7 citations · 10 across the 5 of their papers we have counts for
3 papers · 1 filter
Data Augmentation with Diffusion Models for Colon Polyp Localization on the Low Data Regime: How much real data is enough?
Adrian Tormos, Blanca Llauradó, Fernando Núñez +3
The scarcity of data in medical domains hinders the performance of Deep Learning models. Data augmentation techniques can alleviate that problem, but they usually rely on functiona…
Intention-aware policy graphs: answering what, how, and why in opaque agents
Victor Gimenez-Abalos, Sergio Alvarez-Napagao, Adrian Tormos +2
Agents are a special kind of AI-based software in that they interact in complex environments and have increased potential for emergent behaviour. Explaining such emergent behaviour…
Aloe: A Family of Fine-tuned Open Healthcare LLMs
Ashwin Kumar Gururajan, Enrique Lopez-Cuena, Jordi Bayarri-Planas +10
As the capabilities of Large Language Models (LLMs) in healthcare and medicine continue to advance, there is a growing need for competitive open-source models that can safeguard pu…