Publications

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C. M. W. Tax, Jeurissen, B., Vos, S. B., Viergever, M. A., and Leemans, A., Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data., NeuroImage, vol. 86, pp. 67-80, 2014.
C. M. W. Tax, Jeurissen, B., Viergever, M. A., and Leemans, A., Robust fiber response function estimation for deconvolution based diffusion MRI methods, International Society for Magnetic Resonance in Medicine, vol. 21. Salt Lake City, Utah, p. 3149, 2013.
C. M. W. Tax, Jeurissen, B., Viergever, M. A., and Leemans, A., Robust fiber response function estimation for deconvolution based diffusion MRI methods, in ISMRM Benelux Chapter, Rotterdam, The Netherlands, 2013, vol. 5, p. 55.
G. Thoonen, Nys, B., Haegen, V. Y., Roy, D. G., and Scheunders, P., Automatic forensic analysis of automotive paints using optical microscopy, Forensic Science International, vol. 259, pp. 210-220, 2016.
G. Thoonen, Mahmood, Z., Peeters, S., and Scheunders, P., Multisource classification of color and hyperspectral images using color attribute profiles and composite decision fusion, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 5, pp. 510 - 521, 2012.
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, Contextual classification of hyperspectral remote sensing images - Application in vegetation monitoring, University of Antwerp, Antwerp, Belgium, 2012.PDF icon phdthesis_guythoonen_cover.pdf (17.15 MB)
G. Thoonen, Hufkens, K., Vanden Borre, J., Spanhove, T., and Scheunders, P., Accuracy assessment of contextual classification results for vegetation mapping, International Journal of Applied Earth Observation and Geoinformation, vol. 15, pp. 7 - 15, 2012.
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. Thoonen, Spanhove, T., Vanden Borre, J., and Scheunders, P., Classification of heathland vegetation in a hierarchical contextual framework, International Journal of Remote Sensing, vol. 34, no. 1, pp. 96 - 111, 2013.
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, 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. Tisson, Reconstructie van Transversaal Getrunceerde Cone Beam Projecties in Micro-Tomografie, University of Antwerp, Antwerp, 2006.
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.
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.
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.
L. Tits, Heylen, R., Somers, B., Scheunders, P., and Coppin, P., A geometric unmixing concept for the selection of optimal binary endmember combinations, IEEE Geoscience and Remote Sensing letters, vol. 12, pp. 82-86, 2015.
J. - D. Tournier, Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C. - H., and Connelly, A., MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation., Neuroimage, p. 116137, 2019.
I. J. Tsang, Tsang, I. R., De Boeck, B., and Van Dyck, D., Scaling and critical probability for cluster size and lattice animals diversity on randomly occupied square lattices, Journal of Physics A: Mathematical and General, vol. 33, pp. 2739-2754, 2000.
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.
I. R. Tsang, Pattern Recognition and Complex Systems, University of Antwerp, Antwerp, 2000.
I. R. Tsang and Tsang, I. J., Cluster size diversity, percolation, and complex systems, Physical Review E, vol. 60, pp. 2684-2698, 1999.
I. J. Tsang, Pattern Recognition, Neighborhood Codes, and Lattice Animals, University of Antwerp, Antwerp, 2000.
I. J. Tsang, Tsang, I. R., and Van Dyck, D., Image processing using neighbourhood coding, Pattern Recognition Letters, vol. 20, pp. 1279-1286, 1999.

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