Publications

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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)
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, 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.
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)
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.
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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.
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.
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.
X. Tao, Koirala, B., Rasti, B., Plaza, A., and Scheunders, P., “A Spectral-Spatial Attention Network for Hyperspectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-15, 2025.PDF icon assun.pdf (2.01 MB)
X. Tao, Koirala, B., Plaza, A., and Scheunders, P., “A New Dual-Feature Fusion Network for Enhanced Hyperspectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing, pp. 1-1, 2024.PDF icon Download paper (2.13 MB)
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.
G. Thoonen, Nys, B., Haegen, V. Y., Roy, D. G., and Scheunders, P., “Automatic forensic analysis of automotive paints using optical microscopy”, Forensic Science International, vol. 259, pp. 210-220, 2016.

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