Omneya Attallah

Verified email at aast.edu

Professor, Arab Academy for Science, Technology, and Maritime Transport

h-index: 38

Personal Information

Female

Not provided

Specializations

information-communication-theory

Publications

A framework for breast cancer classification using multi-DCNNs

DA Ragab, O Attallah, M Sharkas, J Ren, S Marshall

Computers in Biology and Medicine 131, 104245, 2021

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An effective mental stress state detection and evaluation system using minimum number of frontal brain electrodes

O Attallah

Diagnostics 10 (5), 292, 2020

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

O Attallah

Computers in Biology and Medicine 142, 105210, 2022

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Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection

O Attallah

Horticulturae 9 (2), 149, 2023

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Fetal brain abnormality classification from MRI images of different gestational age

O Attallah, MA Sharkas, H Gadelkarim

Brain sciences 9 (9), 231, 2019

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A Framework for Lung and Colon Cancer Diagnosis via Lightweight Deep Learning Models and Transformation Methods

O Attallah, MF Aslan, K Sabanci

Diagnostics 12 (12), 2926, 2022

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An artificial neural network stratifies the risks of Reintervention and mortality after endovascular aneurysm repair; a retrospective observational study

A Karthikesalingam, O Attallah, X Ma, SS Bahia, L Thompson, ...

PloS one 10 (7), e0129024, 2015

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

O Attallah

Expert Systems with Applications 229 (Part B), 120624, 2023

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Cervical cancer diagnosis based on multi-domain features using deep learning enhanced by handcrafted descriptors

O Attallah

Applied Sciences 13 (3), 1916, 2023

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A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs

O Attallah, J Abougharbia, M Tamazin, AA Nasser

Brain Sciences 10 (11), 864-888, 2020

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MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and Its Subtypes via AI

O Attallah

Diagnostics 11 (2), 359-384., 2021

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MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks

O Attallah, DA Ragab, M sharkas

PeerJ 8 (e10086), 2020

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Breast cancer diagnosis using an efficient CAD system based on multiple classifiers

DA Ragab, M Sharkas, O Attallah

Diagnostics 9 (4), 165, 2019

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

DA Ragab, O Attallah

Peerj Computer Science 6 (e306), 2020

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Deep learning techniques for automatic detection of embryonic neurodevelopmental disorders

O Attallah, MA Sharkas, H Gadelkarim

Diagnostics 10 (1), 27, 2020

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An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques

O Attallah

Biosensors 12 (5), 299, 2022

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DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity

O Attallah

Diagnostics 11 (11), 2034-2052, 2021

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

O Attallah, M Sharkas

PeerJ Computer Science 7, e423, 2021

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

O Attallah

Computers in Biology and Medicine 178, 108798, 2024

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

Ahmed Ayman, Omneya Attallah, Heba Shaban

2019 IEEE International Conference on Imaging Systems and Techniques (IST), 1-5, 2019

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Research Interests

Signal/Image Processing

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Machine/ Deep learning

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Biomedical Signal/Image Processing

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Data Mining

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EGMS–EWMA Math Platform

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Omneya Attallah

Personal Information

Specializations

Publications

A framework for breast cancer classification using multi-DCNNs

An effective mental stress state detection and evaluation system using minimum number of frontal brain electrodes

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

Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection

Fetal brain abnormality classification from MRI images of different gestational age

A Framework for Lung and Colon Cancer Diagnosis via Lightweight Deep Learning Models and Transformation Methods

An artificial neural network stratifies the risks of Reintervention and mortality after endovascular aneurysm repair; a retrospective observational study

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

Cervical cancer diagnosis based on multi-domain features using deep learning enhanced by handcrafted descriptors

A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs

MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and Its Subtypes via AI

MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks

Breast cancer diagnosis using an efficient CAD system based on multiple classifiers

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

Deep learning techniques for automatic detection of embryonic neurodevelopmental disorders

An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques

DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity

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

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

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

Research Interests

Signal/Image Processing

Machine/ Deep learning

Biomedical Signal/Image Processing

Data Mining

Sections

Omneya Attallah

Personal Information

Specializations

Publications

A framework for breast cancer classification using multi-DCNNs

An effective mental stress state detection and evaluation system using minimum number of frontal brain electrodes

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

Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection

Fetal brain abnormality classification from MRI images of different gestational age

A Framework for Lung and Colon Cancer Diagnosis via Lightweight Deep Learning Models and Transformation Methods

An artificial neural network stratifies the risks of Reintervention and mortality after endovascular aneurysm repair; a retrospective observational study

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

Cervical cancer diagnosis based on multi-domain features using deep learning enhanced by handcrafted descriptors

A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs

MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and Its Subtypes via AI

MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks

Breast cancer diagnosis using an efficient CAD system based on multiple classifiers

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

Deep learning techniques for automatic detection of embryonic neurodevelopmental disorders

An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques

DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity

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

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

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

Research Interests

Signal/Image Processing

Machine/ Deep learning

Biomedical Signal/Image Processing

Data Mining

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