WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound

no code implementations • 17 Nov 2023 • Donya Khaledyan, Thomas J. Marini, Avice OConnell, Steven Meng, Jonah Kan, Galen Brennan, Yu Zhao, Timothy M. Baran, Kevin J. Parker

Volume sweep imaging (VSI) is an innovative approach that enables untrained operators to capture high-quality ultrasound images.

Image Segmentation Medical Image Segmentation +2

Confidence Aware Neural Networks for Skin Cancer Detection

no code implementations • 19 Jul 2021 • Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi

Deep learning (DL) models have received particular attention in medical imaging due to their promising pattern recognition capabilities.

Transfer Learning

An approach to human iris recognition using quantitative analysis of image features and machine learning

no code implementations • 12 Sep 2020 • Abolfazl Zargari Khuzani, Najmeh Mashhadi, Morteza Heidari, Donya Khaledyan

The Iris pattern is a unique biological feature for each individual, making it a valuable and powerful tool for human identification.

BIG-bench Machine Learning Iris Recognition +1

Deep learning denoising for EOG artifacts removal from EEG signals

no code implementations • 12 Sep 2020 • Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan

In the proposed scheme, we convert each EEG signal to an image to be fed to a U-NET model, which is a deep learning model usually used in image segmentation tasks.

Denoising EEG +3