Publications
“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.
, “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)
, “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 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.
, “Just enough physics”, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.
, “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)
, “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.
, “Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity”, Communications Biology, vol. 6, no. 46, 2023.
, “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.
, “Assessing inter-subject variability of white matter response functions used for constrained spherical deconvolution”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 2834, 2015. Download abstract (780.16 KB)
, “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.
, “HARDI-based methods for fiber orientation estimation”, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3585, 2012.
, “Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data”, NeuroImage, vol. 103, pp. 411–426, 2014.
, “Diffusion MRI fiber tractography of the brain”, NMR in Biomedicine, 2019.
, “Fiber Tractography on a Crossing Fiber Phantom using Constrained Spherical Deconvolution MRI”, Liège Image Days. Liège, Belgium, 2008.
, “Super-resolution for spherical deconvolution of multi-shell diffusion MRI data”, Proc Intl Soc Mag Reson Med 26. p. 36, 2018.
, “Registration based correction of DWI gradient orientations”, ISMRM, 19th Scientific Meeting and Exhibition. Montreal, Canada, 2011.
, “Tissue-type segmentation using non-negative matrix factorization of multi-shell diffusion-weighted MRI images”, ISMRM 23th Annual Meeting, Toronto, Ontario, Canada, vol. 23. p. 349, 2015. Download abstract (1.11 MB)
, “Probabilistic Fiber Tracking using the Residual Bootstrap with Constrained Spherical Deconvolution MRI”, ISMRM, 17th Scientific Meeting and Exhibition. Honolulu, USA, 2009.
, “Improved analysis of brain connectivity using high angular resolution diffusion MRI”, University of Antwerp, 2012. Download thesis book (35.42 MB)
, “Automated correction of improperly rotated diffusion gradient orientations in diffusion-weighted MRI”, Medical Image Analysis, vol. 18, pp. 953-962, 2014.
, “Spherical deconvolution of diffusion MRI data with tensor-valued encodings”, Proc Intl Soc Mag Reson Med 26. p. 1559, 2018.
, “Correction of DWI gradient orientations using registration techniques”, 3rd meeting of the ISMRM Benelux Chapter, Hoeven, The Netherlands. 2011.
, “How to make sure you are using the correct gradient orientations in your diffusion MRI study?”, ISMRM, 21st Scientific Meeting and Exhibition. Salt Lake City, USA, p. 2047, 2013.
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