Publications

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Editor of Conference Proceedings
J. Blanc-Talon, Bourenanne, S., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2008, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 5259. 2008.
J. Blanc-Talon, Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2009, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 5807. Springer, 2009.
J. Blanc-Talon, Bone, D., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2010, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 6474 & 6475. Springer, 2010.
J. Blanc-Talon, Philips, W., Popescu, D., Kleihorst, R., and Scheunders, P., “ACIVS 2011, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 6915. Springer, 2011.
J. Blanc-Talon, Philips, W., Popescu, D., Scheunders, P., and Zemcik, P., “ACIVS 2012, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 7517. Springer, 2012.
J. Blanc-Talon, Kazinski, A., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2013, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 8129. 2013.
S. Battiato, Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2015, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 9386. 2015.
C. Distante, Blanc-Talon, J., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2016, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 10016. 2016.
J. Blanc-Talon, Penne, R., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2017, Advanced Concepts for Intelligent Vision Systems”, Lecture Notes in Computer Science, vol. 10617. 2017.
J. Blanc-Talon, Helbert, D., Philips, W., Popescu, D., and Scheunders, P., “ACIVS 2018, Advanced Concepts for Intelligent Vision Systems ”, Lecture Notes in Computer Science, vol. 11182. 2018.
Journal Article
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.
W. Van den Broek, Verbeeck, J., De Backer, S., Scheunders, P., and Schryvers, D., “Acquisition of the EELS data cube by tomographic reconstruction”, Ultramicroscopy, vol. 106, pp. 269-276, 2006.
W. Guo, Hung, C. - C., Scheunders, P., Kuo, B. - C., Lan, Y., and Ma, Z., “Advanced techniques for computational and information sciences”, Mathematical Problems in Engineering, vol. 2016, 2016.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., “Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform”, Computers and Electronics in Agriculture, vol. 162, pp. 749-758, 2019.PDF icon shahrimie_2019.pdf (3.12 MB)
B. Weyn, Van de Wouwer, G., Van Daele, A., Scheunders, P., Van Dyck, D., Van Marck, E., and Jacob, W., “Automated breast tumour diagnosis and grading based on wavelet chromatin texture description”, Cytometry, vol. 33, pp. 32-40, 1998.
G. Van de Wouwer, Weyn, B., Scheunders, P., Jacob, W., Van Marck, E., and Van Dyck, D., “Automated chromatin-texture based diagnosis of carcinoma nuclei”, Journal of Microscopy, vol. 197, pp. 25-35, 2000.
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.
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.
A. Karami, Heylen, R., and Scheunders, P., “Band-specific Shearlet-based Hyperspectral Image Noise Reduction”, IEEE Transaction Geosciences and Remote Sensing , vol. 53, no. 9, 2015.
Y. Zhang, Duijster, A., and Scheunders, P., “A Bayesian Restoration Approach for Hyperspectral Images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 9, pp. 3453-3462, 2012.
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.
R. Heylen and Scheunders, P., “Calculation of geodesic distances in non-linear mixing models: demonstration on the generalized bilinear model”, IEEE Geoscience and Remote Sensing letters, vol. 9, no. 4, pp. 644-648, 2012.
S. Livens, Scheunders, P., Van de Wouwer, G., Van Dyck, D., Smets, H., Winkelmans, J., and Bogaerts, W., “Classification of corrosion images by wavelet signatures and LVQ networks”, Lecture Notes in Computer Science, vol. 970, pp. 538-543, 1995.
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.
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., “Close-range hyperspectral image analysis for the early detection of plant stress responses in individual plants in a high-throughput phenotyping platform”, ISPRS Journal of Photogrammetry and Remote Sensing , vol. 138, pp. 121-138, 2018.

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