This bioengineering project will develop novel methods for discovering and visualising optimal biomarkers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance the state of the art in medical image analysis given that it will allow an efficient analysis of large dimensionality inputs in their original high resolution. In addition, our project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes.
Talk at Technical University of Munich, and Ulm University, 2019
Talk at Technical University of Munich, Instituto Superior Tecnico and Helmhotz research centre, 2018 and 2019
MSD SEED 2021
Ingkarni Wardli Building, Room 5.42
University of Adelaide
Adelaide, SA 5005, Australia