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A. Dabravolski, Batenburg, K. J., and Sijbers, J., A multiresolution approach to the Discrete Algebraic Reconstruction Technique (DART), 2nd International Congress on 3D Materials Science. 2014.PDF icon Download abstract (59.52 KB)PDF icon Download presentation (1.72 MB)
B. Jeurissen, Tournier, J. - D., Dhollander, T., Connelly, A., and Sijbers, J., Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data, NeuroImage, vol. 103, pp. 411–426, 2014.
H. K. Jenssen, Oberlander, B. C., De Beenhouwer, J., Sijbers, J., and Verwerft, M., Neutron radiography and tomography applied to fuel degradation during ramp tests and loss of coolant accident tests in a research reactor, Progress in Nuclear Energy, vol. 72, pp. 55-62, 2014.
J. Rajan, den Dekker, A. J., and Sijbers, J., A new non local maximum likelihood estimation method for Rician noise reduction in Magnetic Resonance images using the Kolmogorov-Smirnov test, Signal Processing, vol. 103, pp. 16-23, 2014.
R. Heylen, Scheunders, P., Rangarajan, A., and Gader, P., Nonlinear unmixing by using non-Euclidean metrics in a linear unmixing chain, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
D. Perrone, Aelterman, J., Jeurissen, B., Pizurica, A., Philips, W., and Sijbers, J., A Novel Method for Realistic DWI Data Generation, International Society for Magnetic Resonance in Medicine, vol. 22. Milan, Italy, p. 4427, 2014.
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. Veraart and Sijbers, J., Post-processing of diffusion-weighted MR data lowers the accuracy of the weighted linear least squares estimator , Proceedings of the International Society for Magnetic Resonance in Medicine, vol. 22. p. 2573, 2014.PDF icon Download abstract (556.84 KB)
T. Roelandts, Batenburg, K. J., den Dekker, A. J., and Sijbers, J., The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography, Computer Vision and Image Understanding, vol. 126, pp. 28-37, 2014.PDF icon Download paper (4.58 MB)
C. M. W. Tax, Jeurissen, B., Vos, S. B., Viergever, M. A., and Leemans, A., Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data., NeuroImage, vol. 86, pp. 67-80, 2014.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., Region-based iterative reconstruction of structurally changing objects in CT, IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 909-919, 2014.
G. Van Eyndhoven, Batenburg, K. J., Oers, C. V., Kurttepeli, M., Bals, S., Cool, P., and Sijbers, J., Reliable Pore-size Measurements Based on a Procedure Specifically Designed for Electron Tomography Measurements of Nanoporous Samples, International Congress on 3D Materials Science 2014 . 2014.
J. - P. Jacobs, Thoonen, G., Tuia, D., Camps-Valls, G., Kempeneers, P., and Scheunders, P., Spectral adaptation of hyperspectral flight lines using VHR contextual information, in Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, Quebec City, QC, Canada, 2014, pp. 2953-2956.
D. Burazerovic, Heylen, R., Raymaekers, D., Knaeps, E., and Scheunders, P., A spectral-unmixing approach to estimate water-mass concentrations in case-II waters, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, 2014.
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, 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.
W. Van Aarle, Batenburg, K. J., Van Gompel, G., Van de Casteele, E., and Sijbers, J., Super-resolution for computed tomography based on discrete tomography, IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1181 - 1193, 2014.PDF icon Download paper (2.24 MB)
G. Van Steenkiste, Jeurissen, B., Parizel, P. M., Poot, D. H. J., and Sijbers, J., Super-resolution reconstruction of diffusion parameters from multi-oriented diffusion weighted images, ISMRM, 22nd Scientific Meeting and Exhibition. Milan, Italy, 2014.
G. Van Steenkiste, Jeurissen, B., Poot, D. H. J., Parizel, P. M., and Sijbers, J., Super-resolution reconstruction of diffusion parameters from multi-oriented diffusion weighted images, 6th meeting of the ISMRM Benelux chapter. Maastricht, The Netherlands, 2014.
J. Cant, Palenstijn, W. J., Behiels, G., and Sijbers, J., Tomographic image reconstruction from continuous projections, in The third international conference on image formation in X-ray computed tomography, Salt Lake City, USA, 2014, pp. 295-298.PDF icon Download paper (2.38 MB)
H. N. B. Pinheiro, Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., Type-2 fuzzy GMMs for robust text-independent speaker verification in noisy environments, in International Conference of Pattern Recognition, 2014.