| Characterization and reduction of artifacts in limited angle tomography J Frikel, ET Quinto Inverse Problems 29 (12), 125007, 2013 | 206 | 2013 |
| Joint image reconstruction and segmentation using the Potts model M Storath, A Weinmann, J Frikel, M Unser Inverse Problems 31 (2), 025003, 2015 | 155 | 2015 |
| Sparse regularization in limited angle tomography J Frikel Applied and Computational Harmonic Analysis 34 (1), 117-141, 2013 | 125 | 2013 |
| Artifacts in incomplete data tomography with applications to photoacoustic tomography and sonar J Frikel, ET Quinto SIAM Journal on Applied Mathematics 75 (2), 703-725, 2015 | 84 | 2015 |
| Analyzing reconstruction artifacts from arbitrary incomplete X-ray CT data L Borg, J Frikel, JS Jørgensen, ET Quinto SIAM journal on imaging sciences 11 (4), 2786-2814, 2018 | 52 | 2018 |
| Efficient regularization with wavelet sparsity constraints in photoacoustic tomography J Frikel, M Haltmeier Inverse Problems 34 (2), 024006, 2018 | 30 | 2018 |
| Regularization of inverse problems by filtered diagonal frame decomposition A Ebner, J Frikel, D Lorenz, J Schwab, M Haltmeier Applied and Computational Harmonic Analysis 62, 66-83, 2023 | 23 | 2023 |
| On artifacts in limited data spherical radon transform: curved observation surface LL Barannyk, J Frikel, LV Nguyen Inverse Problems 32 (1), 015012, 2015 | 23 | 2015 |
| Reconstructions in limited angle x-ray tomography: Characterization of classical reconstructions and adapted curvelet sparse regularization J Frikel Technische Universität München, 2013 | 22 | 2013 |
| A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction G Bringout, W Erb, J Frikel Inverse Problems 36 (12), 124002, 2020 | 21 | 2020 |
| Limited Data Problems for the Generalized Radon Transform in J Frikel, ET Quinto SIAM journal on mathematical analysis 48 (4), 2301-2318, 2016 | 20 | 2016 |
| Mathematical analysis of the 1D model and reconstruction schemes for magnetic particle imaging W Erb, A Weinmann, M Ahlborg, C Brandt, G Bringout, TM Buzug, J Frikel, ... Inverse Problems 34 (5), 055012, 2018 | 18 | 2018 |
| X‐ray computed tomography using curvelet sparse regularization M Wieczorek, J Frikel, J Vogel, E Eggl, F Kopp, PB Noël, F Pfeiffer, ... Medical physics 42 (4), 1555-1565, 2015 | 18 | 2015 |
| A new framework for sparse regularization in limited angle x-ray tomography J Frikel 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010 | 16 | 2010 |
| Sparse regularization of inverse problems by operator-adapted frame thresholding J Frikel, M Haltmeier Mathematics of Wave Phenomena, 163-178, 2020 | 15 | 2020 |
| Reduction of variable-truncation artifacts from beam occlusion during in situ x-ray tomography L Borg, JS Jørgensen, J Frikel, J Sporring Measurement Science and Technology 28 (12), 124004, 2017 | 12 | 2017 |
| Translation invariant diagonal frame decomposition of inverse problems and their regularization S Göppel, J Frikel, M Haltmeier Inverse Problems 39 (6), 065011, 2023 | 7 | 2023 |
| Feature reconstruction from incomplete tomographic data without detour S Göppel, J Frikel, M Haltmeier Mathematics 10 (8), 1318, 2022 | 5 | 2022 |
| Efficient regularization with wavelet sparsity constraints in PAT J Frikel, M Haltmeier arXiv preprint arXiv:1703.08240, 2017 | 5 | 2017 |
| A paradigm for the characterization of artifacts in tomography J Frikel, ET Quinto arXiv preprint arXiv:1409.4103, 2014 | 5 | 2014 |
Eric Todd QuintoRobinson Professor of Mathematics, Tufts UniversityVerificeret mail på tufts.edu