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20232025
most citedOpto-UNet: Optimized UNet for Segmentation of Varicose Veins in Optical Coherence Tomography

10 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

physics.optics2025★ 2 cited

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…

eess.IV2024

WAVE-UNET: Wavelength based Image Reconstruction method using attention UNET for OCT images

Maryam Viqar, Erdem Sahin, Violeta Madjarova +2

In this work, we propose to leverage a deep-learning (DL) based reconstruction framework for high quality Swept-Source Optical Coherence Tomography (SS-OCT) images, by incorporatin…

eess.IV2023★ 1 cited

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…

eess.IV2023★ 10 cited

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…

cs.CV2023★ 4 cited

Frequency-domain Blind Quality Assessment of Blurred and Blocking-artefact Images using Gaussian Process Regression model

Maryam Viqar, Athar A. Moinuddin, Ekram Khan +1

Most of the standard image and video codecs are block-based and depending upon the compression ratio the compressed images/videos suffer from different distortions. At low ratios,…

eess.IV2023

Deep Learning based Segmentation of Optical Coherence Tomographic Images of Human Saphenous Varicose Vein

Maryam Viqar, Violeta Madjarova, Amit Kumar Yadav +2

Deep-learning based segmentation model is proposed for Optical Coherence Tomography images of human varicose vein based on the U-Net model employing atrous convolution with residua…