Welcome
BioAIm lab is part of the Information, Data & Analysis Section of the School of Computing Science at University of Glasgow. Our main focus is to develop novel, state-of-the-art computational methods to solve challenging problems in biomedical domain. The core expertise of the group is the development of machine learning approaches to analyse medical images, neuro-physiological signals and human motion. While we harness the power of Artificial Intelligence, we strive to develop cutting-edge technologies that safeguard users privacy and promote public trust towards artificial intelligence.
News
Come and find us at IEEE ICDCS 2025 Workshop on Federated and Privacy Preserving AI in Biomedical Applications with invited speakers from University of St Andrews, University of Glasgow and Nokia Bells.
Our paper on Learning Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition, has been presented at IEEE CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
Our paper on Learning Semi-Supervised Medical Image Segmentation from Spatial Registration, has been presented at IEEE CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
Our paper on Certainty-Guided Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation, has been accepted at IEEE Transactions on Biomedical Engineering.
Our paper on Digitisation and linkage of PDF formatted 12-lead Electrocardiograms in Adult Congenital Heart Disease, has been accepted at CJC Pediatric and Congenital Heart Disease.
