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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, 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, 2023.
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, Computational anatomy strategies for characterization of brain patterns associated with Alzheimer's disease, 2022.PDF icon Download PhD thesis (25.92 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.
J. Gonnissen, De Backer, A., den Dekker, A. J., Martinez, G. T., Rosenauer, A., Sijbers, J., and Van Aert, S., Optimal experimental design for the detection of light atoms from high-resolution scanning transmission electron microscopy images, Applied Physics Letters, vol. 105, no. 063116, 2014.
J. Gonnissen, De Backer, A., den Dekker, A. J., Sijbers, J., and Van Aert, S., Detecting and locating light atoms from high-resolution STEM images: the quest for a single optimal design Ultramicroscopy, Ultramicroscopy, vol. 170, pp. 128-138, 2016.
J. Gonnissen, Optimal statistical experiment design for detecting and locating light atoms using quantitative high resolution (scanning) transmission electron microscopy, 2017.PDF icon Download thesis (8.1 MB)
J. Gonnissen, De Backer, A., den Dekker, A. J., Sijbers, J., and Van Aert, S., Atom-counting in High Resolution Electron Microscopy: TEM or STEM - that’s the question, Ultramicroscopy, vol. 147, pp. 112–120, 2017.
B. Goris, De Beenhouwer, J., De Backer, A., Zanaga, D., Batenburg, K. J., Sánchez-Iglesias, A., Liz-Marzán, L. M., Van Aert, S., Sijbers, J., Van Tendeloo, G., and Bals, S., Investigating lattice strain in Au nanodecahedrons, European Microscopy Congress 2016. 2016.
B. Goris, Roelandts, T., Batenburg, K. J., Heidari Mezerji, H., and Bals, S., Advanced reconstruction algorithms for electron tomography: from comparison to combination, Ultramicroscopy, vol. 127, pp. 40–47, 2013.
B. Goris, De Beenhouwer, J., De Backer, A., Zanaga, D., Batenburg, K. J., Sánchez-Iglesias, A., Liz-Marzán, L. M., Van Aert, S., Bals, S., Sijbers, J., and Van Tendeloo, G., Measuring Lattice Strain in Three Dimensions through Electron Microscopy, Nano Letters, vol. 15, no. 10, pp. 6996–7001, 2015.

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