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2020 – today
- 2024
[j12]Omneya Attallah
:
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 178: 108798 (2024)- [j11]Omneya Attallah:
Acute lymphocytic leukemia detection and subtype classification via extended wavelet pooling based-CNNs and statistical-texture features. Image Vis. Comput. 147: 105064 (2024) - 2023
- [j10]Omneya Attallah, Dina Ahmed Ragab:
Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs. Biomed. Signal Process. Control. 80(Part): 104273 (2023) - [j9]Omneya Attallah:
CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning. Expert Syst. Appl. 229(Part B): 120624 (2023) - [i1]Rojaina Mahmoud, Mona Mamdouh, Omneya Attallah, Ahmad Al-Kabbany:
Stress Management Using Virtual Reality-Based Attention Training. CoRR abs/2312.06025 (2023) - 2022
- [j8]Omneya Attallah, Ahmed Samir:
A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices. Appl. Soft Comput. 128: 109401 (2022) - [j7]Omneya Attallah:
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration. Comput. Biol. Medicine 142: 105210 (2022) - [c9]Shaza B. Zaghlool, Omneya Attallah:
A Review of Deep Learning Methods for Multi-omics Integration in Precision Medicine. BIBM 2022: 2208-2215 - [c8]Dawlat Al-Saadany, Omneya Attallah, Khaled Elzaafarany, A. A. A. Nasser:
A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode. ICCS (1) 2022: 546-553 - [c7]Omneya Attallah:
Deep Learning-Based CAD System for COVID-19 Diagnosis via Spectral-Temporal Images. ICICM 2022: 25-33 - 2021
- [j6]Dina Ahmed Ragab, Omneya Attallah, Maha A. Sharkas, Jinchang Ren, Stephen Marshall:
A framework for breast cancer classification using Multi-DCNNs. Comput. Biol. Medicine 131: 104245 (2021) - [j5]Omneya Attallah:
CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes. Frontiers Neuroinformatics 15: 663592 (2021) - [j4]Omneya Attallah, Maha A. Sharkas:
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases. PeerJ Comput. Sci. 7: e423 (2021) - [j3]Omneya Attallah, Fatma Anwar, Nagia M. Ghanem, Mohamed A. Ismail:
Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images. PeerJ Comput. Sci. 7: e493 (2021) - 2020
- [j2]Dina Ahmed Ragab, Omneya Attallah:
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features. PeerJ Comput. Sci. 6: e306 (2020) - [c6]Nader Nagui, Omneya Attallah, Mohamed Saad Zaghloul, Iman Morsi:
Smart Real-Time Autonomous Navigation System using integration of MEMS-based Low-Cost IMU/GPS. UEMCON 2020: 855-861
2010 – 2019
- 2019
- [c5]Omneya Attallah:
Multi-tasks Biometric System for Personal Identification. CSE/EUC 2019: 110-114 - [c4]Jaidaa Abougharbia, Omneya Attallah, Mohamed Tamazin, A. A. A. Nasser:
A Novel BCI System Based on Hybrid Features for Classifying Motor Imagery Tasks. IPTA 2019: 1-6 - [c3]Ahmed Ayman, Omneya Attallah, Heba A. Shaban:
An Efficient Human Activity Recognition Framework Based on Wearable IMU Wrist Sensors. IST 2019: 1-5 - 2018
- [c2]Omneya Attallah, Heba Gadelkarim, Maha A. Sharkas:
Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques. ICMLA 2018: 1371-1376 - 2017
- [j1]Omneya Attallah, Alan Karthikesalingam, Peter J. E. Holt, Matthew M. Thompson, Rob Sayers, Matthew J. Bown, Eddie C. Choke, Xianghong Ma:
Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention. BMC Medical Informatics Decis. Mak. 17(1): 115:1-115:19 (2017) - 2015
- [c1]Omneya Attallah, Xianghong Ma:
Handling high level of censoring for endovascular aortic repair risk prediction. GlobalSIP 2015: 532-536
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last updated on 2024-08-03 20:17 CEST by the dblp team
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