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R. Luo, Liao, W., Zhang, H., Zhang, L., Pi, Y., Scheunders, P., and Philips, W., “Fusion of Hyperspectral and LiDAR Data for Classification of Cloud-Shadow Mixed Remote Sensing Scene”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 8, pp. 3768-3781, 2017.
L. - P. Lumbeeck, Paramonov, P., Sijbers, J., and De Beenhouwer, J., “Efficient iterative reconstruction with beam shape compensation for THz computed tomography”, Applied Optics, vol. 62, no. 17, pp. F31-F40, 2023.PDF icon Download paper (1.81 MB)
P. Lopes, Van Herck, P., Ooms, J., Van Mieghem, N., Wirix-Speetjens, R., Sijbers, J., Vander Sloten, J., and Bosmans, J., “Automated Mitral Valve Assessment for Transcatheter Mitral Valve Replacement (TMVR) Planning”, Frontiers in Bioengineering and Biotechnology, vol. 16, pp. 1-13, 2022.PDF icon Download paper (2.19 MB)
P. Lopes, Van Herck, P., Verhoelst, E., Wirix-Speetjens, R., Sijbers, J., Bosmans, J., and Vander Sloten, J., “Using particle systems for mitral valve segmentation from 3D transoesophageal echocardiography (3D TOE) - a proof of concept”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 11, no. 1, pp. 112-120, 2023.
P. Lo, van Ginneken, B., Reinhardt, J. M., Yavarna, T., de Jong, P. A., Irving, B., Fetita, C., Ortner, M., Pinho, R., Sijbers, J., Feuerstein, M., Fabijańska, A., Bauer, C., Beichel, R., Mendoza, C. S., Wiemker, R., Lee, J., Reeves, A. P., Born, S., Weinheimer, O., van Rikxoort, E. M., Tschirren, J., Mori, K., Odry, B., Naidich, D. P., Hartmann, I., Hoffman, E. A., Prokop, M., Pedersen, J. H., and de Bruijne, M., “Extraction of airways from CT (EXACT'09).”, IEEE Transactions on Medical Imaging, vol. 31, no. 11, pp. 2093-107, 2012.
M. Ljubenović, Zhuang, L., De Beenhouwer, J., and Sijbers, J., “Joint Deblurring and Denoising of THz Time-Domain Images”, IEEE Access, vol. 9, pp. 162-176, 2021.PDF icon Download paper (2.38 MB)
S. Livens, Scheunders, P., Van de Wouwer, G., Van Dyck, D., Smets, H., Winkelmans, J., and Bogaerts, W., “Classification of corrosion images by wavelet signatures and LVQ networks”, Lecture Notes in Computer Science, vol. 970, pp. 538-543, 1995.
S. Livens, Scheunders, P., Van de Wouwer, G., Van Dyck, D., Smets, H., Winkelmans, J., and Bogaerts, W., “A texture analysis approach to corrosion image classification”, Microscopy, Microanalysis, Microstructures, vol. 7, pp. 1-10, 1996.
G. Liu, Nath, T., Guo, Z., Linneweber, G., Claeys, A., Li, J., Bengochea, M., De Backer, S., Weyn, B., Sneyders, M., Nicasy, H., Yu, P., Scheunders, P., and Hassan, B., “A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila”, Plos Computational Biology, vol. 14, no. 8, p. e1006410, 2018.
Y. - T. Ling, Cools, S., Bogdanowicz, J., Fleischmann, C., De Beenhouwer, J., Sijbers, J., and Vandervorst, W., “A Bottom-Up Volume Reconstruction Method for Atom Probe Tomography”, Microscopy and Microanalysis, vol. 28, no. 4, pp. 1-14, 2022.
W. Liao, Pizurica, A., Scheunders, P., Philips, W., and Pi, Y., “Semi-supervised local discriminant analysis for feature extraction in hyperspectral images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 1, pp. 184-198, 2013.
