Publications

Export 1290 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 
T
G. Thoonen, Mahmood, Z., Peeters, S., and Scheunders, P., Multisource classification of color and hyperspectral images using color attribute profiles and composite decision fusion, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol. 5, pp. 510 - 521, 2012.
C. M. W. Tax, Jeurissen, B., Vos, S. B., Viergever, M. A., and Leemans, A., Recursive calibration of the fiber response function for spherical deconvolution diffusion ODF sharpening, ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure. Podstrana, Croatia, 2013.
C. M. W. Tax, Jeurissen, B., Vos, S. B., Viergever, M. A., and Leemans, A., Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data., NeuroImage, vol. 86, pp. 67-80, 2014.
C. M. W. Tax, Jeurissen, B., Viergever, M. A., and Leemans, A., Robust fiber response function estimation for deconvolution based diffusion MRI methods, International Society for Magnetic Resonance in Medicine, vol. 21. Salt Lake City, Utah, p. 3149, 2013.
C. M. W. Tax, Jeurissen, B., Viergever, M. A., and Leemans, A., Robust fiber response function estimation for deconvolution based diffusion MRI methods, ISMRM Benelux Chapter, vol. 5. Rotterdam, The Netherlands, p. 55, 2013.
N. Tanmay, Liu, G., Hassan, B., Weyn, B., De Backer, S., and Scheunders, P., Automated Social behaviour Recognition At Low Resolution, in ICPR14, International Conference on Pattern Recognition, Stockholm, Sweden, 2014.
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.
S
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.
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)
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.
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.
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.
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.
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, Data-driven methods for the analysis of time-resolved mental chronometry fMRI data sets, 2007.PDF icon Download thesis (3.79 MB)
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)
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.
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.

Pages