| Iterative regularization methods for nonlinear ill-posed problems B Kaltenbacher, A Neubauer, O Scherzer Walter de Gruyter, 2008 | 1017 | 2008 |
| Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009 | 887 | 2009 |
| A convergence analysis of the Landweber iteration for nonlinear ill-posed problems M Hanke, A Neubauer, O Scherzer Numerische Mathematik 72 (1), 21-37, 1995 | 738 | 1995 |
| Handbook of mathematical methods in imaging O Scherzer Springer Science & Business Media, 2010 | 482 | 2010 |
| A convergence rates result for Tikhonov regularization in Banach spaces with non-smooth operators B Hofmann, B Kaltenbacher, C Poeschl, O Scherzer Inverse Problems 23 (3), 987, 2007 | 441 | 2007 |
| On convergence rates for the iteratively regularized Gauss-Newton method B Blaschke, A Neubauer, O Scherzer IMA Journal of Numerical Analysis 17 (3), 421-436, 1997 | 312 | 1997 |
| Inverse problems light: numerical differentiation M Hanke, O Scherzer The American Mathematical Monthly 108 (6), 512-521, 2001 | 290 | 2001 |
| Sparse regularization with lq penalty term M Grasmair, M Haltmeier, O Scherzer Inverse Problems 24 (5), 055020, 2008 | 236 | 2008 |
| Relations between regularization and diffusion filtering O Scherzer, J Weickert Journal of Mathematical Imaging and Vision 12, 43-63, 2000 | 219 | 2000 |
| Optimal a posteriori parameter choice for Tikhonov regularization for solving nonlinear ill-posed problems O Scherzer, HW Engl, K Kunisch SIAM journal on numerical analysis 30 (6), 1796-1838, 1993 | 209 | 1993 |
| The use of Morozov's discrepancy principle for Tikhonov regularization for solving nonlinear ill-posed problems O Scherzer Computing 51 (1), 45-60, 1993 | 195 | 1993 |
| Thermoacoustic tomography with integrating area and line detectors P Burgholzer, C Hofer, G Paltauf, M Haltmeier, O Scherzer IEEE transactions on ultrasonics, ferroelectrics, and frequency control 52 …, 2005 | 187 | 2005 |
| Convergence criteria of iterative methods based on Landweber iteration for solving nonlinear problems O Scherzer Journal of Mathematical Analysis and Applications 194 (3), 911-933, 1995 | 181 | 1995 |
| Thermoacoustic computed tomography with large planar receivers M Haltmeier, O Scherzer, P Burgholzer, G Paltauf Inverse problems 20 (5), 1663, 2004 | 178 | 2004 |
| Necessary and sufficient conditions for linear convergence of ℓ1‐regularization M Grasmair, O Scherzer, M Haltmeier Communications on Pure and Applied Mathematics 64 (2), 161-182, 2011 | 174 | 2011 |
| A convergence analysis of iterative methods for the solution of nonlinear ill-posed problems under affinely invariant conditions P Deuflhard, HW Engl, O Scherzer Inverse problems 14 (5), 1081, 1998 | 166 | 1998 |
| Filtered backprojection for thermoacoustic computed tomography in spherical geometry M Haltmeier, T Schuster, O Scherzer Mathematical methods in the applied sciences 28 (16), 1919-1937, 2005 | 159 | 2005 |
| Error estimates for non-quadratic regularization and the relation to enhancement E Resmerita, O Scherzer Inverse Problems 22 (3), 801, 2006 | 131 | 2006 |
| Factors influencing the ill-posedness of nonlinear problems B Hofmann, O Scherzer Inverse Problems 10 (6), 1277, 1994 | 130 | 1994 |
| Denoising with higher order derivatives of bounded variation and an application to parameter estimation O Scherzer Computing 60 (1), 1-27, 1998 | 125 | 1998 |
Markus HaltmeierProfessor of Mathematics, University of Innsbruck在 uibk.ac.at 的电子邮件经过验证