A. Leemans, Sijbers, J., De Backer, S., Vandervliet, E., and Parizel, P. M., “Affine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information”, Lecture Notes in Computer Science, vol. 3708, pp. 523-530, 2005.PDF icon Download full paper (1.26 MB)
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “Mathematical Framework for Simulating Diffusion Tensor MR Neural Fiber Bundles”, Magnetic Resonance in Medicine, vol. 53, pp. 944-953, 2005.PDF icon Download full paper (1.55 MB)
A. Leemans, Sijbers, J., De Backer, S., Vandervliet, E., and Parizel, P. M., “Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data”, Magnetic Resonance in Medicine, vol. 55, pp. 1414-1423, 2006.
D. Lacko, Huysmans, T., Vleugels, J., De Bruyne, G., Van Hulle, M. M., Sijbers, J., and Verwulgen, S., “Product sizing with 3D anthropometry and k-medoids clustering”, Computer-Aided Design, vol. 91, pp. 60-74, 2017.
D. Lacko, Vleugels, J., Fransen, E., Huysmans, T., De Bruyne, G., Van Hulle, M. M., Sijbers, J., and Verwulgen, S., “Ergonomic design of an EEG headset using 3D anthropometry”, Applied Ergonomics, vol. 58, pp. 128–136, 2017.
D. Lacko, Huysmans, T., Parizel, P. M., De Bruyne, G., Verwulgen, S., Van Hulle, M. M., and Sijbers, J., “Evaluation of an anthropometric shape model of the human scalp”, Applied Ergonomics, vol. 48, pp. 70-85, 2015.PDF icon Paper (3.63 MB)File Shape matrix (cfr section 2.1.1) (36.93 MB)File Measurement matrix (cfr section 2.2.1) (20.05 KB)File Labeled measurements (cfr section 2.2.1) (47.63 KB)
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R. F. Kooy, Reyniers, E., Verhoye, M., Sijbers, J., Cras, P., Oostra, B. A., Willems, P. J., and Van Der Linden, A., “Neuroanatomy of the fragile X knockout mouse brain studied using in vivo high resolution Magnetic Resonance Imaging (MRI)”, European Journal of Human Genetics, vol. 7, pp. 526-532, 1999.PDF icon ejhg99.pdf (261.08 KB)
A. Könik, De Beenhouwer, J., Mukherjee, J. M., Kalluri, K., Banerjee, S., Zeraatkar, N., Fromme, T. J., and King, M. A., “Simulations of a Multipinhole SPECT Collimator for Clinical Dopamine Transporter (DAT) Imaging”, IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 2, pp. 444-451, 2018.
A. Könik, Auer, B., De Beenhouwer, J., Kalluri, K., Zeraatkar, N., Furenlid, L. R., and King, M. A., “Primary, scatter, and penetration characterizations of parallel-hole and pinhole collimators for I-123 SPECT”, Physics in Medicine & Biology, vol. 64, no. 24, p. 245001, 2019.PDF icon i123_spectra_final_revision_11_7_19.pdf (7.63 MB)
B. Koirala, Rasti, B., Bnoulkacem, Z., and Scheunders, P., “Nonlinear Spectral Unmixing Using Bézier Surfaces”, IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024.PDF icon Download paper (9.66 MB)
B. Koirala and Scheunders, P., “An efficient method for water content estimation of building materials from spectral reflectance”, NDT & E International, vol. 147, p. 103214, 2024.PDF icon Download paper (7.21 MB)
B. Koirala, Khodadadzadeh, M., Contreras, C., Zahiri, Z., Gloaguen, R., and Scheunders, P., “A supervised method for nonlinear hyperspectral unmixing”, Remote Sensing, vol. 11, no. 20 , 2019.PDF icon remotesensing-11-02458-v3.pdf (3.23 MB)
B. Koirala, Zahiri, Z., Lamberti, A., and Scheunders, P., “Robust supervised method for nonlinear spectral unmixing accounting for endmember variability”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7434-7448, 2021.PDF icon ieee_version.pdf (3.76 MB)
B. Koirala, Zahiri, Z., and Scheunders, P., “A Robust Supervised Method for Estimating Soil Moisture Content From Spectral Reflectance”, IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1-13, 2022.PDF icon soil_moisture_content.pdf (7.95 MB)

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