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B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., 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.
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, Processing multi-shell diffusion MRI data using MRtrix3, Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. 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, 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, Tournier, J. - D., and Sijbers, J., 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.PDF icon Download abstract (1.11 MB)
B. Jeurissen, Leemans, A., Tournier, J. - D., and Sijbers, J., HARDI-based methods for fiber orientation estimation, ISMRM, 20th Scientific Meeting and Exhibition. Melbourne, Australia, p. 3585, 2012.
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.
B. Jeurissen, Sijbers, J., and Tournier, J. - D., 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.PDF icon Download abstract (780.16 KB)
B. Jeurissen, Tracking Off the Beaten Track, ISMRM 28th Annual Meeting & Exhibition. Sydney, Australia, p. e975, 2020.
B. Jeurissen, Leemans, A., and Sijbers, J., 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.
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)
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.
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., 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)
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.
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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.
A. Karami, M.Rashidinejad,, and Gharaveisi, A. A., Voltage Security Enhancement and Congestion Management via STATCOM & IPFC Using Artificial Intelligence, Iranian Journal of Science and Technology, vol. 1, no. 5, 2007.
A. Karami, Heylen, R., and Scheunders, P., Band-specific Shearlet-based Hyperspectral Image Noise Reduction, IEEE Transaction Geosciences and Remote Sensing , vol. 53, no. 9, 2015.
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.

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