Publications

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Author [ Type(Desc)] Year
Conference Paper
J. Sijbers, Scheunders, P., Van Dyck, D., and Raman, E., “The use of two NMR realizations for determining and improving of the image SNR”, in Proceedings of the Joint Meeting of the Belgian and Dutch Societies for Electron Microscopy, Arnhem, Papendal, The Netherlands, 1994, p. 65.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., Sijbers, J., and Andreoni, G., “Using 3D Statistical Shape Models for Designing Smart Clothing”, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 18–27.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., “Using diffusion tensor imaging (DTI) to assess the neuronal plasticity in the brain of a songbird”, in 4th Annual Symposium – Young Belgian Magnetic Resonance Scientists, Brussels, Belgium, 2005.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., “Using diffusion tensor imaging (DTI) to assess the neuronal plasticity and neuroconnectivity in the brain of a songbird”, in Molecular & Cellular Basis of Neuroconnectivity, Leuven, Belgium, 2006.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., “Using diffusion tensor imaging (DTI) to assess the neuronal plasticity in the brain of a songbird”, in XXeme Congres du Groupement d'Etudes de Resonance Magnetique, Blankenberge, Belgium, 2006.
C. C. Hung, Coleman, T., and Scheunders, P., “Using genetic differential competitive learning for unsupervised training in multispectral image classification systems”, in Proceedings IEEE International Conference on Systems, Man, and Cybernetics , San Diego, California, October 11-14, 1998, pp. 4482-4485.
J. Ganseman, Scheunders, P., and D'haes, W., “Using MusicXML in real-time applications”, in Proceedings of the 34th Euromicro conference on Software Engineering and Advanced Applications, Parma, Italy, September 3-5, 2008, pp. 29-30.
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.
J. Ganseman, Scheunders, P., and D'haes, W., “Using XML-formatted scores in real-time applications”, in 10-th International Society for Music Information Retrieval Conference, pp. 663-668, Kobe, Japan, October 26-30, 2009, pp. 663-668.
J. Ganseman, Scheunders, P., and D'haes, W., “Using XQUERY on MusicXML databases for musicological analysis”, in ISMIR 2008, 9-th International Conference on Music Information Retrieval, Philadephia, USA, 14-18 september, 2008, pp. 433-438.
T. Roelandts, Batenburg, K. J., and Sijbers, J., “Visualizing the Segmentation Error of a Tomogram using the Residual Projection Error”, in The Second International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting), Salt Lake City, UT, USA, 2012, pp. 293-296.
G. Van de Wouwer, Scheunders, P., Van Dyck, D., Wuyts, F. L., and Van de Heyning, P. H., “Voice classification by wavelet transforms and fuzzy interpreted LVQ networks”, in Proceedings International Symposium on Soft Computing and Intelligent Industrial Automation, Reading, UK, March 26-28, 1996, pp. 171-177.
J. Sijbers, Van Der Linden, A., Scheunders, P., Van Audekerke, J., Van Dyck, D., and Raman, E., “Volume quantization of the mouse cerebellum by semi-automatic 3D segmentation of MR images”, in Proceedings of SPIE Medical Imaging, Newport Beach CA, USA, 1996, vol. 2710, pp. 553-560.
P. Kempeneers, De Backer, S., Debruyn, W., and Scheunders, P., “Wavelet Based Feature Extraction for Hyperspectral Vegetation Monitoring”, in SPIE International Symposium on Remote Sensing, Image and Signal Processing for Remote Sensing IX, Barcelona, Spain, 2003, pp. 297-305.
J. Driesen and Scheunders, P., “Wavelet based Filter Array Demosaicking”, in Proc. ICIP2004, IEEE International Conference on Image Processing, 24-27 october, Singapore, 2004, pp. 3311-3314.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., “Wavelet Based Hyperspectral Data Analysis for Vegetation Stress Classification”, in Proc. of Advanced Concepts for Intelligent Vision Systems, Brussels, Belgium, 2004, pp. 387-391.
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.
J. Driesen and Scheunders, P., “Wavelet based segmentation of multivalued images”, in SPIE Optics East, 23-26 October, Boston, Massachusetts USA, 2005, vol. 6001, pp. 13-22.
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.
A. Pizurica, Huysmans, B., Scheunders, P., and Philips, W., “Wavelet domain denoising of multispectral remote sensing imagery adapted to the local spatial and spectral context”, in IEEE International Geoscience and Remote Sensing Symp. IGARSS 2005, Seoul, Korea, 25-29 July, Seoul, Korea, 2005, vol. 6, pp. 4260-4263.
A. Pizurica, Philips, W., and Scheunders, P., “Wavelet domain denoising of single-band and multi-band images adapted to the probability of the presence of features of interes”, in SPIE Wavelets XI, San Diego, California, USA, 31 July – 4 Aug, 2005, vol. 5914, pp. 508-521.
P. Scheunders, “Wavelet representations of multivalued images”, in Wavelet Applications in Industrial Processing, part of the International Symposium on Photonics Technologies for Robotics, Automation, and Manufacturing , 27-31 October 2003, Providence, RI USA, 2003, pp. 203-215.
P. Scheunders, “Wavelet thresholding of multispectral images”, in Proc. ACIVS03, Andvanced Concepts for intelligent vision systems , Ghent, 2003, pp. 255-259.
G. Verdoolaege, Lambrechts, M., and Scheunders, P., “Wavelet-Based colour texture retrieval using the KL Divergence between bivariate Generalized Gaussian Models”, in IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11, 2009, pp. 265-268.

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