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den Dekker, A J., D. H. J. Poot, R. Bos, and J. Sijbers, "Likelihood based hypothesis tests for brain activation detection from MRI data disturbed by colored noise: a simulation study", IEEE Transactions on Medical Imaging, vol. 28, no. 2, pp. 287-296, February, 2009.
den Dekker, A J., and J. Sijbers, "Brain activation detection from magnitude fMRI data using a generalized likelihood ratio test", Abstracts of the 23rd Benelux Meeting on Systems and Control, Helvoirt, The Netherlands, March, 2004.
den Dekker, A J., J. Sijbers, M. Verhoye, and D. Van Dyck, "Maximum Likelihood estimation of the signal component magnitude in phase contrast MR images", Proceedings of SPIE Medical Imaging, vol. 3338, San Diego, California, USA, pp. 408-415, February, 1998.
den Dekker, A J., J. Sijbers, and D. Van Dyck, "Quantitative HREM: viewpoints on resolution, precision, and experimental design", Acta Cryst. A55 Supplement, Abstract M11.OE.OO5, IUCR Glasgow, Scotland, August, 1999.
den Dekker, A J., and J. Sijbers, "Data distributions in magnetic resonance images: a review", Physica Medica, vol. 30, issue 7, pp. 725–741, 2014. PDF icon Download paper (410.33 KB)PDF icon Download paper (protected) (505.58 KB)
den Dekker, A J., and J. Sijbers, "Maximum Likelihood estimation of signal amplitude and noise variance", 13th IFAC Symposium on System Identification (SYSID-2003), Rotterdam, The Netherlands, pp. 126-131, August, 2003.
den Dekker, A J., J. Sijbers, and D. Van Dyck, "Optimizing the setting of an electron microscope for highest resolution using statistical parameter estimation theory", Workshop: Towards Atomic Resolution Analysis 98, Port Ludlow, WA, U.S.A, September, 1998.
den Dekker, A J., and A. van den Bos, "Resolution: a survey", J. Opt. Soc. Am. A, vol. 14, no. 3: OSA, pp. 547–557, Mar, 1997.
Dhollander, T., J. Veraart, W. Van Hecke, F. Maes, S. Sunaert, J. Sijbers, and P. Suetens, "Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space", MICCAI 2011: Medical Image Computing and Computer-Assisted Intervention, pp. 166-173, 2011.
Dhollander, T., R E. Smith, J-D. Tournier, B. Jeurissen, and A. Connelly, "Time to Move On: An FOD-Based DEC Map to Replace DTI's Trademark DEC FA", ISMRM 23th Annual Meeting, pp. 1027, 2015.
Distante, C., J. Blanc-Talon, W. Philips, D. Popescu, and P. Scheunders, "ACIVS 2016, Advanced Concepts for Intelligent Vision Systems", Lecture Notes in Computer Science, vol. 10016, 2016.
Dox, T., R. Heylen, and P. Scheunders, "Spectral variability in a multilinear mixing model", IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
Driesen, J., G. Thoonen, and P. Scheunders, "Spatial hyperspectral image classification by prior segmentation", Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009, vol. 3, Cape Town, South Africa, pp. III-709 - III-712, July, 2009.
Driesen, J., and P. Scheunders, "A Multicomponent Image Segmentation Framework", Lecture Notes in Computer Science, vol. 5259, pp. 589-600, 2008.
Driesen, J., and P. Scheunders, "Wavelet based Filter Array Demosaicking", Proc. ICIP2004, IEEE International Conference on Image Processing, 24-27 october, Singapore, pp. 3311-3314, 2004.
Driesen, J., and P. Scheunders, "Wavelet based segmentation of multivalued images", SPIE Optics East, 23-26 October, Boston, Massachusetts USA, vol. 6001, no. 2, pp. 13-22, 2005.
Driesen, J., and P. Scheunders, "Wavelet based segmentation of multi-component images", IEEE BENELUX/DSP Valley Signal Processing Symposium (SPS-DARTS) March 28-29, Antwerp, Belgium, pp. 151-154, 2006.
Duijster, A., P. Scheunders, and S. De Backer, "Wavelet-Based EM Algorithm for Multispectral-Image Restoration", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, pp. 3892-3898, November, 2009.
Duijster, A., S. De Backer, and P. Scheunders, "Wavelet-based Multispectral Image Restoration", IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, vol. 3: IEEE International, pp. 79-82, 2008.
Duijster, A., S. De Backer, and P. Scheunders, "Wavelet-based Multicomponent Image Restoration", Wavelet Applications in Industrial Processing V, part of SPIE Optics East, Boston, MA, United States, September 9-12, vol. 6763, October, 2007.
Duijster, A., S. De Backer, and P. Scheunders, "Multicomponent image restoration, an experimental study", Lecture Notes in Computer Science, vol. 4633, pp. 58-68, 2007.

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