11 papers
AtlasPatch: Efficient Tissue Detection and High-throughput Patch Extraction for Computational Pathology at Scale
Ahmed Alagha, Christopher Leclerc, Yousef Kotp +12
Whole-slide image (WSI) preprocessing, comprising tissue detection followed by patch extraction, is foundational to AI-driven computational pathology but remains a major bottleneck…
End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning
Hanae Elmekki, Amanda Spilkin, Ehsan Zakeri +11
Cardiac ultrasound (US) is among the most widely used diagnostic tools in cardiology for assessing heart health, but its effectiveness is limited by operator dependence, time const…
Poisoning Behavioral-based Worker Selection in Mobile Crowdsensing using Generative Adversarial Networks
Ruba Nasser, Ahmed Alagha, Shakti Singh +3
With the widespread adoption of Artificial intelligence (AI), AI-based tools and components are becoming omnipresent in today's solutions. However, these components and tools are p…
Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging
Hanae Elmekki, Saidul Islam, Ahmed Alagha +12
Medical Ultrasound (US) imaging has seen increasing demands over the past years, becoming one of the most preferred imaging modalities in clinical practice due to its affordability…
CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning
Hanae Elmekki, Ahmed Alagha, Hani Sami +11
Cardiac ultrasound (US) scanning is a commonly used techniques in cardiology to diagnose the health of the heart and its proper functioning. Therefore, it is necessary to consider…
UAV-assisted Internet of Vehicles: A Framework Empowered by Reinforcement Learning and Blockchain
Ahmed Alagha, Maha Kadadha, Rabeb Mizouni +3
This paper addresses the challenges of selecting relay nodes and coordinating among them in UAV-assisted Internet-of-Vehicles (IoV). The selection of UAV relay nodes in IoV employs…