| A Novel Compressed Sensing Scheme for Photoacoustic Tomography M Sandbichler, F Krahmer, T Berer, P Burgholzer, M Haltmeier SIAM J. Appl. Math. 75 (6), 2475–2494, 2015 | 54 | 2015 |
| A sparsification and reconstruction strategy for compressed sensing photoacoustic tomography M Haltmeier, M Sandbichler, T Berer, J Bauer-Marschallinger, ... The Journal of the Acoustical Society of America 143 (6), 3838-3848, 2018 | 38 | 2018 |
| Total Variation Minimization in Compressed Sensing F Krahmer, C Kruschel, M Sandbichler Compressed Sensing and its Applications, 333-358, 2017 | 35 | 2017 |
| Modification of dimension-splitting methods—overcoming the order reduction due to corner singularities T Hell, A Ostermann, M Sandbichler IMA Journal of Numerical Analysis 35 (3), 1078-1091, 2015 | 15 | 2015 |
| Sparsifying transformations of photoacoustic signals enabling compressed sensing algorithms P Burgholzer, M Sandbichler, F Krahmer, T Berer, M Haltmeier Photons Plus Ultrasound: Imaging and Sensing 2016 9708, 970828, 2016 | 9 | 2016 |
| Online and Stable Learning of Analysis Operators M Sandbichler, K Schnass arXiv preprint arXiv:1704.00227, 2017 | 6 | 2017 |
| A Framework for Compressive Time-of-Flight 3D Sensing S Antholzer, C Wolf, M Sandbichler, M Dielacher, M Haltmeier arXiv preprint arXiv:1710.10444, 2017 | 4* | 2017 |
| Compressive time-of-flight imaging S Antholzer, C Wolf, M Sandbichler, M Dielacher, M Haltmeier Sampling Theory and Applications (SampTA), 2017 International Conference on …, 2017 | 3 | 2017 |
Markus HaltmeierProfessor of Mathematics, University of Innsbruck在 uibk.ac.at 的电子邮件经过验证
