Omneya Attallah

27 papers C 1Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Impact of magnification on deep learning approaches through comprehensive comparative study of histopathological breast cancer classification.
Biomed. Signal Process. Control.
Omneya Attallah, Ishak Paçal
2026 J jnl
MERGE: Mammogram-Enhanced Representation via Wavelet-Guided CNNs for Computer-Aided Diagnosis of Breast Cancer.
Mach. Learn. Knowl. Extr.
Omneya Attallah
2025 J jnl
Hybrid deep learning model for automated colorectal cancer detection using local and global feature extraction.
Knowl. Based Syst.
Ishak Paçal, Omneya Attallah
2025 J jnl
InceptionNeXt-Transformer: A novel multi-scale deep feature learning architecture for multimodal breast cancer diagnosis.
Biomed. Signal Process. Control.
Ishak Paçal, Omneya Attallah
2024 J jnl
Acute lymphocytic leukemia detection and subtype classification via extended wavelet pooling based-CNNs and statistical-texture features.
Image Vis. Comput.
Omneya Attallah
2024 — conf
Beyond Spatial: A Wavelet Fusion-Based Deep Learning CAD for Skin Cancer Diagnosis.
ISPR (3)
Omneya Attallah
2024 J jnl
Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning.
Comput. Biol. Medicine
Omneya Attallah
2023 J jnl
Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs.
Biomed. Signal Process. Control.
Omneya Attallah, Dina Ahmed Ragab
2023 J jnl
CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning.
Expert Syst. Appl.
Omneya Attallah
2023 J jnl
Stress Management Using Virtual Reality-Based Attention Training.
CoRR
Rojaina Mahmoud, Mona Mamdouh, Omneya Attallah, Ahmad Al-Kabbany
2022 — conf
A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode.
ICCS (1)
Dawlat Al-Saadany, Omneya Attallah, Khaled Elzaafarany, A. A. A. Nasser
2022 — conf
A Review of Deep Learning Methods for Multi-omics Integration in Precision Medicine.
BIBM
Shaza B. Zaghlool, Omneya Attallah
2022 J jnl
A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices.
Appl. Soft Comput.
Omneya Attallah, Ahmed Samir
2022 — conf
Deep Learning-Based CAD System for COVID-19 Diagnosis via Spectral-Temporal Images.
ICICM
Omneya Attallah
2022 J jnl
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration.
Comput. Biol. Medicine
Omneya Attallah
2021 J jnl
A framework for breast cancer classification using Multi-DCNNs.
Comput. Biol. Medicine
Dina Ahmed Ragab, Omneya Attallah, Maha A. Sharkas, Jinchang Ren, Stephen Marshall
2021 J jnl
CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.
Frontiers Neuroinformatics
Omneya Attallah
2021 J jnl
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases.
PeerJ Comput. Sci.
Omneya Attallah, Maha A. Sharkas
2021 J jnl
Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images.
PeerJ Comput. Sci.
Omneya Attallah, Fatma Anwar, Nagia M. Ghanem, Mohamed A. Ismail
2020 J jnl
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features.
PeerJ Comput. Sci.
Dina Ahmed Ragab, Omneya Attallah
2020 — conf
Smart Real-Time Autonomous Navigation System using integration of MEMS-based Low-Cost IMU/GPS.
UEMCON
Nader Nagui, Omneya Attallah, Mohamed Saad Zaghloul, Iman G. Morsi
2019 — conf
A Novel BCI System Based on Hybrid Features for Classifying Motor Imagery Tasks.
IPTA
Jaidaa Abougharbia, Omneya Attallah, Mohamed Tamazin, A. A. A. Nasser
2019 — conf
An Efficient Human Activity Recognition Framework Based on Wearable IMU Wrist Sensors.
IST
Ahmed Ayman, Omneya Attallah, Heba A. Shaban
2019 — conf
Multi-tasks Biometric System for Personal Identification.
CSE/EUC
Omneya Attallah
2018 C conf
Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques.
ICMLA
Omneya Attallah, Heba Gadelkarim, Maha A. Sharkas
2017 J jnl
Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.
BMC Medical Informatics Decis. Mak.
Omneya Attallah, Alan Karthikesalingam, Peter J. E. Holt, Matthew M. Thompson, Rob Sayers, Matthew J. Bown, Eddie C. Choke, Xianghong Ma
2015 — conf
Handling high level of censoring for endovascular aortic repair risk prediction.
GlobalSIP
Omneya Attallah, Xianghong Ma