Publications

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Conference Paper
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.
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.
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.
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.
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.
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. 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.
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)
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.
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.
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.
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.
J. Van Houtte, Stanković, K., Booth, B. G., Danckaers, F., Bertrand, V., Verstreken, F., Sijbers, J., and Huysmans, T., An Articulating Statistical Shape Model of the Human Hand, in Advances in Human Factors in Simulation and Modeling (AHFE 2018), Cham, 2019, vol. 780, pp. 433–445.
S. Verwulgen, Lacko, D., De Bruyne, G., Danckaers, F., Christis, N., Sijbers, J., and Huysmans, T., Anthropometrics 2.0: Enrichment of Classical Anthropometry through Multidisciplinary Collaboration, in 6th International Conference on Engineering & Product Design Education., 2014.

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