Publications

Export 1334 results:
[ Author(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
J
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., “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.
B. Jeurissen, Ramos-Llordén, G., Vanhevel, F., Parizel, P. M., and Sijbers, J., “Super-resolution for spherical deconvolution of multi-shell diffusion MRI data”, Proc Intl Soc Mag Reson Med 26. p. 36, 2018.
B. Jeurissen, Naeyaert, M., Leemans, A., and Sijbers, J., “Correction of DWI gradient orientations using registration techniques”, 3rd meeting of the ISMRM Benelux Chapter, Hoeven, The Netherlands. 2011.
B. Jeurissen, Westin, C. - F., Sijbers, J., and Szczepankiewicz, F., “Improved precision and accuracy in q-space trajectory imaging by model-based super-resolution reconstruction”, Proc Intl Soc Mag Reson Med 27. p. 556, 2019.
B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., “Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution”, Human Brain Mapping, vol. 32, no. 3, pp. 461 - 479, 2011.
B. Jeurissen, Leemans, A., Fieremans, E., and Sijbers, J., “Fiber Tractography on a Crossing Fiber Phantom using Constrained Spherical Deconvolution MRI”, Liège Image Days. Liège, Belgium, 2008.
B. Jeurissen and Szczepankiewicz, F., “Spherical deconvolution of diffusion MRI data with tensor-valued encodings”, Proc Intl Soc Mag Reson Med 26. p. 1559, 2018.
B. Jeurissen, “Processing multi-shell diffusion MRI data using MRtrix3”, Belgian Neuroinformatics Congress. Frontiers in Neuroinformatics, 2015.
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., “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.
B. Jeurissen, Tournier, J. - D., Dhollander, T., Connelly, A., and Sijbers, J., “Brain Tissue Types Resolved Using Spherical Deconvolution of Multi-Shell Diffusion MRI Data”, ISMRM, 22nd Scientific Meeting and Exhibition. Milan, Italy, p. 973, 2014.
B. Jeurissen, Leemans, A., Jones, D. K., Tournier, J. - D., and Sijbers, J., “Counting the number of fiber orientations in diffusion MRI voxels using constrained spherical deconvolution”, 2nd meeting of the ISMRM Benelux Chapter. Utrecht, The Netherlands, 2010.
B. Jeurissen, Leemans, A., and Sijbers, J., “Automated correction of improperly rotated diffusion gradient orientations in diffusion-weighted MRI”, Medical Image Analysis, vol. 18, pp. 953-962, 2014.
B. Jeurissen, Descoteaux, M., Mori, S., and Leemans, A., “Diffusion MRI fiber tractography of the brain”, NMR in Biomedicine, 2019.
B. Jeurissen, “Improved analysis of brain connectivity using high angular resolution diffusion MRI”, University of Antwerp, 2012.PDF icon Download thesis book (35.42 MB)
S. Jillings, Van Ombergen, A., Tomilovskaya, E., Laureys, S., P Eulenburg, zu, Sunaert, S., Sijbers, J., Wuyts, F. L., and Jeurissen, B., “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.
S. Jillings, Pechenkova, E. V., Tomilovskaya, E., Rukavishnikov, I., Jeurissen, B., Van Ombergen, A., Nosikova, I., Rumshiskaya, A., Litvinova, L., Annen, J., De Laet, C., Schoenmaekers, C., Sijbers, J., Petrovichev, V., Sunaert, S., Parizel, P. M., Sinitsyn, V., P Eulenburg, zu, Laureys, S. S. L., Demertzi, A., and Wuyts, F. L., “Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity”, Communications Biology, vol. 6, no. 46, 2023.
S. Jillings, “The impact of long-duration spaceflight on brain structure and function”, University of Antwerp, 2021.
S. Jillings, Van Ombergen, A., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E., Rukavishnikov, I., Kozlovskaya, I., Sunaert, S., Parizel, P. M., Sinitsyn, V., Petrovichev, V., Laureys, S., P Eulenburg, zu, Sijbers, J., Wuyts, F. L., and Jeurissen, B., “Diffusion MRI reveals macro- and microstructural changes in cosmonauts' brains after long-duration spaceflight”, Proc Intl Soc Mag Reson Med 28. p. 4531, 2020.
S. Jillings, Van Ombergen, A., Tomilovskaya, E., Rumshiskaya, A., Litvinova, L., Nosikova, I., Pechenkova, E., Rukavishnikov, I., Kozlovskaya, I. B., Manko, O., Danilichev, S., Sunaert, S., Parizel, P. M., Sinitsyn, V., Petrovichev, V., Laureys, S., Eulenburg, Pzu, Sijbers, J., Wuyts, F. L., and Jeurissen, B., “Macro- and microstructural changes in cosmonauts’ brains after long-duration spaceflight”, Science Advances, vol. 6, no. 36, p. eaaz9488, 2020.PDF icon Download paper (942.53 KB)
J. S. Jorgensen and Sijbers, J., “Just enough physics”, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.
J. Juntu, Schepper, A. D. M., Van Dyck, P., Van Dyck, D., Gielen, J. L., Parizel, P. M., and Sijbers, J., “Classification of Soft Tissue Tumors by Machine Learning Algorithms”, in Soft Tissue Tumors, InTech, 2011.PDF icon Book.Chapter-Copy.Sent_.to_.InTech-(21.07.2011).pdf (732.07 KB)
J. Juntu, Sijbers, J., Van Dyck, D., and Gielen, J. L., “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.
J. Juntu, Sijbers, J., and Van Dyck, D., “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.
J. Juntu, Sijbers, J., De Backer, S., Rajan, J., and Van Dyck, D., “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.PDF icon Download paper (300.61 KB)
K
J. Kaartinen, Hätönen, J., and Roine, T., “Machine Vision of Flotation Froths with a Rapid-Prototyping Platform”, in IFAC Workshop on Automation in Mining, Mineral and Metal Industry (IFACMMM2009), 2009.

Pages