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

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

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

no code implementations • 11 Jun 2020 • Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng

In order to address this challenge, we in this study develop and test a new computer-aided diagnosis (CAD) scheme.

Decision Making Transfer Learning