Publications
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“Correction of DWI gradient orientations using registration techniques”, 3rd meeting of the ISMRM Benelux Chapter, Hoeven, The Netherlands. 2011.
, “Processing multi-shell diffusion MRI data using MRtrix3”, Belgian Neuroinformatics Congress. Frontiers in Neuroinformatics, 2015.
, “Brain Tissue Types Resolved Using Spherical Deconvolution of Multi-Shell Diffusion MRI Data”, ISMRM, 22nd Scientific Meeting and Exhibition. Milan, Italy, p. 973, 2014.
, “Automated correction of improperly rotated diffusion gradient orientations in diffusion-weighted MRI”, Medical Image Analysis, vol. 18, pp. 953-962, 2014.
, “Fiber Tractography on a Crossing Fiber Phantom using Constrained Spherical Deconvolution MRI”, Liège Image Days. Liège, Belgium, 2008.
, “Diffusion MRI fiber tractography of the brain”, NMR in Biomedicine, 2019.
, “Improved analysis of brain connectivity using high angular resolution diffusion MRI”, University of Antwerp, 2012. Download thesis book (35.42 MB)
, “Fiber Tracking on the 'Fiber Cup Phantom' using Constrained Spherical Deconvolution”, in MICCAI workshop on Diffusion Modelling and the Fiber Cup (DMFC'09), London, United Kingdom, 2009.
, “Diffusion-weighted imaging reveals structural brain changes in cosmonauts after long-duration spaceflight”, 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine & Biology, Rotterdam, The Netherlands, vol. 32 (Suppl. 1). p. Magn Reson Mater Phy. 2019; 32(Suppl. 1):S101, 2019.
, “The impact of long-duration spaceflight on brain structure and function”, University of Antwerp, 2021.
, “Diffusion MRI reveals macro- and microstructural changes in cosmonauts' brains after long-duration spaceflight”, Proc Intl Soc Mag Reson Med 28. p. 4531, 2020.
, “Macro- and microstructural changes in cosmonauts’ brains after long-duration spaceflight”, Science Advances, vol. 6, no. 36, p. eaaz9488, 2020. Download paper (942.53 KB)
, “Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity”, Communications Biology, vol. 6, no. 46, 2023.
, “Just enough physics”, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.
, “Classification of soft tissue tumors in MRI images using kernel PCA and regularized least square classifier”, in Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Anaheim, CA, USA, 2007, pp. 362–367.
, “Bias Field Correction for MRI Images”, in Proceedings of the 4th International Conference on Computer Recognition Systems (CORES05), Rydzyna Castle, Poland, 2005, pp. 543-551.
, “A Machine Learning Study of Several Classifiers Trained with Texture Analysis Features to Differentiate Benign from Malignant Soft Tissue Tumors in T1-MRI Images”, Journal of Magnetic Resonance Imaging, vol. 31, pp. 680–689, 2010. Download paper (300.61 KB)
, “Classification of Soft Tissue Tumors by Machine Learning Algorithms”, in Soft Tissue Tumors, InTech, 2011. Book.Chapter-Copy.Sent_.to_.InTech-(21.07.2011).pdf (732.07 KB)
, “Machine Vision of Flotation Froths with a Rapid-Prototyping Platform”, in IFAC Workshop on Automation in Mining, Mineral and Metal Industry (IFACMMM2009), 2009.
, “Hyperspectral Image Compression based on Tucker Decomposition and Wavelet Transform”, WHISPERS . Lisbon, Portugal, 2011.
, “Denoising Of Hyperspectral Images Using Shearlet Transform And Fully Constrained Least Squares Unmixing”, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.
, “Compression and Noise Reduction of Hyperspectral Images using Tucker Decomposition and Discrete Wavelet Transform”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 2, 2012.
, “Application of RGA to Optimal Choice and Allocation of UPFC for Voltage Security Enhancement in Deregulated Power System”, WSEAS International Conference on Energy & Environmental Systems. 2006.
, “Hyperspectral Image Compression Using 3d Discrete Cosine Transform and Support Vector Machine Learning”, International Conference on Information Science, Signal Processing and their Applications . Montreal, Canada, 2012.
“Noise Reduction of Hyperspectral Images Using Kernel Nonnegative Tucker Decomposition”, IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, 2011.
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