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Journal Article
F. De Carlo, Gursoy, D., Ching, D., Batenburg, K. J., Ludwig, W., Mancini, L., Welford, F. M., Mokso, R., Pelt, D., Sijbers, J., and Rivers, M., TomoBank: A Tomographic Data Repository for Computational X-ray Science, Measurement Science and Technology, vol. 29, no. 3, pp. 1-10, 2018.PDF icon Download paper (5.71 MB)
W. Van den Broek, Verbeeck, J., Schryvers, D., De Backer, S., and Scheunders, P., Tomographic Spectroscopic Imaging; an experimental proof of concept, Ultramicroscopy, vol. 109, pp. 296-303, 2009.
Z. Liang, Van Heteren, A., Sijbers, J., and De Beenhouwer, J., Toward denoising of 3D CT scans with few data, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.PDF icon Download paper (5.93 MB)
M. Vandecasteele, Heylen, R., Iuso, D., Thanki, A., Philips, W., Witvrouw, A., Verhees, D., and Booth, B. G., Towards material and process agnostic features for the classification of pore types in metal additive manufacturing, Materials & Design, vol. 227, p. 111757, 2023.
D. Van Dyck, Bettens, E., Sijbers, J., Op de Beeck, M., van den Bos, A., den Dekker, A. J., Jansen, J., and Zandbergen, H., Towards quantitative structure determination through electron holographic methods, Materials Characterization, vol. 42, pp. 265-281, 1999.PDF icon Download paper (6.71 MB)
W. Van Hecke, Leemans, A., Sijbers, J., Vandervliet, E., Van Goethem, J., and Parizel, P. M., A tracking based DTI segmentation method for the detection of diffusion-related changes of the cervical spinal cord with aging, Journal of Magnetic Resonance Imaging, vol. 27, pp. 978-991, 2008.PDF icon Download paper (4.4 MB)
B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., UnDIP: hyperspectral unmixing using deep image prior, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2021.PDF icon manuscript.pdf (13 MB)
G. Ramos-Llordén, den Dekker, A. J., Van Steenkiste, G., Jeurissen, B., Vanhevel, F., Van Audekerke, J., Verhoye, M., and Sijbers, J., A unified Maximum Likelihood framework for simultaneous motion and T1 estimation in quantitative MR T1 mapping, IEEE Transactions on Medical Imaging, vol. 36, no. 2, pp. 433 - 446, 2017.
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Scheunders, P., and Gloaguen, R., Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 15, pp. 284-296, 2022.PDF icon mdc_jstars-final_version.pdf (6.53 MB)
W. S. Oliveira, Teixeira, J. V., Tsang, I. R., Cavalcanti, G. D. C., and Sijbers, J., Unsupervised Retinal Vessel Segmentation Using Combined Filters, Plos One, vol. 11, pp. 1-21, 2016.
M. Bührer, Xu, H., Eller, J., Sijbers, J., Stampanoni, M., and Marone, F., Unveiling Water Dynamics in Fuel Cells from Time-Resolved Tomographic Microscopy Data, Scientific Reports, vol. 10, no. 16388 , 2020.PDF icon Download paper (4.12 MB)
M. Brackx, Verhelst, J., Scheunders, P., and Samson, R., On the use of dorsiventral reflectance asymmetry of hornbeam (Carpinus betulus L.) leaves in air pollution estimation, Environmental Monitoring and Assessment, vol. 189, no. 9, 2017.
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.
C. C. Hung, Scheunders, P., Pham, M., Su, M. C., and Coleman, T., Using Intelligent Optimization Techniques in the K-means Algorithm for Multispectral Image Classification, International Journal of Fuzzy Systems, vol. 6, pp. 107-117, 2004.
P. Lopes, Van Herck, P., Verhoelst, E., Wirix-Speetjens, R., Sijbers, J., Bosmans, J., and Vander Sloten, J., Using particle systems for mitral valve segmentation from 3D transoesophageal echocardiography (3D TOE) - a proof of concept, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 11, no. 1, pp. 112-120, 2023.
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.
B. Weyn, Tjalam, W., Van de Wouwer, G., Van Daele, A., Scheunders, P., Jacob, W., Van Marck, E., and Van Dyck, D., Validation of nuclear texture density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma, Analytical and Quantitative Cytology and Histology, vol. 22, pp. 373-382, 2000.
K. Hufkens, Scheunders, P., and Ceulemans, R., Validation of the sigmoid wave curve fitting algorithm on a forest-tundra ecotone in the Northwest Territories, Canada, Ecological Informatics, vol. 4, pp. 1-7, 2009.
B. Weyn, Van de Wouwer, G., Koprowski, M., Van Daele, A., Dhaene, K., Scheunders, P., Jacob, W., and Van Marck, E., Value of morphometry, texture analysis, densitometry and histometry in the differential diagnosis and prognosis of malignant mesothelioma, Journal of Pathology, vol. 4, pp. 581-589, 1999.
J. Sanctorum, Sijbers, J., and De Beenhouwer, J., Virtual grating approach for Monte Carlo simulations of edge illumination-based x-ray phase contrast imaging, Optics Express, vol. 31, no. 21, pp. 38695-38708, 2022.PDF icon Download paper (2.95 MB)
B. Fröhler, Elberfeld, T., Möller, T., Weissenböck, J., De Beenhouwer, J., Sijbers, J., Hege, H. - C., Kastner, J., and Heinzl, C., A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science, Computer Graphics Forum, vol. 38, no. 3, pp. 273-283, 2019.
G. Van de Wouwer, Scheunders, P., Van Dyck, D., Wuyts, F. L., and Van de Heyning, P. H., Voice recognition from spectrograms: a wavelet based approach, Fractals, vol. 5, pp. 165-172, 1997.
D. Iuso, Chatterjee, S., Cornelissen, S., Verhees, D., De Beenhouwer, J., and Sijbers, J., Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural models, Applied Intelligence, In Press.
J. Sijbers, Verhoye, M., Scheunders, P., Van Der Linden, A., Van Dyck, D., and Raman, E., Watershed based segmentation of 3D MR data for volume quantization, Magnetic Resonance Imaging, vol. 15, pp. 679-688, 1997.PDF icon Download paper (3.18 MB)
G. Van de Wouwer, Scheunders, P., Livens, S., and Van Dyck, D., Wavelet correlation signatures for color texture characterization, pattern Recognition, vol. 32, pp. 443-451, 1999.

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