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G. Tang, Ahmadi, S. - A., Jillings, S., Jeurissen, B., Tomilovskaya, E., Nosikova, I., Ryabova, A., Pechenkova, E., Petrovichev, V., Rukavishnikov, I., Velten, T., Gripshi, M., Van Ombergen, A., Wuyts, F. L., and Eulenburg, Pzu, “MReye-Seg: development and validation of an automated MRI pipeline for standardised ocular and orbital morphometrics”, Eye, vol. 39, no. 18, pp. 3294 - 3305, 2025.
G. Tang, Patil, K. R., Hoffstaedter, F., More, S., Eickhoff, S. B., Jillings, S., Jeurissen, B., Tomilovskaya, E., Gerlach, D., Nosikova, I., Riabova, A., Pechenkova, E., Petrovichev, V., Rukavishnikov, I., Makovskaya, L., Van Ombergen, A., Wuyts, F. L., and Eulenburg, Pzu, “Longitudinal brain-age predictions comprising long-duration spaceflight missions”, npj Microgravity, vol. 12, no. 1, 2026.
G. Tang, Jillings, S., Jeurissen, B., Tomilovskaya, E., Nosikova, I., Riabova, A., Pechenkova, E. V., Petrovichev, V., Rukavishnikov, I., Sunaert, S., Parizel, P. M., Makovskaya, L., Sinitsyn, V., Sijbers, J., Annen, J., Laureys, S. S. L., Van Ombergen, A., Ahmadi, S. - A., Wuyts, F. L., and Eulenburg, Pzu, “Physiological cerebrospinal fluid interactions between brain and eye structures are altered after long-duration spaceflight”, Experimental Physiology, 2026.
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.
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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, 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, “Quantitative assessment of 3D foot shape using statistical shape analysis”, 2022.PDF icon Download thesis (7.16 MB)
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, 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)
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.
R. E. Smith, Christiaens, D., Jeurissen, B., Pietsch, M., Vaughan, D. N., Jackson, G., and Tournier, J. D., “On false positive control in Fixel-Based Analysis”, Proc Intl Soc Mag Reson Med, vol. 29. 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.
C. Smekens, Van Dyck, P., Janssens, T., Sijbers, J., and Jeurissen, B., “Data-driven characterization of knee structures using non-negative matrix factorization of quantitative UTE Spiral VIBE MRI”, Proc. Intl. Soc. Mag. Reson. Med. 31. 2022.
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., 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., 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, 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, Van Dyck, P., Fuchs, P. S., Sijbers, J., Janssens, T., and Jeurissen, B., “Data-driven characterization of knee structures using non-negative 1 matrix factorization of 3D multi-echo UTE MRI”, NMR in Biomedicine, In Press.

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