37 citations · 77 across the 21 of their papers we have counts for
28 papers
Beat-ssl: Capturing Local ECG Morphology through Heartbeat-level Contrastive Learning with Soft Targets
Muhammad Ilham Rizqyawan, Peter Macfarlane, Stathis Hadjidemetriou +1
Obtaining labelled ECG data for developing supervised models is challenging. Contrastive learning (CL) has emerged as a promising pretraining approach that enables effective transf…
Your Eyes Controlled the Game: Real-Time Cognitive Training Adaptation based on Eye-Tracking and Physiological Data in Virtual Reality
Dominik Szczepaniak, Monika Harvey, Fani Deligianni
Cognitive training for sustained attention and working memory is vital across domains relying on robust mental capacity such as education or rehabilitation. Adaptive systems are es…
Cross-Subject and Cross-Montage EEG Transfer Learning via Individual Tangent Space Alignment and Spatial-Riemannian Feature Fusion
Nicole Lai-Tan, Xiao Gu, Marios G. Philiastides +1
Personalised music-based interventions offer a powerful means of supporting motor rehabilitation by dynamically tailoring auditory stimuli to provide external timekeeping cues, mod…
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports
Francesco Dalla Serra, Patrick Schrempf, Chaoyang Wang +3
We present a novel approach to Chest X-ray (CXR) Visual Question Answering (VQA), addressing both single-image image-difference questions. Single-image questions focus on abnormali…
Differentially Private 2D Human Pose Estimation
Kaushik Bhargav Sivangi, Paul Henderson, Fani Deligianni
Human pose estimation (HPE) has become essential in numerous applications including healthcare, activity recognition, and human-computer interaction. However, the privacy implicati…
Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning
Muhammet Alkan, Gruschen Veldtman, Fani Deligianni
Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity by measuring key physiological variables including oxygen consumption (), c…