| The DTI challenge: toward standardized evaluation of diffusion tensor imaging tractography for neurosurgery S Pujol, W Wells, C Pierpaoli, C Brun, J Gee, G Cheng, B Vemuri, ... Journal of Neuroimaging 25 (6), 875-882, 2015 | 197 | 2015 |
| Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models S Aja-Fernández, A Tristán-Vega, C Alberola-López Magnetic resonance imaging 27 (10), 1397-1409, 2009 | 164 | 2009 |
| Noise estimation in parallel MRI: GRAPPA and SENSE S Aja-Fernández, G Vegas-Sánchez-Ferrero, A Tristán-Vega Magnetic resonance imaging 32 (3), 281-290, 2014 | 142 | 2014 |
| DWI filtering using joint information for DTI and HARDI A Tristán-Vega, S Aja-Fernández Medical image analysis 14 (2), 205-218, 2010 | 142 | 2010 |
| Estimation of fiber orientation probability density functions in high angular resolution diffusion imaging A Tristán-Vega, CF Westin, S Aja-Fernández NeuroImage 47 (2), 638-650, 2009 | 142 | 2009 |
| Statistical noise analysis in GRAPPA using a parametrized noncentral Chi approximation model S Aja‐Fernández, A Tristán‐Vega, WS Hoge Magnetic resonance in medicine 65 (4), 1195-1206, 2011 | 113 | 2011 |
| Efficient and robust nonlocal means denoising of MR data based on salient features matching A Tristán-Vega, V García-Pérez, S Aja-Fernández, CF Westin Computer methods and programs in biomedicine 105 (2), 131-144, 2012 | 107 | 2012 |
| Impact of MR acquisition parameters on DTI scalar indexes: a tractography based approach G Barrio-Arranz, R de Luis-García, A Tristán-Vega, M Martín-Fernández, ... PloS one 10 (10), e0137905, 2015 | 80 | 2015 |
| A radius and ulna TW3 bone age assessment system A Tristán-Vega, JI Arribas IEEE Transactions on Biomedical Engineering 55 (5), 1463-1476, 2008 | 74 | 2008 |
| A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk–Radon transform A Tristan-Vega, CF Westin, S Aja-Fernandez NeuroImage 49 (2), 1301-1315, 2010 | 67 | 2010 |
| Influence of noise correlation in multiple‐coil statistical models with sum of squares reconstruction S Aja‐Fernández, A Tristán‐Vega Magnetic Resonance in Medicine 67 (2), 580-585, 2012 | 59 | 2012 |
| A review on statistical noise models for magnetic resonance imaging S Aja-Fernández, A Tristán-Vega LPI, ETSI Telecomunicacion, Universidad de Valladolid, Spain, Tech. Rep, 2013 | 55 | 2013 |
| Probabilistic ODF estimation from reduced HARDI data with sparse regularization A Tristán-Vega, CF Westin Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 49 | 2011 |
| Effective noise estimation and filtering from correlated multiple-coil MR data S Aja-Fernández, V Brion, A Tristán-Vega Magnetic resonance imaging 31 (2), 272-285, 2013 | 48 | 2013 |
| Efficient and robust image restoration using multiple-feature L2-relaxed sparse analysis priors J Portilla, A Tristan-Vega, IW Selesnick IEEE Transactions on Image Processing 24 (12), 5046-5059, 2015 | 36 | 2015 |
| Least squares for diffusion tensor estimation revisited: propagation of uncertainty with Rician and non-Rician signals A Tristán-Vega, S Aja-Fernández, CF Westin Neuroimage 59 (4), 4032-4043, 2012 | 35 | 2012 |
| Parallel MRI Noise Correction: An Extension of the LMMSE to Non Central χ Distributions V Brion, C Poupon, O Riff, S Aja-Fernández, A Tristán-Vega, JF Mangin, ... International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 35 | 2011 |
| Adjugate diffusion tensors for geodesic tractography in white matter A Fuster, T Dela Haije, A Tristán-Vega, B Plantinga, CF Westin, L Florack Journal of Mathematical Imaging and Vision 54, 1-14, 2016 | 29 | 2016 |
| Joint LMMSE estimation of DWI data for DTI processing A Tristán-Vega, S Aja-Fernández Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008 | 27 | 2008 |
| A Fast B-Spline Psuedo-inversion algorithm for Consistent Image Registration A Tristán, JI Arribas Lecture Notes in Computer Science: Computer Analysis of Images and Patterns …, 2007 | 25 | 2007 |
