Identification of novel biomarkers for retinopathy of prematurity in preterm infants by use of innovative technologies and artificial intelligence

S Hoyek, NFS da Cruz, NA Patel, H Al-Khersan… - Progress in Retinal and …, 2023 - Elsevier
Retinopathy of prematurity (ROP) is a leading cause of preventable vision loss in preterm
infants. While appropriate screening is crucial for early identification and treatment of ROP …

ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration

O Attallah - Computers in biology and medicine, 2022 - Elsevier
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …

Advances in artificial intelligence applications for ocular surface diseases diagnosis

Y Ji, S Liu, X Hong, Y Lu, X Wu, K Li, K Li… - Frontiers in Cell and …, 2022 - frontiersin.org
In recent years, with the rapid development of computer technology, continual optimization
of various learning algorithms and architectures, and establishment of numerous large …

Tomato leaf disease classification via compact convolutional neural networks with transfer learning and feature selection

O Attallah - Horticulturae, 2023 - mdpi.com
Tomatoes are one of the world's greatest valuable vegetables and are regarded as the
economic pillar of numerous countries. Nevertheless, these harvests remain susceptible to a …

CAD system for inter-turn fault diagnosis of offshore wind turbines via multi-CNNs & feature selection

O Attallah, RA Ibrahim, NE Zakzouk - Renewable Energy, 2023 - Elsevier
Condition monitoring, fault diagnosis, and scheduled maintenance of wind turbines (WTs)
are becoming a necessity to maximize their economic benefits and reduce their downtime …

A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices

O Attallah, A Samir - Applied Soft Computing, 2022 - Elsevier
The quick diagnosis of the novel coronavirus (COVID-19) disease is vital to prevent its
propagation and improve therapeutic outcomes. Computed tomography (CT) is believed to …

An intelligent ECG-based tool for diagnosing COVID-19 via ensemble deep learning techniques

O Attallah - Biosensors, 2022 - mdpi.com
Diagnosing COVID-19 accurately and rapidly is vital to control its quick spread, lessen
lockdown restrictions, and decrease the workload on healthcare structures. The present …

CerCan· Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning

O Attallah - Expert Systems with Applications, 2023 - Elsevier
Cervical cancer ranks among the most prevalent causes of fatality in women around the
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …

RADIC: A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics

O Attallah - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
Deep learning (DL) algorithms have demonstrated a high ability to perform speedy and
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …

A framework for lung and colon cancer diagnosis via lightweight deep learning models and transformation methods

O Attallah, MF Aslan, K Sabanci - Diagnostics, 2022 - mdpi.com
Among the leading causes of mortality and morbidity in people are lung and colon cancers.
They may develop concurrently in organs and negatively impact human life. If cancer is not …