The main goal of this project is to work on the deployment and clinical use of segmentation algorithms of coronary arteries from computed tomography images, based on advanced machine learning techniques (e.g., transformers). In the past years, some of these techniques have been developed in collaboration between clinicians at Santa Creu i Sant Pau and researchers at UPF. However, work is required to fully integrate machine learning tools into the clinical workflow so that physicians can use the resulting segmentations and derived indices for their medical decisions. It would include efforts on the post-processing of the segmentations, the extraction of features (e.g., centrelines) and the connection with the hospital infrastructure (e.g., PACS system). The project will be performed at Hospital de la Santa Creu i Sant Pau.

Supervisors: Abdel Hakim Mustafa, Rubén Leta, César Acebes (Hospital Sant Pau), Oscar Camara