Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
1798 2018 Longitudinal multiple sclerosis lesion segmentation: resource and challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ...
NeuroImage 148, 77-102, 2017
318 2017 Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images S Jain, DM Sima, A Ribbens, M Cambron, A Maertens, W Van Hecke, ...
NeuroImage: Clinical 8, 367-375, 2015
256 2015 An automated quantitation of short echo time MRS spectra in an open source software environment: AQSES JB Poullet, DM Sima, AW Simonetti, B De Neuter, L Vanhamme, ...
NMR in Biomedicine: An International Journal Devoted to the Development and …, 2007
187 2007 MRS signal quantitation: a review of time-and frequency-domain methods JB Poullet, DM Sima, S Van Huffel
Journal of Magnetic Resonance 195 (2), 134-144, 2008
178 2008 Regularized total least squares based on quadratic eigenvalue problem solvers DM Sima, S Van Huffel, GH Golub
BIT Numerical Mathematics 44, 793-812, 2004
143 2004 Integrating diffusion kurtosis imaging, dynamic susceptibility-weighted contrast-enhanced MRI, and short echo time chemical shift imaging for grading gliomas S Van Cauter, F De Keyzer, DM Sima, A Croitor Sava, F D'Arco, J Veraart, ...
Neuro-oncology 16 (7), 1010-1021, 2014
105 2014 Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI N Sauwen, M Acou, S Van Cauter, DM Sima, J Veraart, F Maes, ...
NeuroImage: Clinical 12, 753-764, 2016
86 2016 Reliable measurements of brain atrophy in individual patients with multiple sclerosis D Smeets, A Ribbens, DM Sima, M Cambron, D Horakova, S Jain, ...
Brain and behavior 6 (9), e00518, 2016
75 2016 Machine learning approach for classifying multiple sclerosis courses by combining clinical data with lesion loads and magnetic resonance metabolic features A Ion-Mărgineanu, G Kocevar, C Stamile, DM Sima, F Durand-Dubief, ...
Frontiers in neuroscience 11, 257329, 2017
67 2017 Measurement of whole-brain and gray matter atrophy in multiple sclerosis: assessment with MR imaging L Storelli, MA Rocca, E Pagani, W Van Hecke, MA Horsfield, ...
Radiology 288 (2), 554-564, 2018
62 2018 Automatic quantification of computed tomography features in acute traumatic brain injury S Jain, TV Vyvere, V Terzopoulos, DM Sima, E Roura, A Maas, G Wilms, ...
Journal of neurotrauma 36 (11), 1794-1803, 2019
58 2019 Hierarchical non‐negative matrix factorization (hNMF): a tissue pattern differentiation method for glioblastoma multiforme diagnosis using MRSI Y Li, DM Sima, SV Cauter, AR Croitor Sava, U Himmelreich, Y Pi, ...
NMR in Biomedicine 26 (3), 307-319, 2013
54 2013 Regularization techniques in model fitting and parameter estimation DM Sima
Diss. KU Leuven, 2006
54 2006 Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization N Sauwen, M Acou, DM Sima, J Veraart, F Maes, U Himmelreich, ...
BMC medical imaging 17, 1-14, 2017
50 2017 Separable nonlinear least squares fitting with linear bound constraints and its application in magnetic resonance spectroscopy data quantification DM Sima, S Van Huffel
Journal of computational and applied mathematics 203 (1), 264-278, 2007
47 2007 Hierarchical non‐negative matrix factorization to characterize brain tumor heterogeneity using multi‐parametric MRI N Sauwen, DM Sima, S Van Cauter, J Veraart, A Leemans, F Maes, ...
NMR in Biomedicine 28 (12), 1599-1624, 2015
44 2015 Two time point MS lesion segmentation in brain MRI: an expectation-maximization framework S Jain, A Ribbens, DM Sima, M Cambron, J De Keyser, C Wang, ...
Frontiers in neuroscience 10, 225397, 2016
43 2016 The Total Least Squares Problem in I Hnětynková, M Plešinger, DM Sima, Z Strakoš, S Van Huffel
SIAM Journal on Matrix Analysis and Applications 32 (3), 748-770, 2011
43 2011 Patch-based super-resolution of MR spectroscopic images: application to multiple sclerosis S Jain, DM Sima, F Sanaei Nezhad, G Hangel, W Bogner, S Williams, ...
Frontiers in neuroscience 11, 13, 2017
39 2017 