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Conference Paper
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.
V. Nguyen, De Beenhouwer, J., Bazrafkan, S., Hoang, A. - T., Van Wassenbergh, S., and Sijbers, J., “BeadNet: a network for automated spherical marker detection in radiographs for geometry calibration”, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020, pp. 518-521.PDF icon Download paper (2.16 MB)
J. Juntu, Sijbers, J., Van Dyck, D., and Gielen, J. L., “Bias Field Correction for MRI Images”, in Proceedings of the 4th International Conference on Computer Recognition Systems (CORES05), Rydzyna Castle, Poland, 2005, pp. 543-551.
E. Van de Casteele, Van Dyck, D., Sijbers, J., and Raman, E., “A bimodal energy model for correcting beam hardening artefacts in X-ray tomography”, in IEEE 29th Annual Northeast Bioengineering Conference2003 IEEE 29th Annual Proceedings of Bioengineering Conference, Newark, NJ, USA, 2003, pp. 57 - 58.
B. Rasti and Koirala, B., “Blind Nonlinear Unmixing For Intimate Mixtures Using Hapke Model And CNN”, in Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022, pp. 1-5.PDF icon whispers_2022_hapkecnn.pdf (1.93 MB)
E. Van de Casteele, Batenburg, K. J., Salmon, P., and Sijbers, J., “Bone segmentation using discrete tomography”, in Micro-CT User Meeting, 2011, pp. 178-183.PDF icon Download paper (107.53 KB)
B. Rasti, Koirala, B., Scheunders, P., Ghamisi, P., and Gloaguen, R., “BOOSTING HYPERSPECTRAL IMAGE UNMIXING USING DENOISING: FOUR SCENARIOS”, in IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021.
A. J. den Dekker, Sijbers, J., Bos, R., and Smolders, A., “Brain activation detection from functional magnetic resonance imaging data using likelihood based hypothesis tests”, in Abstracts of the 24th Benelux Meeting on Systems and Control, Houffalize, Belgium, 2005.
A. J. den Dekker and Sijbers, J., “Brain activation detection from magnitude fMRI data using a generalized likelihood ratio test”, in Abstracts of the 23rd Benelux Meeting on Systems and Control, Helvoirt, The Netherlands, 2004.
A. Presenti, Sijbers, J., den Dekker, A. J., and De Beenhouwer, J., “CAD-based defect inspection with optimal view angle selection based on polychromatic X-ray projection images”, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019, pp. 1-5.PDF icon ict2019_full_paper_55.pdf (216.2 KB)
D. Iuso, Nazemi, E., Six, N., De Samber, B., De Beenhouwer, J., and Sijbers, J., “CAD-based scatter compensation for polychromatic reconstruction of additive manufactured parts”, in IEEE ICIP, 2021, pp. 2948-2952.
R. Garimella, Peeters, T., Beyers, K., Truijen, S., Huysmans, T., and Verwulgen, S., “Capturing Joint Angles of the Off-Site Human Body”, in IEEE Sensors 2018, United States, 2018, pp. 1–4.
E. Vandervliet, Nagels, G., Heinecke, A., Van Hecke, W., Leemans, A., Sijbers, J., and Parizel, P. M., “On the cause and mechanisms of the negative BOLD response in fMRI”, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, p. 308.
M. Verhoye, Michiels, I., Sijbers, J., Eelen, J., Peeters, R. R., Van Audekerke, J., Dhooghe, R., De Deyn, P. P., and Van Der Linden, A., “Changes during pentetrazol-induced epilepsy in rat recorded by simultaneous EEG/MRI at 7T”, in SPIE Medical Imaging, San Diego, USA, 2000, vol. 3978, pp. 485-493.
R. F. Kooy, Reyniers, E., Dhooghe, R., De Deyn, P. P., Van Der Linden, A., Verhoye, M., Sijbers, J., Oostra, B. A., and Willems, P. J., “Characterization of the Fragile X knockout mouse”, in Abstracts of the second annual meeting of the Belgian society of neuroscience, Brussels, Belgium, 1997.
P. Kempeneers, De Backer, S., Zarco-Tejada, P. J., Delalieux, S., Sepulcre-Cantó, G., Morales, F., Sagardoy, R., van Aardt, J., Coppin, P., and Scheunders, P., “Chlorophyll retrieval from canopy reflectance over orchards using hyperspectral techniques”, in 2nd International Symposium on Recent Advances in Quantitative Remote Sensing, 25-29 September 2006, Torrent (Valencia), Spain, 2006.
S. De Backer, Kempeneers, P., Debruyn, W., and Scheunders, P., “Classification of Dune Vegetation from Remotely Sensed Hyperspectral Images”, in Image Analysis and Recognition Proc. of International Conference on Image Analysis and Recognition, Porto, Portugal, 2004, pp. 497-503.
V. Andrejchenko, Heylen, R., Scheunders, P., Philips, W., and Liao, W., “Classification of hyperspectral images with very small training size using sparse unmixing”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 2016.
D. Meersman, Scheunders, P., and Van Dyck, D., “Classification of microcalcifications using texture-based features”, in Digital Mammography, 1998, pp. 233-236.
V. De Witte, Thoonen, G., Scheunders, P., Pizurica, A., and Philips, W., “Classification of multi-source images using color mathematical morphological profiles”, in Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International, Vancouver, BC, Canada, 2011, pp. 3919 - 3922.
J. Juntu, Sijbers, J., and Van Dyck, D., “Classification of soft tissue tumors in MRI images using kernel PCA and regularized least square classifier”, in Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Anaheim, CA, USA, 2007, pp. 362–367.
P. Kempeneers, De Backer, S., Deronde, B., Bertels, L., Debruyn, W., and Scheunders, P., “Classifying hyperspectral airborne imagery for vegetation survey along coastlines”, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Anchorage, USA, 20-24 september, Anchorage, USA, 2004, vol. 2, pp. 1475-1478.
P. Mishra, Asaari, M. Shahrimie, Mertens, S., Wuyts, N., Dhondt, S., and Scheunders, P., “Close range hyperspectral imaging for plant phenotyping”, in Hyperspectral Imaging and Applications Conference, Coventry, UK, 2016.
A. Smolders, Scheunders, P., Sijbers, J., Van Meir, V., Verhoye, M., and Van Der Linden, A., “Clustering of hemodynamic response functions from fMRI-data of a starling”, in 13th European Microscopy Congress, Antwerp, Belgium, 2004.
M. Ljubenović, Bazrafkan, S., De Beenhouwer, J., and Sijbers, J., “CNN-based Deblurring of Terahertz Images”, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2020, vol. 4, pp. 323-330.PDF icon Download paper (16.31 MB)

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