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den Dekker, A J., and J. Sijbers, "Advanced Image Processing in Magnetic Resonance Imaging", Series: Signal Processing and Communications, vol. 27: Marcel Dekker, pp. 85-143, October, 2005.
den Dekker, A J., J. Sijbers, R. Bos, and A. Smolders, "Brain activation detection from functional magnetic resonance imaging data using likelihood based hypothesis tests", Abstracts of the 24th Benelux Meeting on Systems and Control, Houffalize, Belgium, March, 2005.
den Dekker, A J., and J. Sijbers, "Detection of brain activation from magnitude fMRI data using a generalized likelihood ratio test", Proceedings of the 12th European Signal Processing Conference, Vienna, Austria, ISBN 3-200-00165-8, pp. 233-236, September, 2004.
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., and J. Sijbers, "Implications of the Rician distribution for fMRI generalized likelihood ratio tests", Magnetic Resonance Imaging, vol. 23, no. 9, pp. 953-959, 2005. PDF icon Download paper (1.36 MB)
den Dekker, A J., J. Sijbers, and D. Van Dyck, "How to optimize the design of a quantitative HREM experiment so as to attain the highest precision", Journal of Microscopy, vol. 194, no. 1, pp. 95-104, 1999. PDF icon Download full paper (601.48 KB)
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., 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 A. van den Bos, "Resolution: a survey", J. Opt. Soc. Am. A, vol. 14, no. 3: OSA, pp. 547–557, Mar, 1997.
den Dekker, A J., J. Sijbers, and D. Van Dyck, "Optimizing the design of an HREM experiment so as to attain the highest resolution", Proceedings of FEMMS98: Frontiers of Electron Microscopy in Material Science, Kloster Irsee, Germany, April, 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., J. Gonnissen, A. De Backer, J. Sijbers, and S. Van Aert, "Estimation of unknown structure parameters from high-resolution (S)TEM images: what are the limits?", Ultramicroscopy, vol. 134, pp. 34-43, 2013.
den Dekker, A J., J. Sijbers, and D. Van Dyck, "How to design an HREM experiment so as to attain the highest precision?", ICEM14: 14th International Congress on Electron Microscopy, vol. 1, Cancun, Mexico, pp. 621-622, September, 1998.
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.
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.
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, "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.
Driesen, J., and P. Scheunders, "A Multicomponent Image Segmentation Framework", Lecture Notes in Computer Science, vol. 5259, pp. 589-600, 2008.
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.

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