| 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 | 162 | 2021 |
| An effective mental stress state detection and evaluation system using minimum number of frontal brain electrodes O Attallah Diagnostics 10 (5), 292, 2020 | 122 | 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 | 100 | 2022 |
| Fetal brain abnormality classification from MRI images of different gestational age O Attallah, MA Sharkas, H Gadelkarim Brain sciences 9 (9), 231, 2019 | 80 | 2019 |
| Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection O Attallah Horticulturae 9 (2), 149, 2023 | 66 | 2023 |
| 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 | 66 | 2020 |
| 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 | 66 | 2020 |
| 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 | 66 | 2015 |
| MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and Its Subtypes via AI O Attallah Diagnostics 11 (2), 359-384., 2021 | 61 | 2021 |
| Breast cancer diagnosis using an efficient CAD system based on multiple classifiers DA Ragab, M Sharkas, O Attallah Diagnostics 9 (4), 165, 2019 | 61 | 2019 |
| Deep learning techniques for automatic detection of embryonic neurodevelopmental disorders O Attallah, MA Sharkas, H Gadelkarim Diagnostics 10 (1), 27, 2020 | 60 | 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 | 59 | 2020 |
| An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques O Attallah Biosensors 12 (5), 299, 2022 | 54 | 2022 |
| 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 | 53 | 2022 |
| DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity O Attallah Diagnostics 11 (11), 2034-2052, 2021 | 52 | 2021 |
| 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 | 47 | 2021 |
| Cervical cancer diagnosis based on multi-domain features using deep learning enhanced by handcrafted descriptors O Attallah Applied Sciences 13 (3), 1916, 2023 | 46 | 2023 |
| A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices O Attallah, A Samir Applied Soft Computing 128, 109401, 2022 | 44 | 2022 |
| CoMB-Deep: Composite Deep Learning-based Pipeline for Classifying Childhood Medulloblastoma and its Classes O Attallah Frontiers in Neuroinformatics 15 (663592), 21, 2021 | 44 | 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 | 44 | 2017 |
