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 BMVC 2024 Workshop on Privacy, Fairness, Accountability and Transparency in Computer Vision with invited speakers from University of Edinbrugh, Imperial College, University of Glasgow, Oxford University and DeeepMind.
Our paper on Fusion of Spatial and Riemannian Features to Enhance Detection of Gait Adaptation Mental States During Rhythmic Auditory Stimulation, received the Best Student Paper Runner-up Award at ACII 2024.
Our paper on Knowledge Distillation with Global Filters for Efficient Human Pose Estimation, has been accepted at BMVC, 2024.
Our paper on ML-Driven Cognitive Workload Estimation in a VR-based Sustained Attention Task, has been accepted at IEEE International Symposium on Mixed and Augmented Reality, 2024.
Our paper on Riemannian Prediction of Anatomical Diagnoses in Congenital Heart Disease Based on 12-Lead ECGS has been accepted at ISBI, 2024.
Our paper on GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation has been accepted at ISBI, 2024.
Our paper on The Price of Labelling: A Two-Phase Federated Self-learning Approach has been accepted at Machine Learning and Knowledge Discovery in Databases, 2024.
