4 citations · 4 across the 4 of their papers we have counts for
4 papers
Can Large Language Models Reliably Extract Physiology Index Values from Coronary Angiography Reports?
Sofia Morgado, Filipa Valdeira, Niklas Sander +4
Coronary angiography (CAG) reports contain clinically relevant physiological measurements, yet this information is typically in the form of unstructured natural language, limiting…
Machine Learning for Chemistry Reduction in N-H Low-Temperature Plasmas
Diogo R. Ferreira, Alexandre Lança, Luís Lemos Alves
Low-temperature plasmas are partially ionized gases, where ions and neutrals coexist in a highly reactive environment. This creates a rich chemistry, which is often difficult to un…
Using Deep Learning to Design High Aspect Ratio Fusion Devices
P. Curvo, D. R. Ferreira, R. Jorge
The design of fusion devices is typically based on computationally expensive simulations. This can be alleviated using high aspect ratio models that employ a reduced number of free…
Disruption Prediction in Fusion Devices through Feature Extraction and Logistic Regression
Diogo R. Ferreira
This document describes an approach used in the Multi-Machine Disruption Prediction Challenge for Fusion Energy by ITU, a data science competition which ran from September to Novem…