Publications

Export 1293 results:
[ Author(Asc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
C
Q. Collier, den Dekker, A. J., Jeurissen, B., and Sijbers, J., “Robust DKI parameter estimation in case of CSF partial volume effects”, ISMRM 24th annual meeting, Singapore. 2016.
Q. Collier, Veraart, J., Jeurissen, B., Vanhevel, F., Pullens, P., Parizel, P. M., den Dekker, A. J., and Sijbers, J., “Diffusion kurtosis imaging with free water elimination: a Bayesian estimation approach”, Magnetic Resonance in Medicine, vol. 80, no. 2, pp. 802-813, 2018.PDF icon Download paper (1.93 MB)
Q. Collier, Veraart, J., den Dekker, A. J., Jeurissen, B., and Sijbers, J., “CSF partial volume modeling in diffusion kurtosis imaging: a comparative parameter estimation study”, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
Q. Collier, den Dekker, A. J., Jeurissen, B., and Sijbers, J., “A robust framework for combined estimation of DKI and CSF partial volume fraction parameters”, 8th annual meeting of the ISMRM Benelux chapter, Eindhoven, Netherlands. 2016.
Q. Collier, “Robust estimation of diffusion tensor and diffusion kurtosis imaging parameters”, University of Antwerp, Antwerp, 2018.
Q. Collier, Veraart, J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Iterative Reweighted Linear Least Squares for Accurate, Fast, and Robust Estimation of Diffusion Magnetic Resonance Parameters”, Magnetic Resonance in Medicine, vol. 73, no. 6, pp. 2174–2184, 2015.
Q. Collier, Veraart, J., Jeurissen, B., den Dekker, A. J., and Sijbers, J., “Theoretical study of the free water elimination model”, Proc. Intl. Soc. Mag. Reson. Med. 23, vol. 15. p. 2757, 2015.
J. Christopher, Lumbeeck, L. - P., Paramonov, P., De Beenhouwer, J., and Sijbers, J., “Discrete Terahertz tomography: a simulation study”, e-Journal of Nondestructive Testing, vol. 27, no. 3, 2022.PDF icon Download paper (345.5 KB)
N. Chabi, Iuso, D., Beuing, O., Preim, B., and Saalfeld, S., “Self-calibration of C-arm imaging system using interventional instruments during an intracranial biplane angiography.”, Int J Comput Assist Radiol Surg, 2022.
T. B. A. de Carvalho, Sibaldo, M. A. A., Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., “Pixel clustering for face recognition”, in 5th Brazilian Conference on Intelligent Systems, Brazil, 2016, pp. 121-126.
T. B. A. de Carvalho, Sibaldo, M. A., Tsang, I. J., Cavalcanti, G. D. C., Sijbers, J., and Tsang, I. R., “IntensityPatches and RegionPatches for Image Recognition”, Applied Soft Computing, vol. 62, pp. 176-186, 2018.
J. Cant and Sijbers, J., “Method and system for correcting geometric misalignment during image reconstruction in chest tomosynthesis”, U.S. Patent EP16173767.12016.
J. Cant, Palenstijn, W. J., Behiels, G., and Sijbers, J., “Tomographic image reconstruction from continuous projections”, in The third international conference on image formation in X-ray computed tomography, Salt Lake City, USA, 2014, pp. 295-298.PDF icon Download paper (2.38 MB)
J. Cant and Sijbers, J., “Computerized Tomographic Image Exposure and Reconstruction Method”, U.S. Patent PCT/EP2015/0599562016.PDF icon Download patent (595.32 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)
J. Cant, Palenstijn, W. J., Behiels, G., and Sijbers, J., “Modeling blurring effects due to continuous gantry rotation: application to region of interest tomography”, Medical Physics, vol. 42, no. 5, pp. 2709-2717, 2015.
J. Cant, “Iterative reconstruction for mobile chest tomosynthesis”, 2017.PDF icon Download thesis (5.77 MB)
J. Cant, Snoeckx, A., Behiels, G., Parizel, P. M., and Sijbers, J., “Can portable tomosynthesis improve the diagnostic value of bedside chest X-ray in the intensive care unit? A proof of concept study”, European Radiology Experimental, vol. 1, no. 20, pp. 1-7, 2017.
J. Cant, Behiels, G., and Sijbers, J., “Continuous Digital Laminography”, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016.PDF icon Download paper (363.74 KB)
F. Calamante, Jeurissen, B., Smith, R. E., Tournier, J. - D., and Connelly, A., “Human In Vivo Myeloarchitecture Using Whole-Brain Diffusion MRI”, ISMRM 23th Annual Meeting. Toronto, Ontario, Canada, p. 1679, 2015.
F. Calamante, Jeurissen, B., Smith, R. E., Tournier, J. - D., and Connelly, A., “The role of whole-brain diffusion MRI as a tool for studying human in vivo cortical segregation based on a measure of neurite density”, Magnetic Resonance in Medicine, vol. 79, no. 5, pp. 2738–2744, 2018.
B
E. Byl, Bladt, P., Lebeer, S., and Kiekens, F., “Importance of pressure plasticity during compression of probiotic tablet formulations”, European Journal of Pharmaceutics and Biopharmaceutics, vol. 145, pp. 7-11, 2019.
D. Burazerovic, Geens, B., Heylen, R., Sterckx, S., and Scheunders, P., “Unmixing for detection and quantification of adjacency effects”, in IEEE IGARSS2012, International Geoscience and Remote Sensing Symposium, Munich, July 22-27, 2012, pp. 3090-3093.
D. Burazerovic, Geens, B., Heylen, R., Sterckx, S., and Scheunders, P., “Detecting the adjacency effect in hyperspectral imagery with spectral unmixing techniques”, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 3, pp. 1070-1078, 2013.
D. Burazerovic, Heylen, R., Raymaekers, D., Knaeps, E., and Scheunders, P., “A spectral-unmixing approach to estimate water-mass concentrations in case-II waters”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, 2014.

Pages