Publications

Export 1338 results:
[ Author(Desc)] Type Year
Filters: Novel-grating-designs-cone-beam-edge-illumination-x-ray-phase-contrast-imaging is   [Clear All Filters]
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 
S
N. Six, Renders, J., Sijbers, J., and De Beenhouwer, J., “Gauss-Newton-Krylov for Reconstruction of Polychromatic X-ray CT Images”, IEEE Transactions on Computational Imaging, vol. 7, pp. 1304-1313, 2021.
N. Six, De Beenhouwer, J., Van Nieuwenhove, V., Vanroose, W., and Sijbers, J., “Joint reconstruction and flat-field estimation using support estimation”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.PDF icon Download paper (1.53 MB)
N. Six, De Beenhouwer, J., and Sijbers, J., “poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT”, Optics Express, vol. 27, no. 23, pp. 33427-33435, 2019.PDF icon Download paper (997.08 KB)
N. Six, Renders, J., De Beenhouwer, J., and Sijbers, J., “Joint reconstruction of attenuation, refraction and dark field X-ray phase contrasts using split Barzilai-Borwein steps”, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122420O.
C. Smekens, Beirinckx, Q., Bosmans, F., Vanhevel, F., Snoeckx, A., Sijbers, J., Jeurissen, B., Janssens, T., and Van Dyck, P., “Deep Learning-Enhanced Accelerated 2D TSE and 3D Super-Resolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment”, Investigative Radiology, vol. 60, no. 3, pp. 220-233, 2025.
C. Smekens, Beirinckx, Q., Vanhevel, F., Van Dyck, P., den Dekker, A. J., Sijbers, J., Janssens, T., and Jeurissen, B., “High-resolution T2* mapping of the knee based on UTE Spiral VIBE MRI”, Magn Reson Mater Phy, vol. 34. pp. S53-S54, 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.
C. Smekens, Vanhevel, F., Jeurissen, B., Van Dyck, P., Sijbers, J., and Janssens, T., “Short T2* quantification of knee structures based on accelerated UTE Spiral VIBE MRI with SPIRiT reconstruction”, 12th Annual Meeting of the ISMRM Benelux Chapter, Arnhem, The Netherlands. 2020.
C. Smekens, Vanhevel, F., Jeurissen, B., Van Dyck, P., Sijbers, J., and Janssens, T., “Short T2* quantification of knee structures based on accelerated UTE Spiral VIBE MRI with SPIRiT reconstruction”, Proc Intl Soc Mag Reson Med 28. p. 2687, 2020.
C. Smekens, Beirinckx, Q., Vanhevel, F., Van Dyck, P., den Dekker, A. J., Sijbers, J., Janssens, T., and Jeurissen, B., “Super-resolution T2* mapping of the knee using UTE Spiral VIBE MRI”, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 29th Annual Meeting, An Online Experience. p. 3920, 2021.
B. de Smit, McClure, M., Palenstijn, W. J., Sparling, I. E., and Wagon, S., “Through the Looking-Glass, and What the Quadratic Camera Found There”, The Mathematical Intelligencer, vol. 34, no. 3, pp. 30 - 34, 2012.
A. Smolders, “Data-driven methods for the analysis of time-resolved mental chronometry fMRI data sets”, 2007.PDF icon Download thesis (3.79 MB)
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.
A. Smolders, Martino, D. F., Staeren, N., Scheunders, P., Sijbers, J., Goebel, R., and Formisano, E., “Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis”, Magnetic Resonance Imaging, vol. 25, pp. 860-868, 2007.PDF icon Download paper (658.36 KB)
R. M. Soleimanzadeh, Karami, A., and Scheunders, P., “Fusion of hyperspectral and Lidar images using non-subsampled shearlet transform”, in IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
J. Soons, Danckaers, F., Keustermans, W., Huysmans, T., Sijbers, J., Casselman, J. W., and Dirckx, J. J. J., “3D morphometric analysis of the human incudomallear complex using clinical cone-beam CT”, Hearing research, vol. 340, pp. 79-88, 2016.
J. Soons, Danckaers, F., Huysmans, T., Sijbers, J., Casselamn, J. W., and Dirckx, J. J. J., “Statistical shape modeling of the incudomalleolar complex using micro-CT and clinical cone-beam CT”, MEMRO: 7th International Symposium on Middle Ear Mechanics in Research and Otology. Aalborg, Denmark, 2015.
K. Stanković, “Quantitative assessment of 3D foot shape using statistical shape analysis”, 2022.PDF icon Download thesis (7.16 MB)
K. Stanković, Huysmans, T., Danckaers, F., Sijbers, J., and Booth, B. G., “Subject-specific identification of three dimensional foot shape deviations using statistical shape analysis”, Expert Systems With Applications, vol. 151, no. 113372, pp. 1-11, 2020.
K. Stanković, Booth, B. G., Danckaers, F., Burg, F., Vermaelen, P., Duerinck, S., Sijbers, J., and Huysmans, T., “Three-dimensional quantitative analysis of healthy foot shape: a proof of concept study”, Journal of Foot and Ankle Research, vol. 11, no. 8, pp. 1-13, 2018.PDF icon Download paper (2.24 MB)
K. Stanković, Danckaers, F., Booth, B. G., Burg, F., Duerinck, S., Sijbers, J., and Huysmans, T., “Foot Abnormality Mapping using Statistical Shape Modelling”, in 7th International Conference and Exhibition on 3D Body Scanning Technologies (3DBST), 2016, Lugano, Switzerland, 30 November - 1 December., pp. 70-79.
S. Sterckx, Coppin, P., De Backer, S., Debruyn, W., Kempeneers, P., Meuleman, K., Nackaerts, K., Reusen, I., and Scheunders, P., “Information extraction techniques for monitoring of stress symptoms in orchards”, in Proc. Earsel 2003, Imaging Spectroscopy workshop Oberpfaffenhofen, 2003, pp. 278-283.
H. Struyfs, Van Hecke, W., Veraart, J., Sijbers, J., Slaets, S., De Belder, M., Wuyts, L., Peters, B., Sleegers, K., Robberecht, C., Van Broeckhoven, C., De Belder, F., Parizel, P. M., and Engelborghs, S., “Diffusion Kurtosis Imaging: a possible MRI biomarker for AD diagnosis?”, Journal of Alzheimer’s Disease, vol. 48, pp. 937-948, 2015.PDF icon Download paper (374.95 KB)
P. V. Sudeep, Palanisamy, P., Kesavadas, C., Sijbers, J., den Dekker, A. J., and Rajan, J., “A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps”, Signal Image and Video Processing, vol. 11, no. 5, pp. 913-920, 2017.
T
F. Tajdari, Huysmans, T., Yang, Y., and Song, Y., “Feature preserving non-rigid iterative weighted closest point and semi-curvature registration”, IEEE Transactions on Image Processing, 2022.

Pages