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“Bootstrap methods for estimating uncertainty in Constrained Spherical Deconvolution fiber orientations”, ISMRM, 16th Scientific Meeting and Exhibition. Toronto, Canada, p. 3324, 2008.
, “Assessing the implications of complex fiber configurations for DTI metrics in real data sets”, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3584, 2012.
, “Multi-tissue spherical deconvolution of tensor-valued diffusion MRI.”, Neuroimage, vol. 245, p. 118717, 2021.
, “Registration based correction of DWI gradient orientations”, ISMRM, 19th Scientific Meeting and Exhibition. Montreal, Canada, 2011.
, “Processing multi-shell diffusion MRI data using MRtrix3”, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 2015.
, “Can residual bootstrap reliably estimate uncertainty in fiber orientation obtained by spherical deconvolution from diffusion-weighted MRI?”, 14th Annual Meeting of the Organization of Human Brain Mapping, vol. 41. Melbourne, Australia, 2008.
, “HARDI-based methods for fiber orientation estimation”, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3585, 2012.
, “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.
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“Correction of DWI gradient orientations using registration techniques”, 3rd meeting of the ISMRM Benelux Chapter, Hoeven, The Netherlands. 2011.
, “Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data”, NeuroImage, vol. 103, pp. 411–426, 2014.
, “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.
, “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.
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“Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution”, Human Brain Mapping, vol. 32, no. 3, pp. 461 - 479, 2011.
, “Tracking Off the Beaten Track”, ISMRM 28th Annual Meeting & Exhibition. Sydney, Australia, p. e975, 2020.
, “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.
, “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.
, “Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity”, Communications Biology, vol. 6, no. 46, 2023.
, “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.
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“Just enough physics”, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.
, “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)
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“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 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.
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