Mohanad Mohammed

According to our database, Mohanad Mohammed authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

Deep learning models for the analysis of high-dimensional survival data with time-varying covariates while handling missing data.

Sarah Ogutu, Mohanad Mohammed, Henry Mwambi

Discov. Artif. Intell., December, 2025

Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach.

Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed

CoRR, March, 2025

Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks.

Meshrif Alruily, Murtada K. Elbashir, Mohamed M. Ezz, Bader Aldughayfiq, Majed Abdullah Alrowaily, Hisham Allahem, Mohanad Mohammed, Elsayed Mostafa, Ayman Mohamed Mostafa

Int. J. Intell. Syst., 2025

Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification.

Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed

IEEE Access, 2025

2024

Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification.

Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed

CoRR, 2024

LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification.

Fadi Alharbi, Aleksandar Vakanski, Murtada Khalafallah Elbashir, Mohanad Mohammed

CoRR, 2024

2019

Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data.

Murtada Khalafallah Elbashir, Mohamed M. Ezz, Mohanad Mohammed, Said S. Saloum

IEEE Access, 2019