| On optimization techniques for solving nonlinear inverse problems E Haber, UM Ascher, D Oldenburg Inverse problems 16 (5), 1263, 2000 | 345 | 2000 |
| Joint inversion: a structural approach E Haber, D Oldenburg Inverse problems 13 (1), 63, 1997 | 304 | 1997 |
| Stable architectures for deep neural networks E Haber, L Ruthotto Inverse Problems 34 (1), 014004, 2017 | 268 | 2017 |
| Intensity gradient based registration and fusion of multi-modal images E Haber, J Modersitzki International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 219 | 2006 |
| Fast simulation of 3D electromagnetic problems using potentials E Haber, UM Ascher, DA Aruliah, DW Oldenburg Journal of Computational Physics 163 (1), 150-171, 2000 | 216 | 2000 |
| RESINVM3D: A 3D resistivity inversion package A Pidlisecky, E Haber, R Knight Geophysics 72 (2), H1-H10, 2007 | 208 | 2007 |
| Inversion of 3D electromagnetic data in frequency and time domain using an inexact all-at-once approach E Haber, UM Ascher, DW Oldenburg Geophysics 69 (5), 1216-1228, 2004 | 185 | 2004 |
| Numerical methods for volume preserving image registration E Haber, J Modersitzki Inverse problems 20 (5), 1621, 2004 | 173 | 2004 |
| Three dimensional inversion of multisource time domain electromagnetic data DW Oldenburg, E Haber, R Shekhtman Geophysics 78 (1), E47-E57, 2013 | 169 | 2013 |
| Fast finite volume simulation of 3D electromagnetic problems with highly discontinuous coefficients E Haber, UM Ascher SIAM Journal on Scientific Computing 22 (6), 1943-1961, 2001 | 169 | 2001 |
| Preconditioned all-at-once methods for large, sparse parameter estimation problems E Haber, UM Ascher Inverse Problems 17 (6), 1847, 2001 | 167 | 2001 |
| Deep neural networks motivated by partial differential equations L Ruthotto, E Haber Journal of Mathematical Imaging and Vision, 1-13, 2019 | 158 | 2019 |
| An effective method for parameter estimation with PDE constraints with multiple right-hand sides E Haber, M Chung, F Herrmann SIAM Journal on Optimization 22 (3), 739-757, 2012 | 157 | 2012 |
| Intensity gradient based registration and fusion of multi-modal images E Haber, J Modersitzki Methods of information in medicine 46 (03), 292-299, 2007 | 148 | 2007 |
| A multilevel method for image registration E Haber, J Modersitzki SIAM journal on scientific computing 27 (5), 1594-1607, 2006 | 139 | 2006 |
| A GCV based method for nonlinear ill-posed problems E Haber, D Oldenburg Computational Geosciences 4 (1), 41-63, 2000 | 138 | 2000 |
| Reversible architectures for arbitrarily deep residual neural networks B Chang, L Meng, E Haber, L Ruthotto, D Begert, E Holtham Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 129 | 2018 |
| Numerical methods for coupled super-resolution J Chung, E Haber, J Nagy Inverse Problems 22 (4), 1261, 2006 | 112 | 2006 |
| Numerical methods for experimental design of large-scale linear ill-posed inverse problems E Haber, L Horesh, L Tenorio Inverse Problems 24 (5), 055012, 2008 | 110 | 2008 |
| Inversion of time domain three-dimensional electromagnetic data E Haber, DW Oldenburg, R Shekhtman Geophysical Journal International 171 (2), 550-564, 2007 | 107 | 2007 |
