| Higher-order finite-difference schemes for electromagnetic radiation, scattering, and penetration. 1. theory SV Georgakopoulos, CR Birtcher, CA Balanis, RA Renaut IEEE Antennas and Propagation Magazine 44 (1), 134-142, 2002 | 129 | 2002 |
| Clustering huge data sets for parametric PET imaging H Guo, R Renaut, K Chen, E Reiman Biosystems 71 (1-2), 81-92, 2003 | 107 | 2003 |
| Efficient algorithms for solution of regularized total least squares RA Renaut, H Guo SIAM journal on matrix analysis and applications 26 (2), 457-476, 2004 | 99 | 2004 |
| Computing aerodynamically generated noise VL Wells, RA Renaut Annual Review of Fluid Mechanics 29 (1), 161-199, 1997 | 98 | 1997 |
| Higher order absorbing boundary conditions for the finite-difference time-domain method PA Tirkas, CA Balanis, RA Renaut IEEE Transactions on Antennas and Propagation 40 (10), 1215-1222, 1992 | 94 | 1992 |
| Improved total variation-type regularization using higher order edge detectors W Stefan, RA Renaut, A Gelb SIAM Journal on Imaging Sciences 3 (2), 232-251, 2010 | 74 | 2010 |
| Two-step runge–kutta methods Z Jackiewicz, R Renaut, A Feldstein SIAM Journal on Numerical Analysis 28 (4), 1165-1182, 1991 | 70 | 1991 |
| Characterization of the image-derived carotid artery input function using independent component analysis for the quantitation of [18F] fluorodeoxyglucose positron emission … K Chen, X Chen, R Renaut, GE Alexander, D Bandy, H Guo, EM Reiman Physics in Medicine & Biology 52 (23), 7055, 2007 | 68 | 2007 |
| A Newton root-finding algorithm for estimating the regularization parameter for solving ill-conditioned least squares problems JL Mead, RA Renaut Inverse Problems 25 (2), 025002, 2008 | 66 | 2008 |
| Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method R Archibald, K Chen, A Gelb, R Renaut NeuroImage 20 (1), 489-502, 2003 | 66 | 2003 |
| An automated algorithm for the computation of brain volume change from sequential MRIs using an iterative principal component analysis and its evaluation for the assessment of … K Chen, EM Reiman, GE Alexander, D Bandy, R Renaut, WR Crum, ... Neuroimage 22 (1), 134-143, 2004 | 63 | 2004 |
| Hybrid and iteratively reweighted regularization by unbiased predictive risk and weighted GCV for projected systems RA Renaut, S Vatankhah, VE Ardestani SIAM Journal on Scientific Computing 39 (2), B221-B243, 2017 | 55 | 2017 |
| A pseudospectral Chebychev method for the 2D wave equation with domain stretching and absorbing boundary conditions R Renaut, J Fröhlich Journal of Computational Physics 124 (2), 324-336, 1996 | 54 | 1996 |
| A parallel multisplitting solution of the least squares problem RA Renaut Numerical linear algebra with applications 5 (1), 11-31, 1998 | 52 | 1998 |
| An input function estimation method for FDG-PET human brain studies H Guo, RA Renaut, K Chen Nuclear medicine and biology 34 (5), 483-492, 2007 | 50 | 2007 |
| Absorbing boundary conditions, difference operators, and stability RA Renaut Journal of Computational Physics 102 (2), 236-251, 1992 | 50 | 1992 |
| HIRF penetration and PED coupling analysis for scaled fuselage models using a hybrid subgrid FDTD (2, 2)/FDTD (2, 4) method SV Georgakopoulos, CR Birtcher, CA Balanis, RA Renaut IEEE Transactions on Electromagnetic Compatibility 45 (2), 293-305, 2003 | 48 | 2003 |
| Optimal Runge–Kutta methods for first order pseudospectral operators JL Mead, RA Renaut Journal of Computational Physics 152 (1), 404-419, 1999 | 48 | 1999 |
| 3-D Projected L1 inversion of gravity data using truncated unbiased predictive risk estimator for regularization parameter estimation S Vatankhah, RA Renaut, VE Ardestani Geophysical Journal International 210 (3), 1872-1887, 2017 | 46 | 2017 |
| Least squares problems with inequality constraints as quadratic constraints JL Mead, RA Renaut Linear Algebra and its Applications 432 (8), 1936-1949, 2010 | 46 | 2010 |
Saeed VatankhahUniversity of Tehran, Institute of GeophysicsVerified email at ut.ac.ir
