Publications

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O. Melet, Huysmans, T., Hummel, M., and Brunet, P. - M., GPGPU and MIC in accelerated cluster for remote sensed image processing software, in Conference on Big Data from Space (BiDS), 12-14 November, ESRIN, Frascati, Italy, 2014.PDF icon paper (158.32 KB)
Z. Jiang, Liang, Z., Das, M., and Gifford, H. C., SPIE ProceedingsTowards using eye-tracking data to develop visual-search observers for x-ray breast imaging, in SPIE Medical ImagingMedical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, Orlando, Florida, United States, 2015, vol. 9416, p. 94160V.
J. Merckx, den Dekker, A. J., Sijbers, J., and De Beenhouwer, J., DAMMER: Direct Adaptive Multi-resolution MEsh Reconstruction from X-ray measurements, IEEE Transactions on Computational Imaging , vol. 11, pp. 926 - 941, 2025.
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.
J. Merckx, den Dekker, A. J., De Beenhouwer, J., and Sijbers, J., Fast and efficient tetrahedral volume mesh reconstruction with CAD-ASTRA, in SPIE Developments in X-Ray Tomography XV, San Diego, USA, 2024, vol. 13152.PDF icon fast_and_efficient_tetrahedral_volume_mesh_reconstruction_with_cad_astra.pdf (575.43 KB)
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.
K. Meuleman, Coppin, P., De Backer, S., Debruyn, W., Nackaerts, K., Scheunders, P., and Sterckx, S., Optimal hyperspectral indicators for stress detection in orchards, in Proc. Earsel 2003, Imaging Spectroscopy workshop Oberpfaffenhofen, 2003, pp. 534-541.
I. Michiels, Sijbers, J., Eelen, J., Verhoye, M., Dhooghe, R., Nagels, G., De Deyn, P. P., and Van Der Linden, A., Simultaneous EEG and MRI in an animal model for generalized epilepsy induced in the MRI instrument, in 16th annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 1999.
I. Michiels, Sijbers, J., Eelen, J., Verhoye, M., Dhooghe, R., Nagels, G., De Deyn, P. P., and Van Der Linden, A., Simultaneous EEG and MRI in an animal model for generalized epilepsy induced in the MRI instrument, in Third Meeting of the Belgian Society for Neuroscience, Brussels, Belgium, 1999.
P. Mishra, Asaari, M. Shahrimie, Mertens, S., Wuyts, N., Dhondt, S., and Scheunders, P., Close range hyperspectral imaging for plant phenotyping, in Hyperspectral Imaging and Applications Conference, Coventry, UK, 2016.
M. Mohammadian, Roine, T., Hirvonen, J., Kurki, T., Ala-Seppälä, H., Frantzén, J., Katila, A., Kyllönen, A., Maanpää, H. - R., Posti, J., Takala, R., Tallus, J., and Tenovuo, O., High angular resolution diffusion-weighted imaging in mild traumatic brain injury, NeuroImage: Clinical, vol. 13, pp. 174 - 180, 2017.PDF icon Download paper (848.3 KB)
J. Morez, Accurate and precise parameter estimation for diffusion magnetic resonance imaging, 2026.
J. Morez, Sijbers, J., and Jeurissen, B., Optimal experimental design for multi-tissue spherical deconvolution of diffusion MRI, Proc Intl Soc Mag Reson Med 28. p. 4321, 2020.
J. Morez, Sijbers, J., and Jeurissen, B., Spherical Deconvolution of Non-Spherically Sampled Diffusion MRI Data, International Society for Magnetic Resonance in Medicine. 2017.
J. Morez, Sijbers, J., and Jeurissen, B., Spherical Deconvolution of Non-Spherically Sampled Diffusion MRI Data, Proc. Intl. Soc. Mag. Reson. Med. 25. p. 66, 2017.
J. Morez, Sijbers, J., and Jeurissen, B., A comparison of response function tensor models for multi-tissue spherical deconvolution, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Rotterdam, The Netherlands, vol. 32 (Suppl. 1). pp. S138–S139, 2019.
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)
J. Morez, De Luca, A., Pietsch, M., Christiaens, D., Baete, S. H., Reisert, M., and Jeurissen, B., Handbook of Diffusion MR Tractography: Multishell models. Elsevier, 2025, pp. 201 - 220.
J. Morez, Sijbers, J., Vanhevel, F., and Jeurissen, B., Constrained spherical deconvolution of non-spherically sampled diffusion MRI data, Human Brain Mapping, vol. 42, pp. 521–538, 2020.PDF icon Download paper (5.87 MB)
S. Mukunthan, Kuklane, K., Huysmans, T., and De Bruyne, G., A Comparison Between Physical and Virtual Experiments of Convective Heat Transfer Between Head and Bicycle Helmet, in 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), Los Angeles, California, USA, 2017.
S. Mukunthan, Vleugels, J., Huysmans, T., Mayor, T. Sotto, and De Bruyne, G., A 3D Printed Thermal Manikin Head for Evaluating Helmets for Convective and Radiative Heat Loss, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) Volume VII, 2019, vol. VII, pp. 592–602.
S. Mukunthan, Vleugels, J., Huysmans, T., and De Bruyne, G., Latent Heat Loss of a Virtual Thermal Manikin for Evaluating the Thermal Performance of Bicycle Helmets, in Advances in Human Factors in Simulation and Modeling, Cham, 2019, pp. 66–78.
A. Murcia-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.

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