Export 1291 results:
Author [ Type(Asc)] Year
Filters: Sparse-unmixing-using-deep-convolutional-networks is   [Clear All Filters]
Conference Abstract
J. Fatermans, den Dekker, A. J., Gauquelin, N., Verbeeck, J., and Van Aert, S., Bayesian model selection for atom column detection from ABF-ADF STEM images, Virtual Early Career EMC 2020 (online), Copenhagen, Denmark. 2020.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Lobato, I., and Van Aert, S., Bayesian analysis of noisy scanning transmission electron microscopy images for single atom detection, SCANDEM 2018, Technical University of Denmark, Kgs. Lyngby, Denmark. p. 95, 2018.
Z. Zahiri, Ribbens, B., Vanlanduit, S., and Scheunders, P., Automatic Detection of Surface Damages on Steel Structures using Near Infrared Hyperspectral Imaging, 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS). 2018.
J. Fatermans, den Dekker, A. J., and Van Aert, S., Atom detection from electron microscopy images, RBSM 2019, Louvain-la-Neuve, Belgium. p. 15, 2019.
J. Fatermans, den Dekker, A. J., O'Leary, C. M., Nellist, P. D., and Van Aert, S., Atom column detection from STEM images using the maximum a posteriori probability rule, MC 2019, Berlin, Germany. 2019.
B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., Assessing the implications of complex fiber configurations for DTI metrics in real data sets, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3584, 2012.
B. Jeurissen, Sijbers, J., and Tournier, J. - D., Assessing inter-subject variability of white matter response functions used for constrained spherical deconvolution, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2834, 2015.PDF icon Download abstract (780.16 KB)
D. Lacko, Huysmans, T., Claeskens, A., Verwulgen, S., Aerts, P., Sijbers, J., and De Bruyne, G., An Anthropometric Shape Model for the Design of Sports Helmets, European Conference on Protective Clothing (ECPC). 2014.
T. Roine, Jeurissen, B., Leemans, A., Philips, W., and Sijbers, J., Analysis and modeling of isotropic partial volume effects in diffusion MRI, Frontiers in Neuroinformatics, vol. 7. 2013.
B. G. Booth, Keijsers, N. L. W., Huysmans, T., and Sijbers, J., Advancing Analysis Techniques for Plantar Pressure Videos via Open-Access Contributions, IEEE International Symposium on Biomedical Imaging (ISBI'19) . 2019.PDF icon Download abstract (86 KB)
J. Merckx, van Lith, B., Sijbers, J., and De Beenhouwer, J., Adaptive triangular mesh for phase contrast imaging, 5th international Conference on Tomography of Materials & Structures, 27the June - 1ste July, Grenoble, France. 2022.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Accurate reconstruction of porous samples in CT, International Conference on Industrial Computed Tomography (ICT). 2014.
G. Ramos-Llordén, Beirinckx, Q., den Dekker, A. J., and Sijbers, J., Accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 26th Annual Meeting. Paris, France, p. 5664, 2018.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., Accelerated multi-shot diffusion weighted imaging with joint estimation of diffusion and phase parameters, Magn Reson Mater Phy, vol. 34. pp. S57-S58, 2021.
C. Smekens, Vanhevel, F., Beirinckx, Q., Janssens, T., and Van Dyck, P., Accelerated Dual-contrast Three-dimensional Knee Magnetic Resonance Imaging Using Super-resolution Reconstructed Deep Learning-enhanced Two-dimensional Dixon Turbo Spin-echo Imaging, Seminars in Musculoskeletal Radiology, vol. 27, no. S01. Thieme Medical Publishers, Inc., pp. 1-24, 2023.
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Absolute CBF quantification in multi-time point ASL: the T1 issue, 10th Annual Meeting of ISMRM Benelux, January 26th 2018, Antwerp, Belgium. 2018.
G. Van Eyndhoven, Batenburg, K. J., Kazantsev, D., Van Nieuwenhove, V., Lee, P. D., Dobson, K. J., and Sijbers, J., A 4D CT reconstruction algorithm for fast liquid flow imaging, Applied Inverse Problems Conference, Helsinki. 2015.
A. Van Tongel, Toussaint, A., De Wilde, L., and Huysmans, T., 3D evaluation of clavicle fractures, SECED-ESSE Congress of the european society for surgery of the shoulder and the elbow, Milano, Italy, September 16-19. 2015.
S. Van Aert, De Backer, A., De wael, A., Fatermans, J., Friedrich, T., Lobato, I., O'Leary, C. M., Varambhia, A., Altantzis, T., Jones, L., den Dekker, A. J., Nellist, P. D., and Bals, S., 3D Atomic Scale Quantification of Nanostructures and their Dynamics Using Model-based STEM, Microscopy & Microanalysis 2020 (online), Milwaukee, United States. 2020.
S. Hosseinnejad, Bosch, E. G. T., Kohr, H., Lazić, I., Zharinov, V., Franken, E., Sijbers, J., and De Beenhouwer, J., 3D atomic resolution tomography from iDPC-STEM images using multiple atom model prior, Microscopy Conference. 2021.PDF icon Download abstract (534.35 KB)
Book Chapter
P. Scheunders, Duijster, A., and Zhang, Y., Wavelet-based Multi/Hyperspectral Image Restoration and Fusion, in Signal and Image Processing for Remote Sensing, C. H. Chen, Ed. Taylor and Francis, 2012, pp. 505-523.
P. Scheunders, A wavelet representation of multispectral images; in: Frontiers of Remote Sensing Information Processing, C. H. Chen, Ed. World Scientific, 2003, pp. 197-224.
D. Van Dyck, Bettens, E., Sijbers, J., den Dekker, A. J., van den Bos, A., Op de Beeck, M., Jansen, J., and Zandbergen, H., Resolving atoms: what do we have? what do we want?, in Institute of Physics Conference Series, vol. 153, J. M. Rodenburg, Ed. Cambridge, UK: Institute of Physics Ltd, 1997, pp. 95-100.
J. Sijbers and Van Der Linden, A., Magnetic Resonance Imaging, In: Encyclopedia of Optical Engineering, Marcel Dekker, 2003, pp. 1237-1258.
J. S. Jorgensen and Sijbers, J., Just enough physics, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.