Publications

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F
D. Frenkel, De Beenhouwer, J., and Sijbers, J., “An adaptive probability map for the Discrete Algebraic Reconstruction Technique”, in 10th Conference on Industrial Computed Tomography (ICT 2020), 2020, pp. 1-6.
D. Frenkel, De Beenhouwer, J., and Sijbers, J., “Tabu-DART: an dynamic update strategy for the Discrete Algebraic Reconstruction Technique based on Tabu-search”, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
D. Frenkel, Six, N., De Beenhouwer, J., and Sijbers, J., “Tabu-DART: A dynamic update strategy for efficient discrete algebraic reconstruction”, The Visual Computer, vol. 39, pp. 4671–4683, 2023.PDF icon Download paper (2.31 MB)
M. Froeling, Strijkers, G. J., Jeurissen, B., van der Paardt, M., Stoker, J., Nicolay, K., Nederveen, A. J., and Leemans, A., “Fiber architecture of the female pelvic floor: An exploratory investigation using different diffusion MRI tractography algorithms”, ISMRM, 19th Scientific Meeting and Exhibition. Montreal, Canada, 2011.
B. Fröhler, Melo, Lda Cunha, Weissenböck, J., Kastner, J., Möller, T., Hege, H. - C., Gröller, E., Sanctorum, J., De Beenhouwer, J., Sijbers, J., and Heinzl, C., “Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry”, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.07 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.
B. Fröhler, Elberfeld, T., Möller, T., Hege, H. - C., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibres”, Nondestructive Testing and Evaluation, vol. 35, no. 3, pp. 328-341, 2020.
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J. Ganseman, Mysore, G. J., Scheunders, P., and Abel, J. S., “Source separation by score synthesis”, in Proc. International Computer Music Conference (ICMC 2010), New York, NY, June 1-5, 2010, pp. 462-465.
J. Ganseman and Scheunders, P., “A jump start for NMF with N-Findr and NNLS”, in DAFx-12, 15-th Int. Conference on Digital Audio Effects, York, UK, september 17-21, 2012.
J. Ganseman, Mysore, G. J., Scheunders, P., and Abel, J. S., “Evaluation of a score-informed source separation system”, in Proc. 11th International Society for Music Information Retrieval Conference (ISMIR 2010), Utrecht, the Netherlands, August 2010, 2010, pp. 219-224.
J. Ganseman, Scheunders, P., and Dixon, S., “Imrpoving PLCA-based score-informed source separation with invertible constant-Q transform”, in EUSIPCO 2012, 20th European Signal Processing Conference, Bucharest, Romania, august 27-31 , 2012, pp. 2634-2638.
J. Ganseman, Scheunders, P., and D'haes, W., “Using XQUERY on MusicXML databases for musicological analysis”, in ISMIR 2008, 9-th International Conference on Music Information Retrieval, Philadephia, USA, 14-18 september, 2008, pp. 433-438.
J. Ganseman, Scheunders, P., and D'haes, W., “Using XML-formatted scores in real-time applications”, in 10-th International Society for Music Information Retrieval Conference, pp. 663-668, Kobe, Japan, October 26-30, 2009, pp. 663-668.
J. Ganseman, Scheunders, P., and D'haes, W., “Using MusicXML in real-time applications”, in Proceedings of the 34th Euromicro conference on Software Engineering and Advanced Applications, Parma, Italy, September 3-5, 2008, pp. 29-30.
J. Gao, Liang, Z., Soper, D. E., Lai, H. - L., Nadolsky, P. M., and Yuan, C. - P., “MEKS: A program for computation of inclusive jet cross sections at hadron colliders”, Computer Physics Communications, vol. 184, no. 6, pp. 1626 - 1642, 2013.
R. Garimella, Peeters, T., Beyers, K., Truijen, S., Huysmans, T., and Verwulgen, S., “Capturing Joint Angles of the Off-Site Human Body”, in IEEE Sensors 2018, United States, 2018, pp. 1–4.
N. Garofil, “On the problem of uploading pdf files”. 2016.PDF icon testje.pdf (36.47 KB)
E. K. Ghasrodashti, Karami, A., Heylen, R., and Scheunders, P., “Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation”, Remote Sensing, vol. 9, no. 6, 2017.
P. Ghosh, 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.pdf (6.32 MB)
D. Giraldo, Sijbers, J., and Romero, E., “Quantification of cognitive impairment to characterize heterogeneity of patients at risk of developing Alzheimer's disease dementia”, Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 13, no. 1, p. e12237, 2021.
D. Giraldo, Beirinckx, Q., den Dekker, A. J., Jeurissen, B., and Sijbers, J., “Super-resolution reconstruction of multi-slice T2-w FLAIR MRI improves Multiple Sclerosis lesion segmentation”, in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, 2023.
D. Giraldo, Smith, R. E., Struyfs, H., Niemantsverdriet, E., De Roeck, E., Bjerke, M., Engelborghs, S., Romero, E., Sijbers, J., and Jeurissen, B., “Comparison of diffusion kurtosis tensor imaging and multi-tissue CSD for the investigation of group differences in Alzheimer’s disease”, in International Society of Magnetic Resonance in Medicine (ISMRM), Toronto, ON, Canada, 2023.PDF icon Poster presented at ISMRM-Benelux 2023 (5.88 MB)
D. Giraldo, Struyfs, H., Raffelt, D., Parizel, P. M., Engelborghs, S., Romero, E., Sijbers, J., and Jeurissen, B., “Fixel-Based Analysis of Alzheimer's Disease Using Multi-Tissue Constrained Spherical Deconvolution of Multi-Shell Diffusion MRI”, Proc. Intl. Soc. Mag. Reson. Med. 25. p. 400, 2017.
D. Giraldo, Smith, R. E., Struyfs, H., Niemantsverdriet, E., De Roeck, E., Bjerke, M., Engelborghs, S., Romero, E., Sijbers, J., and Jeurissen, B., “Investigating tissue-specific abnormalities in Alzheimer’s disease with multi-shell diffusion MRI”, Journal of Alzheimer's Disease, vol. 90, no. 4, pp. 1771-1791, 2022.
D. Giraldo, Khan, H., Pineda, G., Liang, Z., Lozano, A., Van Mijweersch, B., Woodruff, H. C., Lambin, P., Romero, E., Peeters, L. M., and Sijbers, J., “Perceptual super-resolution in multiple sclerosis MRI”, Frontiers in Neuroscience, In Press.

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