Search Results for author:
Found 3 papers, 1 papers with code
Cross-attention learning enables real-time nonuniform rotational distortion correction in OCT
Nonuniform rotational distortion (NURD) correction is vital for endoscopic optical coherence tomography (OCT) imaging and its functional extensions, such as angiography and elastography.
Annotation-efficient learning for OCT segmentation
Compared to the widely-used U-Net model with 100% training data, our method only requires ~10% of the data for achieving the same segmentation accuracy, and it speeds the training up to ~3. 5 times.
Risk Modelling on Liquidations with Lévy Processes
The results have semi-explicit expressions in terms of the scale functions and the L\'{e}vy triplets associated with the two underlying L\'{e}vy processes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
