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2024
J. Grammens, Van Haver, A., Danckaers, F., Vuylsteke, K., Sijbers, J., Mahluf, L., Angele, P., Kon, E., and Verdonk, 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. Sierra-Jerez, Valencia, Y., Giraldo, D., and Martínez, F., “Towards dopaminergic SPECT estimation from structural MRI sequences to characterize Parkinson’s disease”, in 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024, pp. 1-4.
2023
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)
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. 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)
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)
J. Merckx, Sijbers, J., and De Beenhouwer, J., “Fitting a 2D mesh to X-ray measurements”, in 17th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, Stony Brook, 2023.
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)
J. Morez, Szczepankiewicz, F., den Dekker, A. J., Vanhevel, F., Sijbers, J., and Jeurissen, B., “Optimal experimental design and estimation for q-space trajectory imaging”, Human Brain Mapping, vol. 44, no. 4, pp. 1793-1809, 2023.PDF icon Download paper (5.87 MB)
B. Koirala, Mboga, N., Moelans, R., Knaeps, E., Sels, S., Winters, F., Samsonova, S., Vanlanduit, S., and Scheunders, P., “Study on the Potential of Oil Spill Monitoring in a Port Environment Using Optical Reflectance”, Remote Sensing, 2023.PDF icon remotesensing-15-04950_1.pdf (20.86 MB)
B. Koirala, Mboga, N., Moelans, R., Knaeps, E., Sels, S., Winters, F., Samsonova, S., Vanlanduit, S., and Scheunders, P., “Study on the Potential of Oil Spill Monitoring in a Port Environment Using Optical Reflectance”, Remote Sensing, 2023.PDF icon remotesensing-15-04950_1.pdf (20.86 MB)
M. Siqueira Pinto, Winzeck, S., Kornaropoulos, E. N., Richter, S., Paolella, R., Correia, M. M., Glocker, B., Williams, G., Vik, A., Posti, J., Håberg, A. Kristine, Stenberg, J., Guns, P. - J., den Dekker, A. J., Menon, D. K., Sijbers, J., Van Dyck, P., and Newcombe, V. F. J., “Use of support vector machines approach via ComBat harmonized diffusion tensor imaging for the diagnosis and prognosis of mild traumatic brain injury: a CENTER-TBI study”, Journal of Neurotrauma, vol. 40, no. 13-14, pp. 1317-1338, 2023.
2022
J. Merckx, van Lith, B., Sijbers, J., and De Beenhouwer, J., “Adaptive triangular mesh for phase contrast imaging”, 5th international Conference on Tomography of Materials & Structures, 27the June - 1ste July, Grenoble, France. 2022.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., and Scheunders, P., “Analysis of Plant Stress Response Using Hyperspectral Imaging and Kernel Ridge Regression”, in 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, Singapore, 2022, vol. 829.
V. Nguyen, Alves Pereira, L. F., Liang, Z., Mielke, F., Van Houtte, J., Sijbers, J., and De Beenhouwer, J., “Automatic landmark detection and mapping for 2D/3D registration with BoneNet”, Frontiers Veterinary Science, 2022.PDF icon Download paper (2.51 MB)
M. Shahrimie Asaari, Mertens, S., Verbraeken, L., Dhondt, S., Inze, D., Koirala, B., and Scheunders, P., “Non-Destructive Analysis of Plant Physiological Traits Using Hyperspectral Imaging: A Case Study on Drought Stress”, Computers and Electronics in Agriculture, vol. 195, no. 106806, 2022.PDF icon 1-s2.0-s0168169922001235-main.pdf (5.53 MB)
M. Shahrimie Asaari, Mertens, S., Verbraeken, L., Dhondt, S., Inze, D., Bikram, K., and Scheunders, P., “Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress”, Computers and Electronics in Agriculture, vol. 195, p. 106806, 2022.PDF icon non-destructive_analysis_of_plant_physiological_traits_using_hyperspectral.pdf (5.53 MB)
V. Anania, Jeurissen, B., Morez, J., Buikema, A. Eline, Billiet, T., Sijbers, J., and den Dekker, A. J., “Optimal acquisition settings for simultaneous diffusion kurtosis, free water fraction and T2 estimation”, Joint Annual Meeting ISMRM-ESMRMB. 2022.
G. Zhang, Scheunders, P., Cerra, D., and Muller, R., “Shadow-aware nonlinear spectral unmixing for hyperspectral imagery”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5514-5533, 2022.PDF icon shadow-aware_nonlinear_spectral_unmixing_for_hyperspectral_imagery.pdf (9.51 MB)
2021
B. De Samber, Renders, J., Elberfeld, T., Maris, Y., Sanctorum, J., Six, N., Liang, Z., De Beenhouwer, J., and Sijbers, J., “FleXCT: a Flexible X-ray CT scanner with 10 degrees of freedom”, Optics Express, vol. 29, no. 3, pp. 3438-3457, 2021.PDF icon Download paper (14.25 MB)
A. De Luca, Ianus, A., Leemans, A., Palombo, M., Shemesh, N., Zhang, H., Alexander, D. C., Nilsson, M., Froeling, M., Biessels, G. - J., Zucchelli, M., Frigo, M., Albay, E., Sedlar, S., Alimi, A., Deslauriers-Gauthier, S., Deriche, R., Fick, R., Afzali, M., Pieciak, T., Bogusz, F., Aja-Fernandez, S., Ozarslan, E., Jones, D. K., Chen, H., Jin, M., Zhang, Z., Wang, F., Nath, V., Parvathaneni, P., Morez, J., Sijbers, J., Jeurissen, B., Shreyas,, Fadnavis,, Endres, S., Rokem, A., Garyfallidis, E., Sanchez, I., Prchkovska, V., Rodrigues, P., Landman, B. A., and Schilling, K. G., “On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge”, NeuroImage, vol. 240, no. 118367, 2021.
V. Anania, Jeurissen, B., Morez, J., Buikema, A. Eline, Billiet, T., Sijbers, J., and den Dekker, A. J., “Optimal experimental design for the T2-weighted diffusion kurtosis imaging free water elimination model”, ESMRMB 2021 Online 38th Annual Scientific Meeting 7–9 October 2021. Magn Reson Mater Phy, vol. 34. pp. S54-S55, 2021.
M. Siqueira Pinto, Winzeck, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., den Dekker, A. J., Sijbers, J., Guns, P. - J., Van Dyck, P., and Newcombe, V. F. J., “Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study”, ISMRM & SMRT Annual Meeting. 2021.
M. Siqueira Pinto, Winzeck, S., Richter, S., Correia, M. M., Kornaropoulos, E. N., Menon, D. K., Glocker, B., Guns, P. - J., den Dekker, A. J., Sijbers, J., Newcombe, V. F. J., and Van Dyck, P., “Outcome prediction of mild traumatic brain injury using support vector machine based on longitudinal MRdiffusion imaging from CENTER-TBI”, Magn Reson Mater Phy (ESMRMB), vol. 34. p. S54, 2021.
2020
B. Fröhler, Elberfeld, T., Möller, T., Hege, H. - C., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibres”, Nondestructive Testing and Evaluation, vol. 35, no. 3, pp. 328-341, 2020.

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