10 citations · 14 across the 6 of their papers we have counts for
6 papers
Reconstruction of Optical Coherence Tomography Images from Wavelength-space Using Deep-learning
Maryam Viqar, Erdem Sahin, Elena Stoykova +1
Conventional Fourier-domain Optical Coherence Tomography (FD-OCT) systems depend on resampling into wavenumber (k) domain to extract the depth profile. This either necessitates add…
Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference
Aytaç Özkan, Elena Stoykova, Thomas Sikora +1
In Optical Coherence Tomography (OCT), speckle noise significantly hampers image quality, affecting diagnostic accuracy. Current methods, including traditional filtering and deep l…
Intensity-based dynamic speckle method for analysis of variable-rate dynamic events
Elena Stoykova, Lian Nedelchev, Blaga Blagoeva +4
We study efficiency of intensity-based dynamic speckle method for characterization of dynamic events which occur at variable rate in time within the temporal averaging interval. We…
Noise analysis in outdoor dynamic speckle measurement
Mikhail Levchenko, Elena Stoykova, Branimir Ivanov +4
Dynamic speckle method is an effective tool for estimation of speed of processes. Speed distribution is encoded in a map built by statistical pointwise processing of time-correlate…
Modified watershed approach for segmentation of complex optical coherence tomographic images
Maryam Viqar, Violeta Madjarova, Elena Stoykova
Watershed segmentation method has been used in various applications. But many a times, due to its over-segmentation attributes, it underperforms in several tasks where noise is a d…
Opto-UNet: Optimized UNet for Segmentation of Varicose Veins in Optical Coherence Tomography
Maryam Viqar, Violeta Madjarova, Vipul Baghel +1
Human veins are important for carrying the blood from the body-parts to the heart. The improper functioning of the human veins may arise from several venous diseases. Varicose vein…