Summary of Post

To develop, train, validate and document deep-learning image segmentation and quantification models for tricuspid valve anatomy and tricuspid regurgitation assessment using TTE/TEE imaging, with potential integration of CT/CMR-derived anatomy where available. The candidate must be a hands-on engineer capable of building working segmentation pipelines, not only analysing data or supervising notebooks. Based at the Cardiovascular Research Institute (CVRI) in Dublin, Mater Private Hospital in Dublin, and RCSI in Dublin. This role is central to the CroíValve (DUO MAX) project, which aims to develop and validate a precision risk stratification model for patients undergoing tricuspid valve treatment. The Royal College of Surgeons in Ireland (RCSI) focuses on leveraging advanced AI to overcome the limitations of traditional cardiovascular imaging, such as variability and radiation exposure. By integrating NLP and data analytics, the project seeks to automate the extract...