FLUIDDA introduces RespiNet, a model for automated segmentation of lung structures. At the ECR 2023 conference in Vienna, FLUIDDA presents their deep learning model for the segmentation of the lobes and airway... View Article
The second edition of the Fluidda Magazine on FRI was recently published, containing several articles about how FRI is being used in clinical practice by radiologists and pulmonologists, especially during... View Article
At the ERS 2019 conference in Madrid, our Director of Research and Development of Fluidda, gave his opinion on how Artificial Intelligence can help to improve the prediction of respiratory... View Article
At the University of Antwerp, Maarten Lanclus, Research & Development director of Fluidda, successfully defended his thesis on the topic of using Artificial Intelligence (A.I.) in combination with FRI to enhance... View Article