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G
P. Gosh, Roy, S. Kumar, Koirala, B., Rasti, B., and Scheunders, P., “Hyperspectral Unmixing using Transformer Network”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022.PDF icon transformer_unmixing_author_version_to_upload.pdf (14.65 MB)
L. Goto, Huysmans, T., Lee, W., Molenbroek, J. F. M., and Goossens, R., “A Comparison Between Representative 3D Faces Based on Bi- and Multi-variate and Shape Based Analysis”, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)- Volume VII, 2019, vol. VII, pp. 1355–1364.
J. Goyens, Vasilopoulou-Kampitsi, M., Claes, R., Sijbers, J., and Mancini, L., “Enhanced contrast in X-ray microtomographic images of the membranous labyrinth using different X-ray sources and scanning modes”, Journal of Anatomy, vol. 233, p. 770--782, 2018.PDF icon Download paper (1.44 MB)
J. Grammens, Van Haver, A., Lumban-Gaol, I., Danckaers, F., Verdonck, P., and Sijbers, J., “Automated landmark annotation for morphometric analysis of distal femur and proximal tibia”, Journal of Imaging, vol. 10, no. 4, 2024.
J. Grammens, Van Haver, A., Danckaers, F., Booth, B. G., Sijbers, J., and Verdonk, P., “Small medial femoral condyle morphotype is associated with medial compartment degeneration and distinct morphological characteristics: a comparative pilot study”, Knee Surgery, Sports Traumatology, Arthroscopy, no. 686 , 2020.
C. Guglielmetti, Veraart, J., Roelant, E., Mai, Z., Daans, J., Van Audekerke, J., Naeyaert, M., Vanhoutte, G., Delgado Y Palacios, R., Praet, J., Fieremans, E., Ponsaerts, P., Sijbers, J., Van Der Linden, A., and Verhoye, M., “Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone-induced demyelination and spontaneous remyelination”, NeuroImage, vol. 125, pp. 363–377, 2016.
C. Guglielmetti, Veraart, J., Roelant, E., Mai, Z., Daans, J., Van Audekerke, J., Praet, J., Ponsaerts, P., Sijbers, J., Van Der Linden, A., and Verhoye, M., “Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone-induced demyelination and spontaneous remyelination”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. 2015.PDF icon Download abstract (866.27 KB)
W. Guo, Hung, C. - C., Scheunders, P., Kuo, B. - C., Lan, Y., and Ma, Z., “Advanced techniques for computational and information sciences”, Mathematical Problems in Engineering, vol. 2016, 2016.
C. Gupta, Van de Casteele, E., and Chakravartty, J. K., “Imaging of voids due to deformation in alloy steel using micro-focus X-ray beam”, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 267, no. 20, pp. 3488 - 3490, 2009.
H
B. Haest, Vanden Borre, J., Spanhove, T., Thoonen, G., Delalieux, S., Kooistra, L., Mücher, C. A., Paelinckx, D., Scheunders, P., and Kempeneers, P., “Habitat mapping and quality assessment of NATURA 2000 Heatland using airborne imaging spectroscopy”, Remote Sensing, vol. 9, no. 3, 2017.
B. Haest, Thoonen, G., Vanden Borre, J., Spanhove, T., Delalieux, S., Bertels, L., Kooistra, L., Mücher, C. A., and Scheunders, P., “An object-based approach to quantity and quality assessment of heathland habitats in the framework of NATURA 2000 using hyperspectral airborne AHS images.”, in Proceedings of GEOBIA 2010, the Geographic Object-Based Image Analysis Conference, 2010, vol. XXXVIII-4/C7.
J. Hamaide, De Groof, G., Van Steenkiste, G., Jeurissen, B., Van Audekerke, J., Naeyaert, M., Van Ruijssevelt, L., Cornil, C., Sijbers, J., Verhoye, M., and Van Der Linden, A., “ Exploring sex differences in the adult zebra finch brain: In vivo diffusion tensor imaging and ex vivo super-resolution track density imaging”, NeuroImage, vol. 146, pp. 789-803, 2017.
R. Hanel, Batenburg, K. J., and Sijbers, J., “Fast bias field estimation by localized Lloyd-Max quantization”, in SPIE Medical Imaging, San Diego, CA, USA, 2008.PDF icon Download full paper (297.69 KB)
S. Hassanzadeh, Karami, A., Heylen, R., and Scheunders, P., “Compression Of Hyperspectral Images Using Block Coordinate Descent Search And Compressed Sensing”, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
R. Heylen, Thanki, A., Verhees, D., Iuso, D., De Beenhouwer, J., Sijbers, J., Witvrouw, A., Haitjema, H., and Bey-Temsamani, A., “3D total variation denoising in X-CT imaging applied to pore extraction in additively manufactured parts”, Measurement Science and Technology, vol. 33, no. 4, pp. 1-12, 2022.
R. Heylen and Scheunders, P., “A fast geometric algorithm for solving the inversion problem in spectral unmixing”, in IEEE-WHISPERS 2012, Workshop on Hyperspectral Image and Signal Processing, Shanghai, June 4-7, 2012.
R. Heylen, Parente, M., and Scheunders, P., “Pixel purity vertex component analysis”, in IEEE IGARSS 2017, International Geoscience and Remote Sensing Symposium, Fort Worth, USA, July 23-28, 2017.
R. Heylen and Scheunders, P., “Hyperspectral intrinsic dimensionality estimation with nearest-neighbor distance ratio's”, IEEE JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 570-579, 2013.
R. Heylen, Scheunders, P., Rangarajan, A., and Gader, P., “Nonlinear unmixing by using non-Euclidean metrics in a linear unmixing chain”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
R. Heylen and Scheunders, P., “Nonlinear barycentric dimensionality reduction”, in IEEE ICIP10, IEEE International Conference on Image Processing, Hong Kong, september 26-29, 2010, pp. 1341-1344.
R. Heylen, Akhter, M. A., and Scheunders, P., “A fast alternative for the pixel purity index algorithm”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 1781-1784.
R. Heylen and Scheunders, P., “A distance geometric framework for non-linear hyperspectral unmixing”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 1879-1888, 2014.
R. Heylen, Parente, M., and Scheunders, P., “Estimation of the intrinsic dimensionality in hyperspectral imagery via the hubness phenomenon”, in LVA ICA 2017, International conference on latent variable analysis and signal separation, Grenoble, France, February 21-23, Lecture Notes in Computer Science, 2017, vol. 10169.
R. Heylen and Scheunders, P., “Non-linear fully-constrained spectral unmixing”, in IEEE IGARSS2011, IEEE International Geoscience and Remote Sensing Symposium, Vancouver, July 25-29, 2011.
R. Heylen, Akhter, M. A., and Scheunders, P., “On using projection onto convex sets for solving the hyperspectral unmixing problem”, IEEE Geoscience and Remote Sensing Letters, 2013.

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