| 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 | 127 | 2021 |
| An effective mental stress state detection and evaluation system using minimum number of frontal brain electrodes O Attallah Diagnostics 10 (5), 292, 2020 | 99 | 2020 |
| 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 | 73 | 2022 |
| Fetal brain abnormality classification from MRI images of different gestational age O Attallah, MA Sharkas, H Gadelkarim Brain sciences 9 (9), 231, 2019 | 71 | 2019 |
| 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 | 59 | 2015 |
| 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 | 56 | 2020 |
| 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 | 55 | 2020 |
| 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 | 55 | 2020 |
| Deep learning techniques for automatic detection of embryonic neurodevelopmental disorders O Attallah, MA Sharkas, H Gadelkarim Diagnostics 10 (1), 27, 2020 | 54 | 2020 |
| Breast cancer diagnosis using an efficient CAD system based on multiple classifiers DA Ragab, M Sharkas, O Attallah Diagnostics 9 (4), 165, 2019 | 53 | 2019 |
| MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and Its Subtypes via AI O Attallah Diagnostics 11 (2), 359-384., 2021 | 45 | 2021 |
| Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection O Attallah, A Karthikesalingam, PJE Holt, MM Thompson, R Sayers, ... Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2017 | 41 | 2017 |
| DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity O Attallah Diagnostics 11 (11), 2034-2052, 2021 | 39 | 2021 |
| An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques O Attallah Biosensors 12 (5), 299, 2022 | 38 | 2022 |
| Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images O Attallah, F Anwar, NM Ghanem, MA Ismail PeerJ Computer Science 7, e493, 2021 | 37 | 2021 |
| 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 | 36 | 2019 |
| CoMB-Deep: Composite Deep Learning-based Pipeline for Classifying Childhood Medulloblastoma and its Classes O Attallah Frontiers in Neuroinformatics 15 (663592), 21, 2021 | 35 | 2021 |
| Wearable accelerometer and sEMG-based upper limb BSN for tele-rehabilitation A Baraka, H Shaban, M Abou El-Nasr, O Attallah Applied Sciences 9 (14), 2795, 2019 | 35 | 2019 |
| Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention O Attallah, A Karthikesalingam, PJE Holt, MM Thompson, R Sayers, ... BMC Medical Informatics and Decision Making 17 (1), 115, 2017 | 35 | 2017 |
| A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices O Attallah, A Samir Applied Soft Computing 128, 109401, 2022 | 34 | 2022 |
