Omneya Attallah

According to our database, Omneya Attallah authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Acute lymphocytic leukemia detection and subtype classification via extended wavelet pooling based-CNNs and statistical-texture features.

Omneya Attallah

Image Vis. Comput., 2024

Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning.

Omneya Attallah

Comput. Biol. Medicine, 2024

2023

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

Omneya Attallah

Expert Syst. Appl., November, 2023

Stress Management Using Virtual Reality-Based Attention Training.

Rojaina Mahmoud, Mona Mamdouh, Omneya Attallah, Ahmad Al-Kabbany

CoRR, 2023

Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs.

Omneya Attallah, Dina Ahmed Ragab

Biomed. Signal Process. Control., 2023

2022

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

Omneya Attallah

Comput. Biol. Medicine, 2022

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

Omneya Attallah, Ahmed Samir

Appl. Soft Comput., 2022

Deep Learning-Based CAD System for COVID-19 Diagnosis via Spectral-Temporal Images.

Omneya Attallah

Proceedings of the ICICM 2022: The 12th International Conference on Information Communication and Management, London, United Kingdom, July 13, 2022

A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode.

Dawlat Al-Saadany, Omneya Attallah, Khaled Elzaafarany, A. A. A. Nasser

Proceedings of the Computational Science - ICCS 2022, 2022

A Review of Deep Learning Methods for Multi-omics Integration in Precision Medicine.

Shaza B. Zaghlool, Omneya Attallah

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases.

Omneya Attallah, Maha A. Sharkas

PeerJ Comput. Sci., 2021

Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images.

Omneya Attallah, Fatma Anwar, Nagia M. Ghanem, Mohamed A. Ismail

PeerJ Comput. Sci., 2021

CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.

Omneya Attallah

Frontiers Neuroinformatics, 2021

A framework for breast cancer classification using Multi-DCNNs.

Dina Ahmed Ragab, Omneya Attallah, Maha A. Sharkas, Jinchang Ren, Stephen Marshall

Comput. Biol. Medicine, 2021

2020

FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features.

Dina Ahmed Ragab, Omneya Attallah

PeerJ Comput. Sci., 2020

Smart Real-Time Autonomous Navigation System using integration of MEMS-based Low-Cost IMU/GPS.

Nader Nagui, Omneya Attallah, Mohamed Saad Zaghloul, Iman Morsi

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

2019

An Efficient Human Activity Recognition Framework Based on Wearable IMU Wrist Sensors.

Ahmed Ayman, Omneya Attallah, Heba A. Shaban

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A Novel BCI System Based on Hybrid Features for Classifying Motor Imagery Tasks.

Jaidaa Abougharbia, Omneya Attallah, Mohamed Tamazin, A. A. A. Nasser

Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Multi-tasks Biometric System for Personal Identification.

Omneya Attallah

Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

2018

Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques.

Omneya Attallah, Heba Gadelkarim, Maha A. Sharkas

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.

Omneya Attallah, Alan Karthikesalingam, Peter J. E. Holt, Matthew M. Thompson, Rob Sayers, Matthew J. Bown, Eddie C. Choke, Xianghong Ma

BMC Medical Informatics Decis. Mak., 2017

2015

Handling high level of censoring for endovascular aortic repair risk prediction.

Omneya Attallah, Xianghong Ma

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015