10 citations as recorded by crossref.

1. Deep learning for tilted-wave interferometry L. Hoffmann et al. 10.1515/teme-2021-0103
2. Deep neural networks for computational optical form measurements L. Hoffmann & C. Elster 10.5194/jsss-9-301-2020
3. Round robin comparison study on the form measurement of optical freeform surfaces I. Fortmeier et al. 10.1186/s41476-019-0124-1
4. Uncertainty quantification by ensemble learning for computational optical form measurements L. Hoffmann et al. 10.1088/2632-2153/ac0495
5. Effects of misalignments on the modulation transfer function measurement of camera lenses analyzed in optomechanical simulations M. Schenker et al. 10.1117/1.OE.59.3.034101
6. Comparison of form measurement results for optical aspheres and freeform surfaces I. Fortmeier & M. Schulz 10.1088/1361-6501/ac47bb
7. Bayesian uncertainty evaluation applied to the tilted-wave interferometer M. Marschall et al. 10.1364/OE.524241
8. Experimental Design for Virtual Experiments in Tilted-Wave Interferometry G. Scholz et al. 10.3390/metrology2010006
9. Development of a metrological reference system for the form measurement of aspheres and freeform surfaces based on a tilted-wave interferometer I. Fortmeier et al. 10.1088/1361-6501/ac47bd
10. Investigation of the uncertainty contributions of the alignment of PTB’s double-ended interferometer by virtual experiments M. Fischedick et al. 10.1088/1681-7575/ac2724