10 citations · 20 across the 6 of their papers we have counts for
6 papers · 1 filter
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound
Donya Khaledyan, Thomas J. Marini, Avice OConnell +6
Objective. Limited access to breast cancer diagnosis globally leads to delayed treatment. Ultrasound, an effective yet underutilized method, requires specialized training for sonog…
Confidence Aware Neural Networks for Skin Cancer Detection
Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh +4
Deep learning (DL) models have received particular attention in medical imaging due to their promising pattern recognition capabilities. However, Deep Neural Networks (DNNs) requir…
A practical method for pupil segmentation in challenging conditions
Donya Khaledyan, Mohammad Eshghi, Morteza Heidari +2
Various methods have been proposed for authentication, including password or pattern drawing, which is clearly visible on personal electronic devices. However, these methods of aut…
Image quality enhancement in wireless capsule endoscopy with adaptive fraction gamma transformation and unsharp masking filter
Rezvan Ezatian, Donya Khaledyan, Kian Jafari +3
Wireless Capsule Endoscopy (WCE) presented in 2001 as one of the key approaches to observe the entire gastrointestinal (GI) tract, generally the small bowels. It has been used to d…
Low-Cost Implementation of Bilinear and Bicubic Image Interpolation for Real-Time Image Super-Resolution
Donya Khaledyan, Abdolah Amirany, Kian Jafari +3
Super-resolution imaging (S.R.) is a series of techniques that enhance the resolution of an imaging system, especially in surveillance cameras where simplicity and low cost are of…
Deep learning denoising for EOG artifacts removal from EEG signals
Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari +1
There are many sources of interference encountered in the electroencephalogram (EEG) recordings, specifically ocular, muscular, and cardiac artifacts. Rejection of EEG artifacts is…