Publications

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A. Karami, M.Rashidinejad,, and Gharaveisi, A. A., “Voltage Security Enhancement by Optimal FACTS Location via RGA”, TPE conference. 2006.
A. Karami, Heylen, R., and Scheunders, P., “Hyperspectral Image Compression Optimized for Spectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing, vol. pp, no. 99, 2016.
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.
A. Karami, M.Yazdi,, and Mercier, G., “Hyperspectral Image Compression based on Tucker Decomposition and Wavelet Transform”, WHISPERS . Lisbon, Portugal, 2011.
A. Karami, Heylen, R., and Scheunders, P., “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.
A. Karami, M.Yazdi,, and Mercier, G., “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.
A. Karami, M.Rashidinejad,, and Gharaveisi, A. A., “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.
A. Karami, Beheshti, S., and M.Yazdi, “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.
A. Karami, M.Yazdi,, and Zolghadre, A., “Noise Reduction of Hyperspectral Images Using Kernel Nonnegative Tucker Decomposition”, IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, 2011.
A. Karami, M.Rashidinejad,, and Gharaveisi, A. A., “Optimal Location of STATCOM for Voltage Security Enhancement via Artificial Intelligent”, IEEE Conference,ICIT. 2006.
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.
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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, 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. S. Jorgensen and Sijbers, J., “Just enough physics”, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.
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, 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, 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, “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.
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, 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, 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.

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