8 citations · 12 across the 4 of their papers we have counts for
5 papers
Automated screening of privacy risks in medical AI
Konstantinos Vrettos, Eleftherios Tzanis, Haridimos Kondylakis +3
Medical artificial intelligence (AI) models are often shared without their training data, assuming this protects the patients who contributed them. However, a model can reveal whet…
DosimeTron: Automating Personalized Monte Carlo Radiation Dosimetry in PET/CT with Agentic AI
Eleftherios Tzanis, Michail E. Klontzas, Antonios Tzortzakakis
Purpose: To develop and evaluate DosimeTron, an agentic AI system for automated patient-specific MC internal radiation dosimetry in PET/CT examinations. Materials and Methods: In t…
OpenRad: a Curated Repository of Open-access AI models for Radiology
Konstantinos Vrettos, Galini Papadaki, Emmanouil Brilakis +7
The rapid developments in artificial intelligence (AI) research in radiology have produced numerous models that are scattered across various platforms and sources, limiting discove…
ReclAIm: A Multi-Agent Framework for Monitoring and Correcting Performance Decline in Medical Imaging AI
Eleftherios Tzanis, Michail E. Klontzas
Purpose: To develop and evaluate a multi-agent framework (ReclAIm) for automated monitoring, detection, and correction of performance decline in medical image classification models…
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging
Eleftherios Tzanis, Michail E. Klontzas
Agentic systems built on large language models (LLMs) offer promising capabilities for automating complex workflows in healthcare AI. We introduce mAIstro, an open-source, autonomo…