most citedAn Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2026

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

Mohammed Maaz Sibhai, Abedalrhman Alkhateeb, Saad B. Ahmed

To ensure safe clinical integration, deep learning models must provide more than just high accuracy; they require dependable uncertainty quantification. While current Medical Visio…

cs.LG2024★ 1 cited

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

Ibrahim Al-Hurani, Abedalrhman Alkhateeb, Salama Ikki

In the relentless efforts in enhancing medical diagnostics, the integration of state-of-the-art machine learning methodologies has emerged as a promising research area. In molecula…