Publications

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D
Distante, C., J. Blanc-Talon, W. Philips, D. Popescu, and P. Scheunders, "ACIVS 2016, Advanced Concepts for Intelligent Vision Systems", Lecture Notes in Computer Science, vol. 10016, 2016.
Dox, T., R. Heylen, and P. Scheunders, "Spectral variability in a multilinear mixing model", IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
Driesen, J., and P. Scheunders, "Wavelet based Filter Array Demosaicking", Proc. ICIP2004, IEEE International Conference on Image Processing, 24-27 october, Singapore, pp. 3311-3314, 2004.
Driesen, J., and P. Scheunders, "Wavelet based segmentation of multivalued images", SPIE Optics East, 23-26 October, Boston, Massachusetts USA, vol. 6001, no. 2, pp. 13-22, 2005.
Driesen, J., and P. Scheunders, "Wavelet based segmentation of multi-component images", IEEE BENELUX/DSP Valley Signal Processing Symposium (SPS-DARTS) March 28-29, Antwerp, Belgium, pp. 151-154, 2006.
Driesen, J., G. Thoonen, and P. Scheunders, "Spatial hyperspectral image classification by prior segmentation", Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009, vol. 3, Cape Town, South Africa, pp. III-709 - III-712, July, 2009.
Driesen, J., and P. Scheunders, "A Multicomponent Image Segmentation Framework", Lecture Notes in Computer Science, vol. 5259, pp. 589-600, 2008.
Duijster, A., P. Scheunders, and S. De Backer, "Wavelet-Based EM Algorithm for Multispectral-Image Restoration", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3892-3898, November, 2009.
Duijster, A., S. De Backer, and P. Scheunders, "Multicomponent image restoration, an experimental study", Lecture Notes in Computer Science, vol. 4633, pp. 58-68, 2007.
Duijster, A., S. De Backer, and P. Scheunders, "Wavelet-based Multispectral Image Restoration", IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, vol. 3: IEEE International, pp. 79-82, 2008.
Duijster, A., S. De Backer, and P. Scheunders, "Wavelet-based Multicomponent Image Restoration", Wavelet Applications in Industrial Processing V, part of SPIE Optics East, Boston, MA, United States, September 9-12, vol. 6763, October, 2007.
E
Elberfeld, T., S. Bazrafkan, J. De Beenhouwer, and J. Sijbers, "Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images", 4th International Conference on Tomography of Materials & Structures, 07/2019.
Elberfeld, T., J. De Beenhouwer, and J. Sijbers, "Fiber assignment by continuous tracking for parametric fiber reinforced polymer reconstruction", 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), vol. 11072, 2019. PDF icon Download paper (5.15 MB)
Elberfeld, T., J. De Beenhouwer, A J. den Dekker, C. Heinzl, and J. Sijbers, "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)
Elberfeld, T., J. De Beenhouwer, A J. den Dekker, C. Heinzl, and J. Sijbers, "Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data - A Simulation Study", Journal of Nondestructive Evaluation, vol. 37, issue 62, pp. 1573-4862, Jul, 2018.
Emsell, L., A. Leemans, C. Langan, W. Van Hecke, G. J. Barker, P. McCarthy, B. Jeurissen, J. Sijbers, S. Sunaert, D. M. Cannon, et al., "Limbic and callosal white matter changes in euthymic bipolar I disorder: an advanced diffusion MRI tractography study", Biologicial Psychiatry, vol. 73, issue 2, pp. 194-201, 2013.
F
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., 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., 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, "Bayesian model-order selection in electron microscopy to detect atomic columns in noisy images", RBSM 2016, Brussels, Belgium, 2016.
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.
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.

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