@inproceedings{neidhard-cars-2020,
author = {M. Neidhardt and M. Bengs and S. Latus and M. Schlüter and T. Saathoff and A. Schlaefer},
title = {4D Deep learning for real-time volumetric optical coherence elastography.},
journal = {International Journal of Computer Assisted Radiology and Surgery.},
year = {2020},
pages = {1861-6429},
booktitle = {International Journal of Computer Assisted Radiology and Surgery 2020},
doi = {10.1007/s11548-020-02261-5},
url = {https://doi.org/10.1007/s11548-020-02261-5},
abstract = {Elasticity of soft tissue provides valuable information to physicians during treatment and diagnosis of diseases. A number of approaches have been proposed to estimate tissue stiffness from the shear wave velocity. Optical coherence elastography offers a particularly high spatial and temporal resolution. However, current approaches typically acquire data at different positions sequentially, making it slow and less practical for clinical application}
}

@COMMENT{Bibtex file generated on 2026-5-28 with typo3 si_bibtex plugin. Data from https://www.tuhh.de/mtec/publications/2024-2020 }