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H. Segers, Palenstijn, W. J., Batenburg, K. J., and Sijbers, J., Discrete Tomography in MRI: a Simulation Study, Fundamenta Informaticae, vol. 125, no. 3-4, pp. 223-237, 2013.
F. Schmidt, Koirala, B., and Andrieu, F., Validation of abundance determination of granular mixture using radiative transfer and Bayesian MCMC, EPSC2024. 2024.PDF icon exhibit_17_validation_of_abundance_determination_of_granular_mixture_using_radiative_transfer_and_bayesian_mcmc.pdf (977.09 KB)
F. Schmidt, Koirala, B., and Andrieu, F., Determination of volumetric abundance of intimate mixture using Bayesian MCMC, IEEE Sensors Journal, pp. 1-1, 2024.PDF icon Download paper (2.8 MB)
K. G. Schilling, Howard, A. F. D., Grussu, F., Ianus, A., Hansen, B., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Jelescu, I. O., Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3—Ex vivo imaging: Data processing, comparisons with microscopy, and tractography, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2561 - 2582, 2025.
K. G. Schilling, Grussu, F., Ianus, A., Hansen, B., Howard, A. F. D., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Jelescu, I. O., Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2—Ex vivo imaging: Added value and acquisition, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2535 - 2560, 2025.
P. Scheunders and De Backer, S., Wavelet-based enhancement of remote sensing and biomedical image series using an auxiliary image, in SPIE Optics East, 23-26 October, Boston, Massachusetts USA, 2005, vol. 6001, pp. 41-52.
P. Scheunders and Driesen, J., Least squares interband denoising of color and multispectral images, in Proc. ICIP2004, IEEE International Conference on Image Processing, 24-27 october, Singapore, 2004, pp. 985-988.
P. Scheunders, Multiscale Edge Representation Applied to Image Fusion, in Proc. Wavelet Applications in Signal and Image Processing VIII, 2000, pp. 894-901.
P. Scheunders, Comparison of clustering algorithms applied to colour image quantization, Pattern Recognition Letters, vol. 18, pp. 1379-1384, 1997.
P. Scheunders and De Backer, S., High-dimensional clustering using frequency sensitive competitive learning, Pattern Recognition, vol. 32, pp. 193-202, 1999.
P. Scheunders, Local mapping for multispectral image visualisation, Image and Vision Computing, vol. 19, pp. 971-978, 2001.
P. Scheunders, Joint quantization and error-diffusion of color images using competitive learning, Journal of the IEE Proceedings, Vision, Image and Signal Processing, vol. 14, pp. 137-140, 1998.
P. Scheunders and De Backer, S., Wavelet Denoising of multicomponent images using a Gaussian Scale Mixture model, in ICPR’06, International Conference on Pattern Recognition, Hong Kong, august 20-24, 2006, vol. 3, pp. 754-757.
P. Scheunders and Sijbers, J., Multiscale watershed segmentation of multivalued images, in Proc. ICPR02, International Conference on Pattern Recognition, Quebec, Canada, 2002, vol. 3, pp. 855-858.
P. Scheunders and De Backer, S., Joint quantization and error-diffusion of color images using competitive learning, in Proc. IEEE Conference on Image Processing , Santa Barbara, 26-29 october, 1997, pp. 811-814.
P. Scheunders, An orthogonal wavelet representation of multivalued images, IEEE Transactions on Image Processing, vol. 12, pp. 718-725, 2003.
P. Scheunders, A genetic c-means clustering algorithm applied to color image quantization, Pattern Recognition, vol. 30, pp. 859-866, 1997.
P. Scheunders and Sijbers, J., Multiscale anisotropic filtering of color images, in Proceedings of the IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001, vol. 3, pp. 170-173.
P. Scheunders and De Backer, S., Fusion and merging of multispectral images using multiscale fundamental forms, Journal of the Optical Society of America A, vol. 18, pp. 2468-2477, 2001.
P. Scheunders, Duijster, A., and Zhang, Y., Wavelet-based Multi/Hyperspectral Image Restoration and Fusion, in Signal and Image Processing for Remote Sensing, C. H. Chen, Ed. Taylor and Francis, 2012, pp. 505-523.
P. Scheunders, A genetic approach towards optimal color image quantization, in Proc. ICIP'96, IEEE Internat. Conference on Image Processing , III, Lausanne, september 16-19, 1996, pp. 1031-1034.
P. Scheunders, Genetic optimal quantization of gray-level and color images, in Proceedings ACCV'95, Second Asian Conference on Computer Vision, Singapore, 5-8 december, 1995, pp. 94-98.
P. Scheunders, A wavelet representation of multispectral images; in: Frontiers of Remote Sensing Information Processing, C. H. Chen, Ed. World Scientific, 2003, pp. 197-224.
P. Scheunders, Wavelet representations of multivalued images, in Wavelet Applications in Industrial Processing, part of the International Symposium on Photonics Technologies for Robotics, Automation, and Manufacturing , 27-31 October 2003, Providence, RI USA, 2003, pp. 203-215.
P. Scheunders, A multivalued image wavelet representation based on multiscale fundamental forms, IEEE Transactions on Image Processing, vol. 11, pp. 568-575, 2002.

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