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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, “The application of 3D anthropometry for the development of headgear: a case study on the design of ergonometric brain-computer interfaces”, 2017.PDF icon Download thesis (3.52 MB)
D. Lacko, Huysmans, T., Claeskens, A., Verwulgen, S., Aerts, P., Sijbers, J., and De Bruyne, G., “An Anthropometric Shape Model for the Design of Sports Helmets”, European Conference on Protective Clothing (ECPC). 2014.
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M. Kudzinava, Poot, D. H. J., Plaisier, A., and Sijbers, J., “Optimized Workflow for Diffusion Kurtosis Imaging of Newborns”, in ISBI, 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, USA, 2011, pp. 922-926.PDF icon Paper (286.57 KB)PDF icon Presentation (1.25 MB)
M. Kudzinava, Leemans, A., Philips, W., Perrone, D., Aelterman, J., Dudink, J., and Sijbers, J., “Distortion correction of DKI data: affine approach”, 10th Belgian Day on Biomedical Engineering – joint meeting with IEEE EMBS Benelux Chapter. 2011.PDF icon Abstract (362.44 KB)PDF icon Poster (716.34 KB)
M. Kudzinava, Plaisier, A., Dudink, J., and Sijbers, J., “Diffusion and kurtosis parameters in white matter of premature newborns”, WMSG, White Matter Study Group, International Workshop on Advanced White Matter Imaging. Reykjavik, Iceland, p. 21, 2011.PDF icon Abstract (378.88 KB)PDF icon Poster (363.19 KB)
M. Kudzinava, Rajan, J., and Sijbers, J., “Denoising of DKI images: effect on feasibility and accuracy of kurtosis parameters”, ESMRMB, European Society for Magnetic Resonance in Medicine and Biology, 28th Annual Scientific Meeting. Leipzig, Germany, p. 236, 2011.PDF icon Abstract (313.22 KB)PDF icon Presentation (1.13 MB)
R. F. Kooy, Reyniers, E., Verhoye, M., Sijbers, J., Oostra, B. A., Willems, P. J., and Van Der Linden, A., “Neuroanatomy of the fragile X knockout mouse brain studied using high-resolution MRI”, in 48th Annual Meeting of the American Society of Human Genetics, Denver, CO (USA), 1998, p. 1918.
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)
R. F. Kooy, Reyniers, E., Dhooghe, R., De Deyn, P. P., Van Der Linden, A., Verhoye, M., Sijbers, J., Oostra, B. A., and Willems, P. J., “Characterization of the Fragile X knockout mouse”, in Abstracts of the second annual meeting of the Belgian society of neuroscience, Brussels, Belgium, 1997.
R. F. Kooy, Reyniers, E., Verhoye, M., Sijbers, J., Fransen, E., Van Camp, C., Cras, P., Oostra, B. A., Van Der Linden, A., and Willems, P. J., “MRI as a tool to study brain structure from mouse models of mental retardation”, in Abstracts of the 8th international workshop on Fragile X syndrome and X-linked mental retardation, Picton, Ontario, Canada, 1997.
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, 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. 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 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 and Scheunders, P., “A semi-supervised method for Nonlinear Hyperspectral Unmixing”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, 2019, pp. pp. 361-364.PDF icon bikram_koirala_igarss2019.pdf (325.58 KB)
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, Rasti, B., Bnoulkacem, Z., and Scheunders, P., “Unmixing Intimate Mixtures Using Bézier Surfaces”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon bezier.pdf (605.24 KB)
B. Koirala, “ Development of advanced hyperspectral unmixing methods ”, 2020.
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)
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, Zahiri, Z., and Scheunders, P., “A Machine Learning Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements”, IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 10, pp. 7393-7405, 2020.PDF icon final_version_leaf_parameter_estimation.pdf (2.66 MB)
B. Koirala, Heylen, R., and Scheunders, P., “A NEURAL NETWORK METHOD FOR NONLINEAR HYPERSPECTRAL UNMIXING”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018, pp. pp. 4233-4236.PDF icon a_nn_method_bikram_koirala_igarss2018.pdf (242.16 KB)
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)

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