1 citations · 1 across the 3 of their papers we have counts for
4 papers
Recursive Uncertainty-Gated Image Registration for Learning-based Algorithms
Clara Rodrigo González, Oscar Bates, Fu Siong Ng +1
Conventional image registration algorithms are robust to domain shifts and achieve low errors, but they are slow and computationally expensive. Deep-learning methods are efficient…
Explaining deep learning for ECG using time-localized clusters
Ahcène Boubekki, Konstantinos Patlatzoglou, Joseph Barker +2
Deep learning has significantly advanced electrocardiogram (ECG) analysis, enabling automatic annotation, disease screening, and prognosis beyond traditional clinical capabilities.…
Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements
Alexander Jenkins, Andrea Cini, Joseph Barker +10
Catheter ablation of Atrial Fibrillation (AF) consists of a one-size-fits-all treatment with limited success in persistent AF. This may be due to our inability to map the dynamics…
Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
Alexander Jenkins, Thiernithi Variddhisai, Ahmed El-Medany +2
Graph Signal Processing (GSP) provides a powerful framework for analysing complex, interconnected systems by modelling data as signals on graphs. While recent advances have enabled…