Publications

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Book Chapter
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Eight - General conclusions and future perspectives, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Five - Optimal experiment design for nanoparticle atom counting from ADF STEM images, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Four - Atom counting, in Advances in Imaging and Electron Physics,, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter One - Introduction, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
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, 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.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Three - Efficient fitting algorithm, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., Chapter Two - Statistical parameter estimation theory: principles and simulation studies, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
Conference Abstract
S. Hosseinnejad, Bosch, E. G. T., Kohr, H., Lazić, I., Zharinov, V., Franken, E., Sijbers, J., and De Beenhouwer, J., 3D atomic resolution tomography from iDPC-STEM images using multiple atom model prior, Microscopy Conference. 2021.PDF icon Download abstract (534.35 KB)
S. Van Aert, De Backer, A., De wael, A., Fatermans, J., Friedrich, T., Lobato, I., O'Leary, C. M., Varambhia, A., Altantzis, T., Jones, L., den Dekker, A. J., Nellist, P. D., and Bals, S., 3D Atomic Scale Quantification of Nanostructures and their Dynamics Using Model-based STEM, Microscopy & Microanalysis 2020 (online), Milwaukee, United States. 2020.
S. Van Aert, De Backer, A., De wael, A., Fatermans, J., Friedrich, T., Lobato, I., O'Leary, C. M., Varambhia, A., Altantzis, T., Jones, L., den Dekker, A. J., Nellist, P. D., and Bals, S., 3D Atomic Scale Quantification of Nanostructures and their Dynamics Using Model-based STEM, Microscopy & Microanalysis 2020 (online), Milwaukee, United States. 2020.
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, 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, 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., 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, 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, 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.
P. Van Dyck, De Smet, E., Froeling, M., Verdonk, P., Torfs, M., Pullens, P., Sijbers, J., Parizel, P. M., and Jeurissen, B., Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft, Proc. Intl. Soc. Mag. Reson. Med. 25. p. 377, 2017.
N. Francken, Paramonov, P., Sijbers, J., and De Beenhouwer, J., Edge Illumination Phase Contrast Simulations Using the OptiX GPU Ray Tracing Engine, 5th International Conference on Tomography of Materials & Structures (ICTMS). 2022.
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. Jeurissen, Leemans, A., Fieremans, E., and Sijbers, J., Fiber Tractography on a Crossing Fiber Phantom using Constrained Spherical Deconvolution MRI, Liège Image Days. Liège, Belgium, 2008.
J. Veraart, Knoll, F., Sijbers, J., Fieremans, E., and Novikov, D. S., Gibbs ringing removal in diffusion MRI using second order total variation minimization, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2809, 2015.PDF icon Download abstract (1.1 MB)
B. Auer, Kalluri, K., De Beenhouwer, J., Zeraatkar, N., Könik, A., Kuo, P. H., Furenlid, L. R., and King, M. A., Investigation of keel versus knife edge pinhole profiles for a next-generation SPECT system dedicated to clinical brain imaging, 2nd International Conference on Monte Carlo Techniques for Medical Applications. 2019.
S. Van Aert, Fatermans, J., De Backer, A., van den Bos, K. H. W., O'Leary, C. M., Müller-Caspary, K., Jones, L., Lobato, I., Béché, A., den Dekker, A. J., Bals, S., and Nellist, P. D., Maximising dose efficiency in quantitative STEM to reveal the 3D atomic structure of nanomaterials, IMC19, Sydney, Australia. 2018.
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.

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