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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, 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., 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.
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.
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.
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. 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.
E. Fransen, Dhooghe, R., Van Camp, G., Verhoye, M., Sijbers, J., Reyniers, E., Soriano, P., Kamiguchi, H., Willemsen, R., Koekoek, K. E., Zeeuw, D. C. I., De Deyn, P. P., Van Der Linden, A., Lemmon, V., Kooy, R. F., and Willems, P. J., L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patterns, Human Molecular Genetics, vol. 7, pp. 999-1009, 1998.PDF icon Download paper (248.02 KB)
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)
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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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, 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, 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., 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, 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., Atom-counting in High Resolution Electron Microscopy: TEM or STEM - that’s the question, Ultramicroscopy, vol. 147, pp. 112–120, 2017.
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.
P. Gosh, 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_author_version_to_upload.pdf (14.65 MB)
J. Goyens, Vasilopoulou-Kampitsi, M., Claes, R., Sijbers, J., and Mancini, L., Enhanced contrast in X-ray microtomographic images of the membranous labyrinth using different X-ray sources and scanning modes, Journal of Anatomy, vol. 233, p. 770--782, 2018.PDF icon Download paper (1.44 MB)
J. Grammens, Van Haver, A., Lumban-Gaol, I., Danckaers, F., Verdonck, P., and Sijbers, J., Automated landmark annotation for morphometric analysis of distal femur and proximal tibia, Journal of Imaging, vol. 10, no. 4, 2024.
J. Grammens, Van Haver, A., Danckaers, F., Booth, B. G., Sijbers, J., and Verdonk, P., Small medial femoral condyle morphotype is associated with medial compartment degeneration and distinct morphological characteristics: a comparative pilot study, Knee Surgery, Sports Traumatology, Arthroscopy, no. 686 , 2020.

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