activity
20242026
most citedBreaking Down the Hierarchy: A New Approach to Leukemia Classification

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

From Pixels to Policy: A Multi-Agent System for Intervention and Geo-Spatial Decision Support

Hosam Elgendy, Utkarsh Mall

Urban environments are shaped by design choices with long-term implications for health, safety, and quality of life, yet evaluating proposed interventions remains costly, time-cons…

cs.CL2026

Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor

Ahmed Sharshar, Hosam Elgendy, Saad El Dine Ahmed +2

Dark humor often relies on subtle cultural nuances and implicit cues that require contextual reasoning to interpret, posing safety challenges that current static benchmarks fail to…

cs.CV2025

ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation

Hosam Elgendy, Ahmed Sharshar, Ahmed Aboeitta +1

Understanding environmental changes from remote sensing imagery is vital for climate resilience, urban planning, and ecosystem monitoring. Yet, current vision language models (VLMs…

cs.CV2025

Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease

Ahmed Sharshar, Yasser Ashraf, Tameem Bakr +4

Alzheimer's disease affects over 55 million people worldwide and is projected to more than double by 2050, necessitating rapid, accurate, and scalable diagnostics. However, existin…

cs.CV2025★ 1 cited

Breaking Down the Hierarchy: A New Approach to Leukemia Classification

Ibraheem Hamdi, Hosam El-Gendy, Ahmed Sharshar +8

The complexities inherent to leukemia, multifaceted cancer affecting white blood cells, pose considerable diagnostic and treatment challenges, primarily due to reliance on laboriou…

cs.CV2024

GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing

Hosam Elgendy, Ahmed Sharshar, Ahmed Aboeitta +2

Detecting temporal changes in geographical landscapes is critical for applications like environmental monitoring and urban planning. While remote sensing data is abundant, existing…