Paul Scheunders

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B. De Boeck, Scheunders, P., and Van Dyck, D., “From inductive inference to the fundamental equations of measuerement”, in Proc. First International Conference on Complex Systems, 2000, pp. 115-122.
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S. Yu, Scheunders, P., and De Backer, S., “Genetic Feature selection combined with composite fuzzy nearest neighbor classifers for high-dimensional remote sensing data”, in Proc. IEEE Intern. Conf. on Systems, Man & Cybernetics, October 8-11, Nashville,TN, 2000, pp. 1912-1916.
S. Yu, De Backer, S., and Scheunders, P., “Genetic Feature Selection Combined with Fuzzy K-NN for Hyperspectral Satellite Imagery”, in Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, 2000, pp. 281-288.
S. Yu, De Backer, S., and Scheunders, P., “Genetic feature selection combined with fuzzy kNN for hyperspectral satellite imagery”, in Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2000, pp. 702-704.
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P. Scheunders, “Multiscale Edge Representation Applied to Image Fusion”, in Proc. Wavelet Applications in Signal and Image Processing VIII, 2000, pp. 894-901.
P. Scheunders, “Multispectral image fusion using local mapping techniques”, in Proc. ICPR2000, International Conference on Pattern Recognition, Barcelona, Spain, september 3-7, 2000, pp. 311-314.
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B. Weyn, Tjalam, W., Van de Wouwer, G., Van Daele, A., Scheunders, P., Jacob, W., Van Marck, E., and Van Dyck, D., “Validation of nuclear texture density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma”, Analytical and Quantitative Cytology and Histology, vol. 22, pp. 373-382, 2000.
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G. Van de Wouwer and Scheunders, P., “Wavelet-based texture classification”, Recent Research in the Development of Pattern Recognition, vol. 1, pp. 77-87, 2000.
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S. De Backer and Scheunders, P., “A competitive elliptical clustering algorithm”, Pattern Recognition Letters, vol. 20, pp. 1141-1147, 1999.
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B. Weyn, Van de Wouwer, G., Samir, G. K., Van Daele, A., Scheunders, P., Van Marck, E., and Jacob, W., “Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analysis”, Cytometry, vol. 35, pp. 23-29, 1999.
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P. Scheunders and De Backer, S., “High-dimensional clustering using frequency sensitive competitive learning”, Pattern Recognition, vol. 32, pp. 193-202, 1999.
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G. Van de Wouwer, Scheunders, P., and Van Dyck, D., “Statistical texture characterization from discrete wavelet representations”, IEEE Transactions on Image Processing, vol. 8, pp. 592-598, 1999.
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S. De Backer and Scheunders, P., “Texture segmentation by frequency-sensitive elliptical competitive learning”, in Proc. ICIAP99, International Conference on Image Analysis and Processing , Venice, Italy, september 27-29, 1999, pp. 64-69.
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B. Weyn, Van de Wouwer, G., Koprowski, M., Van Daele, A., Dhaene, K., Scheunders, P., Jacob, W., and Van Marck, E., “Value of morphometry, texture analysis, densitometry and histometry in the differential diagnosis and prognosis of malignant mesothelioma”, Journal of Pathology, vol. 4, pp. 581-589, 1999.
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G. Van de Wouwer, Scheunders, P., Livens, S., and Van Dyck, D., “Wavelet correlation signatures for color texture characterization”, pattern Recognition, vol. 32, pp. 443-451, 1999.
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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.
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D. Meersman, Scheunders, P., and Van Dyck, D., “Classification of microcalcifications using texture-based features”, in Digital Mammography, 1998, pp. 233-236.
D. Meersman, Scheunders, P., and Van Dyck, D., “Detection of microcalcifications using non-linear filtering”, in Proc. EUSIPCO'98, European Signal Processing Conference, 1998, pp. 2465-2468.
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G. Wolf and Scheunders, P., “Evaluation of the swimming activity of Daphnia magna by image analysis after administration of sublethal Cadmium concentrations”, Comparative Biochemistry and Physiology A, vol. 120, pp. 99-105, 1998.
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C. C. Hung, Coleman, T., and Scheunders, P., “The genetic algorithm approach and K-means clustering: their role in unsupervised training in image classification”, in Proc. IASTED International Conf. On Computer Graphics and Imaging , Halifax, Canada, june 1-3, 1998, pp. 103-106.
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S. Livens, “Image Analysis for Material Characterisation”, University of Antwerp, Antwerp, 1998.
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P. Scheunders, “Joint quantization and error-diffusion of color images using competitive learning”, Journal of the IEE Proceedings, Vision, Image and Signal Processing, vol. 14, pp. 137-140, 1998.
J. Sijbers, den Dekker, A. J., Scheunders, P., and Van Dyck, D., “Maximum Likelihood estimation of Rician distribution parameters”, IEEE Transactions on Medical Imaging, vol. 17, pp. 357-361, 1998.PDF icon Download paper (106.26 KB)
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S. De Backer, Naud, A., and Scheunders, P., “Non-linear Dimensionality Reduction Techniques for Unsupervised Feature Extraction”, Pattern Recognition Letters, vol. 19, pp. 711-720, 1998.
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P. Scheunders, De Backer, S., and Naud, A., “Non-linear mapping for feature extraction”, Lecture Notes in Computer Science, vol. 1451, pp. 823-830, 1998.

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