Publications

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F
N. Francken, Sanctorum, J., Paramonov, P., Sijbers, J., and De Beenhouwer, J., “Edge illumination x-ray phase contrast simulations using the CAD-ASTRA toolbox”, Optics Express, vol. 32, no. 6, pp. 10005-10021, 2024.
W. Fortes, Sijbers, J., and Batenburg, K. J., “Practical Error Bounds for Binary Tomography”, in 1st International Conference on Tomography of Materials and Structures, 2013, pp. 97-100.PDF icon Download paper (165.74 KB)
N. J. Forde, Scanlon, C., Emsell, L., O'Donoghue, S., Chaddock, C., Leemans, A., Jeurissen, B., Cannon, D. M., Murray, R. M., and McDonald, C., “Structural brain network analysis in families multiply affected with bipolar 1 disorder”, International Review of Psychosis & Bipolarity. Athens, Greece, 2014.
N. J. Forde, Ellison-Wright, I., Nathan, P. J., Zaman, R., Dudas, R., Agius, M., Fernandez-Egea, E., Leemans, A., Jeurissen, B., Scanlon, C., McDonald, C., and Cannon, D. M., “White Matter Tract Deficits in Schizophrenia”, Neuroscience Ireland Conference, vol. 7. Dublin, Ireland, 2011.
N. J. Forde, O'Donoghue, S., Scanlon, C., Emsell, L., Chaddock, C., Leemans, A., Jeurissen, B., Barker, G. J., Cannon, D. M., Murray, R. M., and others, “Structural brain network analysis in families multiply affected with bipolar I disorder”, Psychiatry Research: Neuroimaging, vol. 234, pp. 44–51, 2015.
N. J. Forde, Ronan, L., Suckling, J., Scanlon, C., Neary, S., Holleran, L., Leemans, A., Tait, R., Rua, C., Fletcher, P. C., Jeurissen, B., Dodds, C. M., Miller, S. R., Bullmore, E. T., McDonald, C., Nathan, P. J., and Cannon, D. M., “Structural neuroimaging correlates of allelic variation of the BDNF val66met polymorphism.”, NeuroImage, vol. 90, pp. 280-9, 2014.
P. Fillard, Descoteaux, M., Goh, A., Gouttard, S., Jeurissen, B., Malcolm, J., Ramirez-Manzanares, A., Reisert, M., Sakaie, K., Tensaouti, F., Yo, T. - S., Mangin, J. - F., and Poupon, C., “Quantitative Evaluation of 10 Tractography Algorithms on a Realistic Diffusion MR Phantom”, NeuroImage, vol. 56, pp. 220-234, 2011.
J. Fatermans, Van Aert, S., and den Dekker, A. J., “The maximum a posteriori probability rule for atom column detection from HAADF STEM images”, Ultramicroscopy, vol. 201, pp. 81-91, 2019.
J. Fatermans, den Dekker, A. J., O'Leary, C. M., Nellist, P. D., and Van Aert, S., “Atom column detection from STEM images using the maximum a posteriori probability rule”, MC 2019, Berlin, Germany. 2019.
J. Fatermans, Van Aert, S., and den Dekker, A. J., “Bayesian model-order selection in electron microscopy to detect atomic columns in noisy images”, RBSM 2016, Brussels, Belgium. p. 53, 2016.
J. Fatermans, den Dekker, A. J., Gauquelin, N., Verbeeck, J., and Van Aert, S., “Bayesian model selection for atom column detection from ABF-ADF STEM images”, Virtual Early Career EMC 2020 (online), Copenhagen, Denmark. 2020.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Lobato, I., and Van Aert, S., “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.
J. Fatermans, De Backer, A., den Dekker, A. J., and Van Aert, S., “Chapter Seven - Image-quality evaluation and model selection with maximum a posteriori probability”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Lobato, I., O'Leary, C. M., Nellist, P. D., and Van Aert, S., “Single Atom Detection from Low Contrast-to-Noise Ratio Electron Microscopy Images”, Phys. Rev. Lett., vol. 121, p. 056101, 2018.
J. Fatermans, “Quantitative atom detection from atomic-resolution transmission electron microscopy images”, 2019.PDF icon Download thesis (29.73 MB)
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Lobato, I., and Van Aert, S., “Bayesian analysis of noisy scanning transmission electron microscopy images for single atom detection”, SCANDEM 2018, Technical University of Denmark, Kgs. Lyngby, Denmark. p. 95, 2018.
J. Fatermans, den Dekker, A. J., and Van Aert, S., “Atom detection from electron microscopy images”, RBSM 2019, Louvain-la-Neuve, Belgium. p. 15, 2019.
J. Fatermans, Müller-Caspary, K., den Dekker, A. J., and Van Aert, S., “Detection of atomic columns from noisy STEM images”, Microscopy Conference 2017 (MC 2017), Lausanne, Switzerland. pp. 445-446, 2017.
J. Fatermans, De Backer, A., den Dekker, A. J., and Van Aert, S., “Chapter Six - Atom column detection”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Gauquelin, N., Verbeeck, J., and Van Aert, S., “Atom column detection from simultaneously acquired ABF and ADF STEM images”, Ultramicroscopy, vol. 219, p. 113046, 2020.
E
L. Emsell, Leemans, A., Langan, C., Van Hecke, W., Barker, G. J., McCarthy, P., Jeurissen, B., Sijbers, J., Sunaert, S., Cannon, D. M., and McDonald, C., “Limbic and callosal white matter changes in euthymic bipolar I disorder: an advanced diffusion MRI tractography study”, Biologicial Psychiatry, vol. 73, no. 2, pp. 194-201, 2013.
T. Elberfeld, De Beenhouwer, J., den Dekker, A. J., Heinzl, C., and Sijbers, J., “Parametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images”, 8th Conference on Industrial Computed Tomography. Wels, Austria, 2018.PDF icon Download paper (636.09 KB)
T. Elberfeld, De Beenhouwer, J., and Sijbers, J., “Fiber assignment by continuous tracking for parametric fiber reinforced polymer reconstruction”, in 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), 2019, vol. 11072.PDF icon Download paper (5.15 MB)
T. Elberfeld, De Beenhouwer, J., den Dekker, A. J., Heinzl, C., and Sijbers, J., “Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data - A Simulation Study”, Journal of Nondestructive Evaluation, vol. 37, no. 62, pp. 1573-4862, 2018.
T. Elberfeld, Bazrafkan, S., De Beenhouwer, J., and Sijbers, J., “Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images”, 4th International Conference on Tomography of Materials & Structures. 2019.

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