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G
Ganseman, J., P. Scheunders, and S. Dixon, "Imrpoving PLCA-based score-informed source separation with invertible constant-Q transform", EUSIPCO 2012, 20th European Signal Processing Conference, Bucharest, Romania, august 27-31 , pp. 2634-2638, 2012.
Ganseman, J., P. Scheunders, and W. D'haes, "Using XML-formatted scores in real-time applications", 10-th International Society for Music Information Retrieval Conference, pp. 663-668, Kobe, Japan, October 26-30, pp. 663-668, 2009.
Ganseman, J., P. Scheunders, and W. D'haes, "Using MusicXML in real-time applications", Proceedings of the 34th Euromicro conference on Software Engineering and Advanced Applications, Parma, Italy, September 3-5, pp. 29-30, 2008.
F
Fröhler, B., L. da Cunha Melo, J. Weissenböck, J. Kastner, T. Möller, H-C. Hege, E. Gröller, J. Sanctorum, J. De Beenhouwer, J. Sijbers, et al., "Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry", 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019. PDF icon Download paper (1.07 MB)
Fröhler, B., T. Elberfeld, T. Möller, J. Weissenböck, J. De Beenhouwer, J. Sijbers, H-C. Hege, J. Kastner, and C. Heinzl, "A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science", Computer Graphics Forum, vol. 38, issue 3, pp. 273-283, 2019.
Fröhler, B., T. Elberfeld, T. Möller, H-C. Hege, J. De Beenhouwer, J. Sijbers, J. Kastner, and C. Heinzl, "Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibers", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
Froeling, M., G.. J. Strijkers, B. Jeurissen, M. van der Paardt, J. Stoker, K. Nicolay, A. J. Nederveen, and A. Leemans, "Fiber architecture of the female pelvic floor: An exploratory investigation using different diffusion MRI tractography algorithms", ISMRM, 19th Scientific Meeting and Exhibition, Montreal, Canada, May, 2011.
Frenkel, D., J. De Beenhouwer, and J. Sijbers, "An adaptive probability map for the Discrete Algebraic Reconstruction Technique", 10th Conference on Industrial Computed Tomography (ICT 2020), 2020.
Fransen, E., R. Dhooghe, G. Van Camp, M. Verhoye, J. Sijbers, E. Reyniers, P. Soriano, H. Kamiguchi, R. Willemsen, K. E. Koekoek, et al., "L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patterns", Human Molecular Genetics, vol. 7, no. 6, pp. 999-1009, 1998. PDF icon Download paper (248.02 KB)
Fortes, W., J. Sijbers, and K. J. Batenburg, "Practical Error Bounds for Binary Tomography", 1st International Conference on Tomography of Materials and Structures, pp. 97-100, 2013. PDF icon Download paper (165.74 KB)
Forde, N. J., I. Ellison-Wright, P. J. Nathan, R. Zaman, R. Dudas, M. Agius, E. Fernandez-Egea, A. Leemans, B. Jeurissen, C. Scanlon, et al., "White Matter Tract Deficits in Schizophrenia", Neuroscience Ireland Conference, vol. 7, Dublin, Ireland, 2011.
Forde, N. J., S. O'Donoghue, C. Scanlon, L. Emsell, C. Chaddock, A. Leemans, B. Jeurissen, G. J. Barker, D. M. Cannon, R. M. Murray, et al., "Structural brain network analysis in families multiply affected with bipolar I disorder", Psychiatry Research: Neuroimaging, vol. 234, no. 1: Elsevier, pp. 44–51, 2015.
Forde, N. J., L. Ronan, J. Suckling, C. Scanlon, S. Neary, L. Holleran, A. Leemans, R. Tait, C. Rua, P. C. Fletcher, et al., "Structural neuroimaging correlates of allelic variation of the BDNF val66met polymorphism.", NeuroImage, vol. 90, pp. 280-9, 2014 Apr 15.
Forde, N. J., C. Scanlon, L. Emsell, S. O'Donoghue, C. Chaddock, A. Leemans, B. Jeurissen, D. M. Cannon, R. M. Murray, and C. McDonald, "Structural brain network analysis in families multiply affected with bipolar 1 disorder", International Review of Psychosis & Bipolarity, Athens, Greece, 2014.
Fillard, P., M. Descoteaux, A. Goh, S. Gouttard, B. Jeurissen, J. Malcolm, A. Ramirez-Manzanares, M. Reisert, K. Sakaie, F. Tensaouti, et al., "Quantitative Evaluation of 10 Tractography Algorithms on a Realistic Diffusion MR Phantom", NeuroImage, vol. 56, no. 1, pp. 220-234, May, 2011.
Fatermans, J., A J. den Dekker, and S. Van Aert, "Atom detection from electron microscopy images", RBSM 2019, Louvain-la-Neuve, Belgium, 2019.
Fatermans, J., A J. den Dekker, K. Müller-Caspary, I. Lobato, and S. Van Aert, "The maximum a posteriori probability rule to detect single atoms from low signal-to-noise ratio scanning transmission electron microscopy images", IMC19, Sydney, Australia, 2018.
Fatermans, J., A J. den Dekker, C. M. O'Leary, P. D. Nellist, and S. Van Aert, "Atom column detection from STEM images using the maximum a posteriori probability rule", MC 2019, Berlin, Germany, 2019.
Fatermans, J., A J. den Dekker, K. Müller-Caspary, I. Lobato, and S. Van Aert, "Bayesian analysis of noisy scanning transmission electron microscopy images for single atom detection", SCANDEM 2018, Technical University of Denmark, Kgs. Lyngby, Denmark, 2018.
Fatermans, J., A J. den Dekker, K.. Müller-Caspary, I. Lobato, C.. M. O'Leary, P. D. Nellist, and S. Van Aert, "Single Atom Detection from Low Contrast-to-Noise Ratio Electron Microscopy Images", Phys. Rev. Lett., vol. 121, pp. 056101, Jul, 2018.
Fatermans, J., K. Müller-Caspary, A J. den Dekker, and S. Van Aert, "Detection of atomic columns from noisy STEM images", MC 2017, Lausanne, Switzerland, 2017.
Fatermans, J., S. Van Aert, and A J. den Dekker, "The maximum a posteriori probability rule for atom column detection from HAADF STEM images", Ultramicroscopy, vol. 201, pp. 81-91, 2019.
Fatermans, J., S. Van Aert, and A J. den Dekker, "Bayesian model-order selection in electron microscopy to detect atomic columns in noisy images", RBSM 2016, Brussels, Belgium, 2016.
Fatermans, J., "Quantitative atom detection from atomic-resolution transmission electron microscopy images", Department of Physics, vol. Doctor of Science/Physics, 2019. PDF icon Download thesis (29.73 MB)

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