Handling high level of censoring for endovascular aortic repair risk prediction. - Omneya Attallah; Xianghong Ma (GlobalSIP, 2015)

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)

Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques. - Omneya Attallah; Heba Gadelkarim; Maha A. Sharkas (ICMLA, 2018)

Multi-tasks Biometric System for Personal Identification. - Omneya Attallah (CSE/EUC, 2019)

A Novel BCI System Based on Hybrid Features for Classifying Motor Imagery Tasks. - Jaidaa Abougharbia; Omneya Attallah; Mohamed Tamazin; A. A. A. Nasser (IPTA, 2019)

An Efficient Human Activity Recognition Framework Based on Wearable IMU Wrist Sensors. - Ahmed Ayman; Omneya Attallah; Heba A. Shaban (IST, 2019)

Smart Real-Time Autonomous Navigation System using integration of MEMS-based Low-Cost IMU/GPS. - Nader Nagui; Omneya Attallah; Mohamed Saad Zaghloul; Iman G. Morsi (UEMCON, 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)

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)

CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes. - Omneya Attallah (Frontiers Neuroinformatics, 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)

GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases. - Omneya Attallah; Maha A. Sharkas (PeerJ Comput. Sci., 2021)

A Review of Deep Learning Methods for Multi-omics Integration in Precision Medicine. - Shaza B. Zaghlool; Omneya Attallah (BIBM, 2022)

A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode. - Dawlat Al-Saadany; Omneya Attallah; Khaled Elzaafarany; A. A. A. Nasser (ICCS (1), 2022)

Deep Learning-Based CAD System for COVID-19 Diagnosis via Spectral-Temporal Images. - Omneya Attallah (ICICM, 2022)

A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices. - Omneya Attallah; Ahmed Samir (Appl. Soft Comput., 2022)

ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration. - Omneya Attallah (Comput. Biol. Medicine, 2022)

Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs. - Omneya Attallah; Dina Ahmed Ragab (Biomed. Signal Process. Control., 2023)

Stress Management Using Virtual Reality-Based Attention Training. - Rojaina Mahmoud; Mona Mamdouh; Omneya Attallah; Ahmad Al-Kabbany (CoRR, 2023)

CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning. - Omneya Attallah (Expert Syst. Appl., 2023)

Beyond Spatial: A Wavelet Fusion-Based Deep Learning CAD for Skin Cancer Diagnosis. - Omneya Attallah (ISPR (3), 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)

Acute lymphocytic leukemia detection and subtype classification via extended wavelet pooling based-CNNs and statistical-texture features. - Omneya Attallah (Image Vis. Comput., 2024)

InceptionNeXt-Transformer: A novel multi-scale deep feature learning architecture for multimodal breast cancer diagnosis. - Ishak Paçal; Omneya Attallah (Biomed. Signal Process. Control., 2025)

Hybrid deep learning model for automated colorectal cancer detection using local and global feature extraction. - Ishak Paçal; Omneya Attallah (Knowl. Based Syst., 2025)