1 citations · 1 across the 4 of their papers we have counts for
4 papers
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
Alvaro Lopez Pellicer, Plamen Angelov, Marwan Bukhari +3
While interpretable prototype networks offer compelling case-based reasoning for clinical diagnostics, their raw continuous outputs lack the semantic structure required for medical…
ProtoMedX: Towards Explainable Multi-Modal Prototype Learning for Bone Health Classification
Alvaro Lopez Pellicer, Andre Mariucci, Plamen Angelov +2
Bone health studies are crucial in medical practice for the early detection and treatment of Osteopenia and Osteoporosis. Clinicians usually make a diagnosis based on densitometry…
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification
Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li +2
As the use of Deep Neural Networks (DNNs) becomes pervasive, their vulnerability to adversarial attacks and limitations in handling unseen classes poses significant challenges. The…
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
Yi Li, Plamen Angelov, Zhengxin Yu +2
As the development of deep learning techniques in autonomous landing systems continues to grow, one of the major challenges is trust and security in the face of possible adversaria…