Publications

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2025
M. Yosifov, Lang, T., Florian, V., Gerth, S., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI”, Journal of Nondestructive Evaluation, vol. 44, no. 10, 2025.
Y. Huybrechts, De Ridder, R., Bergen, D., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Vergauwen, L., Schepers, D., Van Dijck, E., Tong, Q., Verhulst, A., De Beenhouwer, J., Sijbers, J., Hammond, C., Forlino, A., Mortier, G., Coucke, P., P Witten, E., Kwon, R. Young, Willaert, A., Hendrickx, G., and Van Hul, W., “Loss of the Ubiquitin-Associated Domain of sqstm1/p62 in Zebrafish Causes a Phenotype Resembling Paget’s Disease of Bone”, Calcified Tissue International, vol. 116, no. 1, pp. 1-15, 2025.
Y. Huybrechts, De Ridder, R., Bergen, D., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Vergauwen, L., Schepers, D., Van Dijck, E., Tong, Q., Verhulst, A., De Beenhouwer, J., Sijbers, J., Hammond, C., Forlino, A., Mortier, G., Coucke, P., P Witten, E., Kwon, R. Young, Willaert, A., Hendrickx, G., and Van Hul, W., “Loss of the Ubiquitin-Associated Domain of sqstm1/p62 in Zebrafish Causes a Phenotype Resembling Paget’s Disease of Bone”, Calcified Tissue International, vol. 116, no. 1, pp. 1-15, 2025.
2024
F. Schmidt, Koirala, B., and Andrieu, F., “Determination of volumetric abundance of intimate mixture using Bayesian MCMC”, IEEE Sensors Journal, pp. 1-1, 2024.PDF icon Download paper (2.8 MB)
D. Gökbel Keklikoğlu, Francken, N., Huyge, B., Merdan, Z., De Beenhouwer, J., and Sijbers, J., “Dynamic flat field correction in edge illumination imaging”, in SPIE Developments in X-Ray Tomography XV, 2024, vol. 13152.
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)
D. Ali Chaghdo, Koirala, B., Cristina, L., Hayen, R., and Scheunders, P., “Exploring the Potential of Hyperspectral Imaging to Estimate the Moisture Content in Natural and Historical Stones”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon exploring_the_potential_of_hyperspectral_imaging_to_estimate_the_moisture_content_in_natural_and_historical_stones.pdf (1.81 MB)
Z. Bnoulkacem, Koirala, B., and Scheunders, P., “Improving Spectral Unmixing Performance by Frequency Component Reduction”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon improving_spectral_unmixing_performance_by_frequency_component_reduction.pdf (582.17 KB)
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)
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)
D. Giraldo, Khan, H., Pineda, G., Liang, Z., Lozano, A., Van Mijweersch, B., Woodruff, H. C., Lambin, P., Romero, E., Peeters, L. M., and Sijbers, J., “Perceptual super-resolution in multiple sclerosis MRI”, Frontiers in Neuroscience, vol. 18, 2024.
B. Koirala, Rasti, B., and Scheunders, P., “A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-11, 2024.PDF icon Download paper (4.49 MB)
A. -yhuwertMurcia Tapias, Giraldo, D., and Romero, E., “Synthesizing fractional anisotropy maps from T1-weighted magnetic resonance images using a simplified generative adversarial network”, in Medical Imaging 2024: Clinical and Biomedical Imaging, 2024, vol. 12930, p. 129302P.
J. Grammens, Van Haver, A., Danckaers, F., Vuylsteke, K., Sijbers, J., Mahluf, L., Angele, P., Kon, E., and Verdonck, P., “Three-dimensional bone morphology is a risk factor for medial postmeniscectomy syndrome: A retrospective cohort study”, Journal of Experimental Orthopaedics, vol. 11, no. 3, p. e12090, 2024.
F. Schmidt, Koirala, B., and Andrieu, F., “Validation of abundance determination of granular mixture using radiative transfer and Bayesian MCMC”, EPSC2024. 2024.PDF icon exhibit_17_validation_of_abundance_determination_of_granular_mixture_using_radiative_transfer_and_bayesian_mcmc.pdf (977.09 KB)
2023
B. Koirala, Das, S., Rasti, B., Ghamisi, P., Gloaguen, R., and Scheunders, P., “Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon critical_comparison.pdf (1002.06 KB)
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Klein, S., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., “ADEPT: Accurate Diffusion EPI with multi-contrast shoTs”, Magnetic Resonance in Medicine, vol. 89, no. 1, pp. 396-410, 2023.PDF icon Download paper (5.82 MB)
Z. Bnoulkacem, Vlaminck, M., Morocho, G. Raimundo L., Zivariadab, H., Zahiri, Z., Koirala, B., Platisa, L., Luong, H., Scheunders, P., Mangialetto, F., and Bufi, I., “Corrosion detection using hyperspectral VNIR and SWIR imaging for drone-based inspection of electrical pylons”, in EUROCORR 2023, European Corrosion Congress, Proceedings, 2023, p. 2.PDF icon exhibit_17_corrosion_detection_using_hyperspectral_vnir_and_swir_imaging.pdf (138.17 KB)
M. Yosifov, Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations”, in e-Journal of Nondestructive Testing, 2023, vol. 28, no. 3.PDF icon Download paper (2.37 MB)
M. Vlaminck, Bnoulkacem, Z., Luzardo, G., Zivariadab, H., Zahiri, Z., Koirala, B., Mangialetto, F., Bufi, I., Platisa, L., Jayapala, M., Scheunders, P., and Luong, H., “Drone-Based Corrosion Detection on High-Voltage Transmission Towers Using Hyperspectral Imaging”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon whispers2023.pdf (10.52 MB)
E. Ribeiro Sabidussi, Klein, S., Jeurissen, B., and Poot, D. H. J., “dtiRIM: A generalisable deep learning method for diffusion tensor imaging”, Neuroimage, vol. 269, 2023.PDF icon Download paper (5.11 MB)
H. Khan, Giraldo, D., Beirinckx, Q., Sijbers, J., Lambin, P., Woodruff, H. C., and Peeters, L. M., “Exploring the Correlation between Disability Status and Brain Volumetric Measurements Using Real-World Retrospective Magnetic Resonance Images in People with Multiple Sclerosis”, Proceedings of the 9th Joint European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) - Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Meeting. October 11-13, Milan, Italy, 2023.
B. Koirala, Rasti, B., Bnoulkacem, Z., Ribeiro, A. De Lima, Madriz, Y., Herrmann, E., Gestels, A., De Kerf, T., Janssens, K., Steenackers, G., Gloaguen, R., and Scheunders, P., “An Extensive Multisensor Hyperspectral Benchmark Datasets of Intimate Mixtures of Mineral Powders”, in IEEE International Geoscience and Remote Sensing Symposium, 2023, pp. 5890-5893.PDF icon igarss_2022_1.pdf (1001.3 KB)
B. Koirala, Rasti, B., Bnoulkacem, Z., Ribeiro, A. De Lima, Madriz, Y., Herrmann, E., Gestels, A., De Kerf, T., Lorenz, S., Fuchs, M., Janssens, K., Steenackers, G., Gloaguen, R., and Scheunders, P., “A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures”, IEEE Sensors Journal, 2023.PDF icon a_multisensor_hyperspectral_benchmark_dataset_for_unmixing_of_intimate_mixtures_1_.pdf (22.13 MB)
K. Vinay Jambhali, Koirala, B., Bnoulkacem, Z., and Scheunders, P., “Soil Moisture Content Estimation from Hyperspectral Remote Sensing Data”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon soil_ketaki.pdf (580.15 KB)

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