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2014
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “Dynamic Angle Selection in X-ray Computed Tomography”, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 324, pp. 17-24, 2014.
A. Van Tongel, Huysmans, T., Bernat, A., Piepers, I., Sijbers, J., Van Glabbeek, F., and De Wilde, L., “Evaluation of prominence of straight plates and precontoured clavicle plates using automated plate-to-bone fitting”, Acta Orthopaedica Belgica, vol. 80, no. 3, pp. 301-308, 2014.PDF icon Download paper (582.85 KB)
K. J. Batenburg, Sijbers, J., and Plantagie, L., “Filter for Tomographic Reconstructions”, U.S. Patent WO2013011031A12014.
M. A. Akhter, Heylen, R., and Scheunders, P., “Geometric matched filter for hyperspectral partial unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
O. Melet, Huysmans, T., Hummel, M., and Brunet, P. - M., “GPGPU and MIC in accelerated cluster for remote sensed image processing software”, in Conference on Big Data from Space (BiDS), 12-14 November, ESRIN, Frascati, Italy, 2014.PDF icon paper (158.32 KB)
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Noise Reduction and its Effect on Spectral Unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Noise Reduction and its Effect on Spectral Unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
R. Heylen and Scheunders, P., “Hyperspectral unmixing using an active set algorithm”, in IEEE ICIP 2014, International Conference on Image Processing, October 27-30, Paris, France , 2014.
T. Roine, Jeurissen, B., Philips, W., Leemans, A., and Sijbers, J., “Improving fiber orientation estimation in constrained spherical deconvolution under non-white matter partial volume effects”, Proceedings of the Joint Annual Meeting ISMRM–ESMRMB. p. 4492, 2014.PDF icon 4492.pdf (574.06 KB)
C. Van Dijck, Wirix-Speetjens, R., Huysmans, T., Danckaers, F., Sijbers, J., and Vander Sloten, J., “Influence of Correspondence Method on Statistical Model Based Shape Prediction”, in IEEE International Symposium on Biomedical Imaging (ISBI), 2014.PDF icon isbi2014_abstract.pdf (250.1 KB)PDF icon isbi2014_poster.pdf (1.8 MB)
C. Van Dijck, Wirix-Speetjens, R., Huysmans, T., Danckaers, F., Sijbers, J., and Vander Sloten, J., “Influence of Correspondence Method on Statistical Model Based Shape Prediction”, Symposium on Statistical Shape Models and Applications, Delémont, Switzerland. 2014.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W., and Sijbers, J., “Isotropic non-white matter partial volume effects in constrained spherical deconvolution”, Frontiers in Neuroinformatics, vol. 8, pp. 1-9, 2014.PDF icon Download paper (1.79 MB)
T. Roine, Jeurissen, B., Philips, W., Leemans, A., and Sijbers, J., “Isotropic non-white matter partial volume effects in constrained spherical deconvolution”, Sixth Annual Meeting of the Benelux ISMRM Chapter. 2014.
R. Riji, Rajan, J., Sijbers, J., and Nair, M. S., “Iterative bilateral filter for Rician noise reduction in MR images”, Signal, Image and Video Processing , 2014.
G. Ramos-Llordén, den Dekker, A. J., and Sijbers, J., “Joint motion correction and estimation for T1 mapping: proof of concept”, Medical Imaging Summer School 2014, Favignana, Italy. 2014.
G. Van Eyndhoven, Batenburg, K. J., and Sijbers, J., “A local enhancement based tomographic reconstruction technique for radiation exposure reduction in cerebral perfusion computed tomography”, European Congress of Radiology 2014 (ECR 2014). 2014.
W. Van den Broek, Rosenauer, A., Sijbers, J., Van Dyck, D., and Van Aert, S., “A memory efficient method for fully three-dimensional object reconstruction with HAADF STEM Ultramicroscopy”, Ultramicroscopy, vol. 141, pp. 22–31, 2014.
A. Dabravolski, Batenburg, K. J., and Sijbers, J., “A Multiresolution Approach to Discrete Tomography Using DART”, PLoS ONE, vol. 9, no. 9, 2014.PDF icon Download paper (6.13 MB)
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.

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