technique, in Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, Honolulu, HI, USA, 2010, pp. 2707 - 2710.
G. Thoonen, Hufkens, K., Vanden Borre, J., and Scheunders, P., Using patch metrics as validation for contextual classification of heathland vegetation., in Proceedings of GEOBIA 2010, the Geographic Object-Based Image Analysis Conference, 2010, vol. XXXVIII-4/C7.
G. Tisson, Scheunders, P., and Van Dyck, D., 3D region of interest X-ray CT for geometric magnification from multiresolution acquisitions, in Proc. ISBI04, IEEE International Symposium on Biomedical Imaging, 15-18 april 2004, Arlington, VA, 2004, pp. 567-570.
G. Tisson, Scheunders, P., and Van Dyck, D., ROI Cone-Beam CT on a Circular Orbit for Geometric Magnification Using Reprojection, in Proc. IEEE Medical Imaging Conference, Rome, 16-22 october, 2004.
L. Tits, Somers, B., Heylen, R., Scheunders, P., and Coppin, P., Improving the efficiency of MESMA through geometric unmixing principles, in SPIE Remote Sensing, Drseden, Germany, 23-26 September , 2013, vol. 8892.
I. R. Tsang, Tsang, I. J., Scheunders, P., and Van Dyck, D., Pattern Recognition using neighborhood coding, in Proc. CVPRIP'98, Intern. Workshop on Computer Vision, Pattern Recognition and Image Processing , North Carolina, october 23-28, 1998, pp. 250-253.
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W. Van Aarle, Batenburg, K. J., and Sijbers, J., Threshold Selection for Segmentation of Dense Objects in Tomograms, in International Symposium on Visual Computing, Berlin Heidelberg, 2008, vol. 5358, pp. 700-709.
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)
W. Van Aarle, Ghysels, P., Sijbers, J., and Vanroose, W., Memory access optimization for iterative tomography on many-core architectures, in The 12th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2013, pp. 364-367.PDF icon fully3d_wvaarle.pdf (2.8 MB)
W. Van Aarle, Cant, J., De Beenhouwer, J., and Sijbers, J., Discrete tomographic reconstruction from deliberately motion blurred X-ray projections, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016, pp. 1-6.PDF icon Download paper (444.66 KB)
W. Van Aarle, Van Gompel, G., Batenburg, K. J., Van de Casteele, E., and Sijbers, J., A 3-dimensional discrete tomography approach for superresolution micro-CT images: application to foams, in The first international conference on image formation in X-ray computed tomography, 2010, pp. 45-48.PDF icon Download full paper (816.87 KB)
J. Van Audekerke, Verhoye, M., Sijbers, J., DeVoogd, T. J., Smulders, T., Newman, S. W., and Van Der Linden, A., Imaging birds .. in a bird cage: In vivo MRI microscopy of the canary brain at 7T, in Proceedings of International Society for Magnetic Resonance in Medicine: Sixth Annual Meeting, 1998, vol. 2, pp. 162-163.
J. Van Audekerke, Sijbers, J., Michiels, I., Verhoye, M., Peeters, R. R., and Van Der Linden, A., Novel design of an RF-antenna with integrated EEG electrodes for combined EEG and fMRI in animals, in 16th annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 1999.
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.
N. Van Camp, Verhoye, M., Leemans, A., Postnov, A., Beque, D., Van den Eynden, J., Nuyts, J., Lauwers, E., Verbruggen, A., Debyser, Z., Baekelandt, V., De Clerck, N., Sijbers, J., Van Laere, K., and Van Der Linden, A., In vivo multimodal imaging of a rat model for Parkinson’s disease: high resolution micro-MRI, micro-SPECT and micro-CT, in 21th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Copenhagen, Denmark, 2004, pp. 22-23.
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)
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.

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