35 citations · 35 across the 3 of their papers we have counts for
3 papers
Bridging the gap: Using deep learning to reconstruct noise-reduced super-resolved OCT images from gapped spectra
Jonas Nienhaus, Thomas Schlegl, Wolfgang Drexler +2
Fourier-domain (FD) optical coherence tomography (OCT) depends on broadband sources to maximize axial resolution and image quality. However, these lasers significantly drive device…
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images
Thomas Schlegl, Heiko Stino, Michael Niederleithner +5
The automatic detection and localization of anatomical features in retinal imaging data are relevant for many aspects. In this work, we follow a data-centric approach to optimize c…
Identifying and Categorizing Anomalies in Retinal Imaging Data
Philipp Seeböck, Sebastian Waldstein, Sophie Klimscha +5
The identification and quantification of markers in medical images is critical for diagnosis, prognosis and management of patients in clinical practice. Supervised- or weakly super…