Export 1022 results:
Author [ Type(Desc)] Year
Conference Paper
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.
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.
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.
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)
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)
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)
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.
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.
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.
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, 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.
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.
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)
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.
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.
Z. Zahiri, Laefer, D., and Gowen, A., Classification of hardened cement and lime mortar using short-wave infrared spectrometry data, in 11th international conference on Structural Analysis of Historical Constructions, 2018.
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.