Publications

Export 1332 results:
[ Author(Asc)] 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 
K
A. Karami, R.Heylen,, and Scheunders, P., “Lossy Compression of Hyperspectral Images Optimizing Spectral Unmixing”, in IGARSS 2015, Milan, Italy, 2015.
A. Karami, M.Yazdi,, and Zolghadre, A., “Compression and Noise Reduction of Hyperspectral Images Using Hybrid Genetic Algorithm and Nonnegative Tucker Decomposition”, International Journal of Information studies , vol. 2, no. 4, 2010.
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, 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 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.
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.
J
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, 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. S. Jorgensen and Sijbers, J., “Just enough physics”, in Computed Tomography: Algorithms, Insight, and Just Enough Theory , vol. 4, SIAM, 2021.
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)
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.
B. Jeurissen, Leemans, A., Tournier, J. - D., Jones, D. K., and Sijbers, J., “Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging.”, Human Brain Mapping, vol. 34, pp. 2747-66, 2013.
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., 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., Tournier, J. - D., and Sijbers, J., “Bootstrap methods for estimating uncertainty in Constrained Spherical Deconvolution fiber orientations”, ISMRM, 16th Scientific Meeting and Exhibition. Toronto, Canada, p. 3324, 2008.
B. Jeurissen, Naeyaert, M., Leemans, A., and Sijbers, J., “Registration based correction of DWI gradient orientations”, ISMRM, 19th Scientific Meeting and Exhibition. Montreal, Canada, 2011.
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.

Pages