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“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)
, “Estimation of the noise in magnitude MR images”, Magnetic Resonance Imaging, vol. 16, pp. 87-90, 1998. Download paper (64.9 KB)
, “Volume quantization of the mouse cerebellum by semi-automatic 3D segmentation of MR images”, in Proceedings of SPIE Medical Imaging, Newport Beach CA, USA, 1996, vol. 2710, pp. 553-560.
, “Estimation of signal and noise from Rician distributed data”, in Proceedings of the IASTED International Conference on Signal Processing and Communications, Canary Islands, Spain, 1998, pp. 140-143.
, “Restoration of EEG signals distorted during simultaneous MR acquisitions”, in annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 1999, p. 212.
, “The use of two NMR realizations for determining and improving of the image SNR”, in Proceedings of the Joint Meeting of the Belgian and Dutch Societies for Electron Microscopy, Arnhem, Papendal, The Netherlands, 1994, p. 65.
, “Magnetic Resonance Imaging, In: Encyclopedia of Optical Engineering”, Marcel Dekker, 2003, pp. 1237-1258.
, “Coregistration of Micro-MRI, microCT and microPET”, in Workshop on non Invasive 3D Microscopy, University of Antwerp, Belgium, 2004, p. 16.
, “Automatic EEG signal restoration during simultaneous EEG/MR acquisitions”, in SPIE Medical Imaging: Image Processing, San Diego, California, USA, 2000, vol. 3979, pp. 1482-1491.
, “The construction of a gradient set”, in 4th Meeting of the FGWO/FRSM Contact Group Biomedical MR, Louvain-la-Neuve, Belgium, 1993, p. 5.
, “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)
, “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)
, “Watershed based segmentation of 3D MR data for volume quantization”, Magnetic Resonance Imaging, vol. 15, pp. 679-688, 1997. Download paper (3.18 MB)
, “Semi-automatic mouse cerebellum extraction from 3D magnetic resonance data”, in Proceedings of the International Society for Magnetic Resonance in Medicine, New York, USA, 1996, vol. 3, p. 1585.
, “Efficient algorithm for the computation of 3D Fourier descriptors”, in 1st International Symposium on 3D Data Processing Visualization and Transmission, Padua, Italy, 2002, pp. 640-643.
, , “Restoration of MR induced artifacts in simultaneously recorded MR/EEG data”, Magnetic Resonance Imaging, vol. 17, pp. 1383-1393, 1999. Download paper (1.09 MB)
, “Reduction of ECG and gradient related artifacts in simultaneously recorded human EEG/MRI data”, Magnetic Resonance Imaging, vol. 18, pp. 881-886, 2000. Download paper (2 MB)
, “Mobile imaging of an object using penetrating radiation”, U.S. Patent WO/2017/1783342017.
, “Reduction of ring artifacts in high resolution micro-CT images”, in Advanced Concepts for Intelligent Vision Systems (ACIVS), Brussels, Belgium, 2004.
, “Segmentation Scheme for Volume Quantization from 3D Microscopic MR images”, in Proceedings of the Joint Meeting NVvM & BVM, Gent, 1996, pp. 168-169.
, “Use of support vector machines approach via ComBat harmonized diffusion tensor imaging for the diagnosis and prognosis of mild traumatic brain injury: a CENTER-TBI study”, Journal of Neurotrauma, vol. 40, no. 13-14, pp. 1317-1338, 2023.
, “Harmonisation of Brain Diffusion MRI: Concepts and Methods”, Frontiers in Neuroscience , vol. 14, pp. 1-17, 2020. Download paper (2.61 MB)
, “Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study”, ISMRM & SMRT Annual Meeting. 2021.
, “Outcome prediction of mild traumatic brain injury using support vector machine based on longitudinal MRdiffusion imaging from CENTER-TBI”, Magn Reson Mater Phy (ESMRMB), vol. 34. p. S54, 2021.
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