Publications
“A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood”, in SPIE Medical Imaging, 2011, vol. 7962.
, “An extended NLML method for denoising non-central chi distributed data - application to parallel MRI”, Fourth Annual Meeting of the Benelux ISMRM chapter. p. 41, 2011.
, “Segmentation Based Noise Variance Estimation from Background MRI Data”, in ICIAR , Porto, Portugal, 2010, vol. 6111, pp. 62-70.
, “Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images”, Magnetic Resonance Imaging, vol. 30, no. 10, pp. 1512-1518, 2012. Download full paper (1.11 MB)
, “Denoising SENSE reconstructed MR images”, 5th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society. 2011.
, “NOVIFAST: A fast non-linear least squares method for accurate and precise estimation of T1 from SPGR signals”, 24th Annual Meeting of the ISMRM, Singapore. 2016.
, “Partially discrete magnetic resonance tomography”, in 2015 IEEE International Conference on Image Processing (ICIP), 2015, pp. 1653-1657.
, “A unified Maximum Likelihood framework for simultaneous motion and T1 estimation in quantitative MR T1 mapping”, IEEE Transactions on Medical Imaging, vol. 36, no. 2, pp. 433 - 446, 2017.
, “Simultaneous motion correction and T1 estimation in quantitative T1 mapping: An ML restoration approach”, in 2015 IEEE International Conference on Image Processing (ICIP), 2015, pp. 3160-3164.
, “Partial Discreteness: a Novel Prior for Magnetic Resonance Image Reconstruction”, IEEE Transactions on Medical Imaging, vol. 36, no. 5, pp. 1041 - 1053, 2017. Download paper (3.72 MB)
, “Joint motion correction and estimation for T1 mapping: proof of concept”, Medical Imaging Summer School 2014, Favignana, Italy. 2014.
, “An educational presentation on accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation”, 10th Annual Meeting of the ISMRM Benelux Chapter. Antwerp, Belgium, 2018.
, “Misalignment correction for T1 maps using a maximum likelihood estimator approach”, Imaging the brain at different scales: How to integrate multi-scale structural information?, Antwerp, Belgium, 2 Sep - 6 Sep, 2013. 2013.
, “Simultaneous group-wise rigid registration and T1 ML estimation for T1 mapping”, 23rd Annual meeting of the ISMRM, Toronto, Canada., vol. 23. p. 447, 2015. Download abstract (910.6 KB)
, “Simultaneous group-wise rigid registration and T1 ML estimation for T1 mapping”, 7th meeting of the ISMRM Benelux Chapter, Gent, Belgium, January. 2015.
, “Accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation”, Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), 26th Annual Meeting. Paris, France, p. 5664, 2018.
, “NOVIFAST: A fast algorithm for accurate and precise VFA MRI T1 mapping”, IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2414 - 2427, 2018. Download paper (3.3 MB)
, “Statistically optimal separation of multi-component MR signals with a Majorize-Minimize approach: application to MWF estimation”, 34th annual scientific meeting of the ESMRMB. 2017.
, “Improved MRI Relaxometry through Statistical Signal Processing”, University of Antwerp, Antwerp, 2018. Download thesis (19.25 MB)
, “Partial discreteness: a new type of prior knowledge for MRI reconstruction”, 23rd Annual meeting of the ISMRM, Toronto, Canada., vol. 23. p. 3417, 2015. Download abstract (1.14 MB)
, “MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022. ieee_journal_misicnet.pdf (11.02 MB)
, “Spectral Unmixing Using Deep Convolutional Encoder-Decoder”, in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 3829-3832. igarss2021.pdf (659.27 KB)
, “SUnCNN: Sparse Unmixing Using Unsupervised Convolutional Neural Network”, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2021. ieee_grsl_sundip.pdf (2.34 MB)
, “How Hyperspectral Image Unmixing and Denoising Can Boost Each Other”, Remote Sensing, vol. 12, no. 1728, 2020. remotesensing-12-01728.pdf (2.27 MB)
, “Boosting Hyperspectral Image Unmixing using Denoising: Four Scenarios”, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
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