Publications

Export 1291 results:
Author [ Type(Asc)] Year
Conference Paper
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.
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.
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)
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, 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.
Y. Zhang, De Backer, S., and Scheunders, P., Bayesian fusion of multispectral and hyperspectral image in wavelet domain, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008, Boston, United States, 6-11 July, 2008, pp. 69-72.
Z. Mahmood, Thoonen, G., and Scheunders, P., Automatic threshold selection for morphological attribute profiles, in IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, 2012, pp. 4946-4949.
E. Bettens, Scheunders, P., Sijbers, J., Van Dyck, D., and Moens, L., Automatic segmentation and modeling of two-dimensional electrophoresis gels, in Proceedings of IEEE International Conference on Image Processing, Lausanne, Switserland, 1996, vol. 2, pp. 665-668.
K. J. Batenburg, Sijbers, J., and Van de Casteele, E., Automatic multiple threshold scheme for segmentation of tomograms, in Proceedings of the Biomedical Engineering IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, vol. 2, pp. 143-146.
K. J. Batenburg and Sijbers, J., Automatic multiple threshold scheme for segmentation of tomograms, in Proceedings of SPIE Medical Imaging: Physics of Medical Imaging, San Diego, CA, USA, 2007.PDF icon Download full paper (630.82 KB)
K. J. Batenburg and Sijbers, J., Automatic local thresholding of tomographic reconstructions based on the projection data, in SPIE Medical Imaging, San Diego, CA, USA, 2008, vol. 6913, p. 69132.PDF icon Download full paper (857.39 KB)
J. Cant, Behiels, G., and Sijbers, J., Automatic geometric calibration of chest tomosynthesis using data consistency conditions, in The 4th International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, Utah, USA, 2016, pp. 161-164.PDF icon Download paper (1.9 MB)
F. Danckaers, Scataglini, S., Haelterman, R., Van Tiggelen, D., Huysmans, T., and Sijbers, J., Automatic Generation of Statistical Shape Models in Motion, in Advances in Human Factors in Simulation and Modeling (AHFE 2018), Cham, 2019, vol. 780, pp. 170–178.
D. H. J. Poot, Sijbers, J., den Dekker, A. J., and Pintjens, W., Automatic estimation of the noise variance from the histogram of a magnetic resonance image, in IEEE/EBMS Benelux Symposium proceedings, 2006, pp. 135-138.
W. D'haes and Rodet, X., Automatic Estimation of Control Parameters: An Instance-Based Learning Approach, in International Computer Music Conference (ICMC), Havana, Cuba, 2001.
J. Sijbers, Michiels, I., Van Audekerke, J., Verhoye, M., and Van Der Linden, A., Automatic EEG signal restoration during simultaneous EEG/MR acquisitions, in SPIE Medical Imaging: Image Processing, San Diego, California, USA, 2000, vol. 3979, pp. 1482-1491.
J. Sijbers, Vanrumste, B., Van Hoey, G., Boon, P., Verhoye, M., Van Der Linden, A., and Van Dyck, D., Automatic detection of EEG electrode markers on 3D MR data, in SPIE Medical Imaging: Image Processing, San Diego CA, USA, 2000, vol. 3979, pp. 1476-1481.
J. Sijbers, Michiels, I., Verhoye, M., Van Audekerke, J., Van Der Linden, A., and Van Dyck, D., Automatic, adaptive filter for MRI related artefacts in simultaneously recorded EEG/MRI data, in Third Meeting Belgian Society for Neuroscience, 1999.
J. Osstyn, Danckaers, F., Van Haver, A., Oramas, J., Vanhees, M., and Sijbers, J., Automated virtual reduction of displaced distal radius fractures, in IEEE International Symposium on Biomedical Imaging, Cartagena, Colombia, 2023, pp. 1-4.
T. Nath, G.Liu,, Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., Automated Social behaviour Recognition At Low Resolution, in 22nd IEEE - International Conference of Pattern Recognition (ICPR), 2014.
N. Tanmay, Liu, G., Hassan, B., Weyn, B., De Backer, S., and Scheunders, P., Automated Social behaviour Recognition At Low Resolution, in ICPR14, International Conference on Pattern Recognition, Stockholm, Sweden, 2014.
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)
W. J. Palenstijn, Batenburg, K. J., and Sijbers, J., The ASTRA Tomography Toolbox, in 13th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2013, 2013, vol. 4, pp. 1139-1145.PDF icon cmmse2013.pdf (174.19 KB)
R. Pinho, Tournoy, K. G., Gosselin, R., and Sijbers, J., Assessment of Tracheal Stenosis Using Active Shape Models of Healthy Tracheas: A Surface Registration Study, in Proceedings of 2nd International Workshop on Pulmonary Image Analysis, 2009, pp. 125-136.
G. Thoonen, Vanden Borre, J., De Backer, S., and Scheunders, P., Assessing the quality of heathland vegetation by classification of hyperspectral data using spatial information, in Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009, Cape Town, South Africa, 2009, vol. 4, p. IV-330 - IV-333.

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