Omneya Attallah

发表

Wearable Accelerometer and sEMG-Based Upper Limb BSN for Tele-Rehabilitation

Ahmed Baraka, Heba Shaban, Mohamad Abou El-Nasr, 2019, Applied Sciences.

An Effective Mental Stress State Detection and Evaluation System Using Minimum Number of Frontal Brain Electrodes

Omneya Attallah, Omneya Attallah, 2020, Diagnostics.

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

Omneya Attallah, Xianghong Ma, Alan Karthikesalingam, 2017, BMC Medical Informatics and Decision Making.

Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers

Omneya Attallah, Maha Sharkas, Dina A Ragab, 2019, Diagnostics.

Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques

Maha A. Sharkas, Omneya Attallah, Heba Gadelkarim, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders

Omneya Attallah, Heba Gadelkarim, Maha A Sharkas, 2020, Diagnostics.

Multi-tasks Biometric System for Personal Identification

Omneya Attallah, 2019, 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC).

Bayesian neural network approach for determining the risk of re-intervention after endovascular aortic aneurysm repair

Omneya Attallah, Xianghong Ma, Omneya Attallah, 2014, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

The risk of re-intervention after endovascular aortic aneurysm repair

Omneya Attallah, Omneya Attallah, O. Attallah, 2016 .

Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection

Omneya Attallah, Xianghong Ma, Alan Karthikesalingam, 2017, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Handling high level of censoring for endovascular aortic repair risk prediction

Omneya Attallah, Xianghong Ma, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

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

Omneya Attallah, Mohamed Tamazin, Jaidaa Abougharbia, 2019, 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA).

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

Omneya Attallah, Mohamed Tamazin, Jaidaa Abougharbia, 2020, Brain sciences.

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

Omneya Attallah, Dina A. Ragab, Maha Sharkas, 2020, PeerJ.

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

Omneya Attallah, Dina A. Ragab, Omneya Attallah, 2020, PeerJ Comput. Sci..

Automatic Breast Cancer Classification from Histopathological Images

Mohamed A. Ismail, Nagia M. Ghanem, Omneya Attallah, 2020, 2019 International Conference on Advances in the Emerging Computing Technologies (AECT).

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

Mohamed A. Ismail, Nagia M. Ghanem, Omneya Attallah, 2021, PeerJ Comput. Sci..

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

Omneya Attallah, Omneya Attallah, 2021, Frontiers in Neuroinformatics.

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

Omneya Attallah, Maha A. Sharkas, M. Sharkas, 2021, PeerJ Comput. Sci..

A framework for breast cancer classification using Multi-DCNNs

Stephen Marshall, Jinchang Ren, Omneya Attallah, 2021, Comput. Biol. Medicine.

An Artificial Neural Network Stratifies the Risks of Reintervention and Mortality after Endovascular Aneurysm Repair; a Retrospective Observational study

Omneya Attallah, Alan Karthikesalingam, A. Karthikesalingam, 2015, PloS one.