About the project
Objective
The main objective is to develop a Content-Based Image Retrieval (CBIR) system using a large database of longitudinal brain Magnetic Resonance Imaging (MRI) of patients with dementia. By using artificial intelligence, the system will detect patterns and similarities in the longitudinal images, empowering healthcare professionals to predict treatment outcomes and deliver personalized care. Eventually, this tool aims to simplify decision making, improve patient care and make healthcare more efficient and cost-effective.
Background
As the global population ages, dementia diseases are becoming increasingly prevalent, currently affecting approximately 47 million individuals and imposing an economic burden of around $2.8 trillion. Innovative computer-aided diagnosis techniques, particularly CBIR, have been transformed by enhancing the retrieval of relevant images for patients with or at risk of dementia. Scientific evidence suggests that spatio-temporal patterns from longitudinal recordings can significantly improve outcomes in cross-sectional studies. However, progress in this field has been hindered by limited access to longitudinal databases, small dataset sizes, and ineffective analytical methods.
About the Digital Futures Postdoc Fellow
Félix received his PhD in Electronic Engineering from the Universitat Politècnica de València. His research has centered on applying artificial intelligence and signal processing techniques to biomedical data analysis. His thesis focused on developing a state-of-the-art preterm labor prediction system using Electrohysterography (EHG), successfully addressing challenges such as low incidence rates and limited data availability.
His work spanned the entire research process, from clinical data acquisition and signal preprocessing to the design of an automated decision-making system. Building on this foundation, he has expanded his proficiency in medical imaging modalities, and gained experience with modern deep learning architectures.
Main supervisor
Rodrigo Moreno, Associate Professor, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), KTH Royal Institute of Technology
Co-supervisor
Chunliang Wang, researcher with Docent title at School of Technology and Health (STH), KTH Royal Institute of Technology
