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P. Scheunders, “Multivalued image segmentation based on first fundamental form”, in Proc. ICIAP, International Conference on Image Analysis and Processing, Palermo, Italy, 2001, pp. 185-190.
P. Scheunders and De Backer, S., “Multispectral image fusion and merging using multiscale fundamental forms”, in Proc. ICIP01, IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001, pp. 902-905.
P. Scheunders and Sijbers, J., “Multiscale anisotropic filtering of color images”, in Proceedings of the IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001, vol. 3, pp. 170-173.
P. Scheunders, “Genetic optimal quantization of gray-level and color images”, in Proceedings ACCV'95, Second Asian Conference on Computer Vision, Singapore, 5-8 december, 1995, pp. 94-98.
P. Scheunders, De Backer, S., Pizurica, A., Huysmans, B., and Philips, W., “Bayesian Wavelet-based Denoising of Multicomponent Images”, in Proceedings Wavelet Applications in Industrial Processing V, part of SPIE Optics East, Boston, MA, 9-12 september, Vol. 6763-OK (12 pages), 2007.
P. Scheunders, Van Hove, H., and Livens, S., “On the local optimality of image quantizers”, in Proc. ICPR'96 IEEE Internat. Conference on Pattern Recognition,, D, pp. 664-668, Vienna, august 25-30, 1996, pp. 664-668.
P. Scheunders and Sijbers, J., “Multiscale watershed segmentation of multivalued images”, in Proc. ICPR02, International Conference on Pattern Recognition, Quebec, Canada, 2002, vol. 3, pp. 855-858.
P. Scheunders, “Bayesian techniques for multi/hyperspectral image processing”, in 4th IEEE Conference on Industrial Electronics and Applications, Xi’an, China, May 25-27, 2009, pp. 1-10.
P. Scheunders, “An orthogonal wavelet representation of multivalued images”, in Proc. ACIVS02, Andvanced Concepts for intelligent vision systems, Ghent, 2002.
P. Scheunders, “Wavelet-based enhancement and denoising using multiscale structure tensor”, in Proceedings of the IEEE International Conference on Image Processing, Rochester NY, 2002, pp. 569-572.
P. Scheunders, “A genetic approach towards optimal color image quantization”, in Proc. ICIP'96, IEEE Internat. Conference on Image Processing , III, Lausanne, september 16-19, 1996, pp. 1031-1034.
P. Scheunders, “Wavelet thresholding of multispectral images”, in Proc. ACIVS03, Andvanced Concepts for intelligent vision systems , Ghent, 2003, pp. 255-259.
P. Scheunders, “Denoising of multispectral images using wavelet thresholding”, in Proc. SPIE conference on Image and Signal Processing for Remote Sensing IX, part of the International Symposium on Remote Sensing, Barcelona, Spain, 2003, pp. 28-35.
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 and De Backer, S., “Joint quantization and error-diffusion of color images using competitive learning”, in Proc. IEEE Conference on Image Processing , Santa Barbara, 26-29 october, 1997, pp. 811-814.
P. Scheunders and Driesen, J., “Least squares interband denoising of color and multispectral images”, in Proc. ICIP2004, IEEE International Conference on Image Processing, 24-27 october, Singapore, 2004, pp. 985-988.
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.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., and Sijbers, J., “Moving Statistical Body Shape Models Using Blender”, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 28–38.
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.
J. Sanctorum, De Beenhouwer, J., and Sijbers, J., “X-ray Phase-contrast Simulations of Fibrous Phantoms using GATE”, in 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Sydney, Australia, 2018.PDF icon Download poster (884.48 KB)
J. G. Sanctorum, De Samber, B., Paramonov, P., De Beenhouwer, J., and Sijbers, J., “GEO-ASTRA: a toolbox for non-conventional XCT scanning and reconstruction”, in 15th Conference on Industrial Computed Tomography (iCT), 10 - 13 February 2026, Linz, Austria (iCT 2026), e-Journal of Nondestructive Testing, 2026, vol. 31 (3).
J. G. Sanctorum, Bekaert, N., Witteveen, W., Potters, G., Sijbers, J., and De Beenhouwer, J., “Towards X-ray-based inspection of corrosion in maritime infrastructure”, in 15th Conference on Industrial Computed Tomography (iCT), 10 - 13 February 2026, Linz, Austria (iCT 2026) Special Issue of e-Journal of Nondestructive Testing (eJNDT) ISSN 1435-4934 , 2026, vol. 31(3).
J. Sanctorum, Six, N., Sijbers, J., and De Beenhouwer, J., “Augmenting a conventional X-ray scanner with edge illumination based phase contrast imaging: how to design the gratings?”, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, San Diego, USA, 2022, p. 1224218.PDF icon Download paper (303.24 KB)
J. Sanctorum, Nguyen, V., Sijbers, J., Van Wassenbergh, S., and Dirckx, J. J. J., “Projection angle adapted distortion correction in high-speed image-intensifier based tomography”, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.PDF icon Download paper (818.64 KB)

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