Abedalrhman Alkhateeb

According to our database, Abedalrhman Alkhateeb authored at least 23 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Graphsage-based approach for age-specific multi-omics biomarker identification in bladder cancer.

Usman Fakhar, Mohammad Elshafie, Abedalrhman Alkhateeb

Netw. Model. Anal. Health Informatics Bioinform., December, 2026

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification.

Mohammed Maaz Sibhai, Abedalrhman Alkhateeb, Saad B. Ahmed

CoRR, April, 2026

AE-CTGAN: Autoencoder-Conditional Tabular GAN for Multi-Omics Imbalanced Class Handling and Cancer Outcome Prediction.

Ibrahim Al-Hurani, Sara H. ElFar, Abedalrhman Alkhateeb, Salama Ikki

Algorithms, 2026

2025

Correction: Software effort estimation using convolutional neural network and fuzzy clustering.

Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif

Neural Comput. Appl., April, 2025

Two-stage object detection in low-light environments using deep learning image enhancement.

Ghaith Al-Refai, Hisham ElMoaqet, Abdullah Al-Refai, Ahmad AlZu'bi, Tawfik Al Hadhrami, Abedalrhman Alkhateeb

PeerJ Comput. Sci., 2025

Machine Learning Models for Assessing Depression in Syrian Adolescent Refugees in Jordan.

Rand Habashneh, Hazem Qattous, Malek M. Alsmadi, Abedalrhman Alkhateeb

Proceedings of the Bioinformatics and Biomedical Engineering, 2025

Explainable AI for Clinical Decision-Making: Unlocking the Potential of MSI Thresholds in Bladder Cancer.

Amro Sayed Ahmad, Firas Alghanim, Bashier ElKarami, Mousa AbuGhosh, Hazem Qattous, Abedalrhman Alkhateeb

Proceedings of the Bioinformatics and Biomedical Engineering, 2025

2024

NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data.

Ibrahim Abed Al-Ghafer, Noor AlAfeshat, Lujain Alshomali, Shaheen Alanee, Hazem Qattous, Mohammad Azzeh, Abedalrhman Alkhateeb

Netw. Model. Anal. Health Informatics Bioinform., December, 2024

Software effort estimation using convolutional neural network and fuzzy clustering.

Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif

Neural Comput. Appl., August, 2024

An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification.

Ibrahim Al-Hurani, Abedalrhman Alkhateeb, Salama Ikki

CoRR, 2024

Machine Learning Model for Multiomics Biomarkers Identification for Menopause Status in Breast Cancer.

Firas Alghanim, Ibrahim Al-Hurani, Hazem Qattous, Abdullah Al-Refai, Osamah Batiha, Abedalrhman Alkhateeb, Salama Ikki

Algorithms, 2024

Machine Learning Model for Anxiety Disorder Diagnosis Based on Sensory Time-Series Data.

Usman Fakhar, Malek M. Alsmadi, Abedalrhman Alkhateeb

Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2023

Explainable artificial intelligence model for identifying COVID-19 gene biomarkers.

Fatma Hilal Yagin, Ipek Balikci Cicek, Abedalrhman Alkhateeb, Burak Yagin, Cemil Colak, Mohammad Azzeh, Sami Akbulut

Comput. Biol. Medicine, March, 2023

Machine Learning Model to Predict Autism Spectrum Disorder Using Eye Gaze Tracking.

Usman Fakhar, Bashier ElKarami, Abedalrhman Alkhateeb

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

The Epidemiology and Trends of Cancer in Jordan, 2012-2018.

Mohammad Asad, Abdullah Al-Refai, Saqr Abu Shattal, Abedalrhman Alkhateeb

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Establishing a Correlation of Clinical Characteristics with the Level of Tumor Mutation Burden in Urothelial Bladder Carcinoma.

Lujain Alshomali, Rania Khorma, Abdullah Al-Refai, Abedalrhman Alkhateeb

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network.

Abedalrhman Alkhateeb, Bashier ElKarami, Hazem Qattous, Abdullah Al-Refai, Noor AlAfeshat, Behnam Shahrrava, Mohammad Azzeh

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020

A novel approach to identify subtype-specific network biomarkers of breast cancer survivability.

Sheikh Jubair, Abedalrhman Alkhateeb, Ashraf Abou Tabl, Luis Rueda, Alioune Ngom

Netw. Model. Anal. Health Informatics Bioinform., 2020

2018

Identification of the Treatment Survivability Gene Biomarkers of Breast Cancer Patients via a Tree-Based Approach.

Ashraf Abou Tabl, Abedalrhman Alkhateeb, Luis Rueda, Waguih H. ElMaraghy, Alioune Ngom

Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Predicting Tumor Locations in Prostate Cancer Tissue Using Gene Expression.

Osama Hamzeh, Abedalrhman Alkhateeb, Luis Rueda

Proceedings of the Bioinformatics and Biomedical Engineering, 2018

2017

Zseq: An Approach for Preprocessing Next-Generation Sequencing Data.

Abedalrhman Alkhateeb, Luis Rueda

J. Comput. Biol., 2017

Finding Transcripts Associated with Prostate Cancer Gleason Stages Using Next Generation Sequencing and Machine Learning Techniques.

Osama Hamzeh, Abedalrhman Alkhateeb, Iman Rezaeian, Aram Karkar, Luis Rueda

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016

Identification of discriminative genes for predicting breast cancer subtypes.

Roohollah Etemadi, Abedalrhman Alkhateeb, Iman Rezaeian, Luis Rueda

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016