Publications
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Author Type [ Year] Filters: Author is Arnold Jan den Dekker [Clear All Filters]
“Coregistration of Micro-MRI, microCT and microPET”, in Workshop on non Invasive 3D Microscopy, University of Antwerp, Belgium, 2004, p. 16.
, “Detection of brain activation from magnitude fMRI data using a generalized likelihood ratio test”, in Proceedings of the 12th European Signal Processing Conference, Vienna, Austria, 2004, pp. 233-236.
, “Generalized likelihood ratio test for complex fMRI data”, in SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, San Diego, California, USA, 2004, vol. 5369, pp. 652-663. Download full paper (251.15 KB)
, “Maximum Likelihood estimation of signal amplitude and noise variance from MR data”, Magnetic Resonance in Medicine, vol. 51, pp. 586-594, 2004. Download full paper (295.12 KB)
, “The performance of generalized likelihood ratio tests for complex functional MRI data in the presence of phase model misspecification”, in European Society of Magnetic Resonance in Medicine (ESMRMB), Copenhagen, Denmark, 2004, p. 96.
, “Advanced Image Processing in Magnetic Resonance Imaging”, in Series: Signal Processing and Communications, vol. 27, Marcel Dekker, 2005, pp. 85-143.
, “Brain activation detection from functional magnetic resonance imaging data using likelihood based hypothesis tests”, in Abstracts of the 24th Benelux Meeting on Systems and Control, Houffalize, Belgium, 2005.
, “Generalized likelihood Ratio tests for complex fMRI data: a simulation study”, IEEE Transactions on Medical Imaging, vol. 24, pp. 604-611, 2005. Download paper (377.11 KB)
, “Implications of the Rician distribution for fMRI generalized likelihood ratio tests”, Magnetic Resonance Imaging, vol. 23, pp. 953-959, 2005. Download paper (1.36 MB)
, “A likelihood ratio test for functional MRI data analysis to account for colored noise”, Lecture Notes in Computer Science, vol. 3708, pp. 538-546, 2005. Download full paper (483.15 KB)
, “Automatic estimation of the noise variance from the histogram of a magnetic resonance image”, in IEEE/EBMS Benelux Symposium proceedings, 2006, pp. 135-138.
, “Estimation of the noise variance from the background histogram mode of an MR image”, in Proceedings of the 25th Benelux Meeting on Systems and Control, Heeze, The Netherlands, 2006.
, “Estimation of the noise variance from the background histogram mode of an MR image”, in Proceedings of SPS-DARTS 2006 (The second annual IEEE BENELUX/DSP Valley Signal Processing Symposium), Antwerp, Belgium, 2006, pp. 159-162.
, “Robust estimation of the noise variance from background MR data”, in Proceedings of SPIE Medical Imaging: Image Processing, San Diego, CA, USA, 2006, vol. 6144, pp. 2018-2028.
, “Automatic estimation of the noise variance from the histogram of a magnetic resonance image”, Physics in Medicine and Biology, vol. 52, pp. 1335-1348, 2007. Download paper (297.18 KB)
, “An exploration of spatial similarities in temporal noise spectra in fMRI measurements”, in Proceedings of SPIE Medical Imaging 2008, San Diego, CA, USA, 2008, vol. 6914, p. 69142.
, “Optimizing the Diffusion Kurtosis imaging acquisition”, in European Society for Magnetic Resonance in Medicine and Biology, Valencia, Spain, 2008.
, “Advances in the reconstruction and statistical processing of Magnetic Resonance images”, 2009. Download thesis (6.18 MB)
, “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, pp. 287-296, 2009.
, “Optimizing the Diffusion Weighting Gradients for Diffusion-Kurtosis Imaging”, ISMRM2009 proceedings, vol. 2009. p. 1394, 2009. Download full paper (624.88 KB)
, “Pearson Set of Distributions as Improved Signal Model for Diffusion Kurtosis Imaging”, ISMRM conference proceedings. ISMRM, p. 1383, 2009. Download full paper (638.23 KB)
, “Optimal experimental design for Diffusion Kurtosis Imaging”, IEEE Transactions on Medical Imaging, vol. 29, pp. 819-829, 2010. Download paper (1.12 MB)
, “Estimation of unknown structure parameters from high-resolution (S)TEM images: what are the limits?”, Ultramicroscopy, vol. 134, pp. 34-43, 2013.
, “A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images”, in 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings, 2013, Lecture Notes in Computer Science., vol. 8251.
, “Data distributions in magnetic resonance images: a review”, Physica Medica, vol. 30, no. 7, pp. 725–741, 2014. Download paper (410.33 KB) Download paper (protected) (505.58 KB)
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