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D. Meersman, Scheunders, P., and Van Dyck, D., “Classification of microcalcifications using texture-based features”, in Digital Mammography, 1998, pp. 233-236.
D. Meersman, Scheunders, P., and Van Dyck, D., “Detection of microcalcifications using non-linear filtering”, in Proc. EUSIPCO'98, European Signal Processing Conference, 1998, pp. 2465-2468.
D. Meersman, Scheunders, P., and Van Dyck, D., “Detection of microcalcifications using neural networks”, in Digital Mammography, 1996, pp. 287-290.
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., 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.
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 Third Meeting of the Belgian Society for Neuroscience, Brussels, Belgium, 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 16th annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 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.
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, 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., 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.
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G. Nagels, Vandervliet, E., Van Hecke, W., Engelborghs, S., hooghe, M. B. D., Cras, P., Parizel, P. M., and De Deyn, P. P., “fMRI during PASAT and PVSAT in mild MS, moderate MS and normal volunteers.”, in 22nd Congress of the European Committee for, Madrid, Spain, 2006.
J. Nam, Mysore, G. J., Ganseman, J., Lee, K., and Abel, J. S., “A super-resolution spectrogram using coupled PLCA”, in INTERSPEECH, Makuhari, Japan, 2010, pp. 1696-1699.
T. Nath, Liu, G., Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., “Tracking for Quantifying Social Network of Drosophila Melanogaster”, in 15th Computer Analysis of Images and Patterns (CAIP), 2013, vol. 8048, pp. 539–545.
T. Nath, G.Liu,, Weyn, B., Hassan, B., De Backer, S., and Scheunders, P., “Automated Social behaviour Recognition At Low Resolution”, in 22nd IEEE - International Conference of Pattern Recognition (ICPR), 2014.
M. Nauwynck, Bazrafkan, S., Van Heteren, A., De Beenhouwer, J., and Sijbers, J., “Ring Artifact Reduction in Sinogram Space Using Deep Learning”, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.PDF icon Download paper (2.49 MB)
Z. H. Nezhad, Karami, A., Heylen, R., and Scheunders, P., “Superresolution Of Hyperspectral Images Using Spectral Unmixing And Sparse Regularization”, in IGARSS 2016, Beijing China, 2016.
V. Nguyen, De Beenhouwer, J., Bazrafkan, S., Hoang, A. - T., Van Wassenbergh, S., and Sijbers, J., “BeadNet: a network for automated spherical marker detection in radiographs for geometry calibration”, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020, pp. 518-521.PDF icon Download paper (2.16 MB)
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., “An accelerated motion-compensated iterative reconstruction technique for dynamic computed tomography”, in Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 122421F, San Diego, CA, United States, 2022.
V. Nguyen, De Beenhouwer, J., Sanctorum, J., Van Wassenbergh, S., Aerts, P., Dirckx, J. J. J., and Sijbers, J., “A low-cost and easy-to-use phantom for cone-beam geometry calibration of a tomographic X-ray system”, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.93 MB)
A. - T. Nguyen, Renders, J., Sijbers, J., and De Beenhouwer, J., “Region-based motion-compensated iterative reconstruction technique for dynamic computed tomography”, in IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, 2023.
A. - T. Nguyen, Renders, J., Soete, J., Wevers, M., Sijbers, J., and De Beenhouwer, J., “Analytic derivatives of scaling motion-compensated projection operators for dynamic computed tomography”, in e-Journal of Nondestructive Testing, 2022, vol. 27 (3), pp. 1-5.
M. Nicastro, Jeurissen, B., Beirinckx, Q., Smekens, C., Poot, D. H. J., Sijbers, J., and den Dekker, A. J., “Comparison of MR acquisition strategies for super-resolution reconstruction using the Bayesian Mean Squared Error”, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.

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