390 citations
- Imperial College LondonGB6 papers
- King's College LondonGB3 papers
- Escuela Superior Politecnica del LitoralEC2 papers
- Guy's and St Thomas' NHS Foundation TrustGB2 papers
- King's College Hospital NHS Foundation TrustGB2 papers
- University of CambridgeGB2 papers
- Alberta Machine Intelligence InstituteCA1 paper
- American College of RadiologyUS1 paper
- Aminu Kano Teaching HospitalNG1 paper
- Asan Medical CenterKR1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Barcelona Supercomputing CenterES1 paper
10 papers
Wireless Silent Speech Interface Using Multi-Channel Textile EMG Sensors Integrated into Headphones
Chenyu Tang, Josée Mallah, Dominika Kazieczko +6
This paper presents a novel wireless silent speech interface (SSI) integrating multi-channel textile-based EMG electrodes into headphone earmuff for real-time, hands-free communica…
AI-Driven Smart Sportswear for Real-Time Fitness Monitoring Using Textile Strain Sensors
Chenyu Tang, Wentian Yi, Zibo Zhang +2
Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessment of physiological and biomechanical parameters. However, existing solutions lac…
Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment
Maria R. Lima, Alexander Capstick, Fatemeh Geranmayeh +4
Timely and accurate assessment of cognitive impairment remains a major unmet need. Speech biomarkers offer a scalable, non-invasive, cost-effective solution for automated screening…
Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal coherence
Su Yan, Clotilde Vié, Marcelo Lerendegui +8
Super-resolution ultrasound imaging through microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy, allows non-invasive sub-diffraction resolu…
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
Hadrien Reynaud, Mengyun Qiao, Mischa Dombrowski +5
Image synthesis is expected to provide value for the translation of machine learning methods into clinical practice. Fundamental problems like model robustness, domain transfer, ca…
Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks
Robert B. Labs, Apostolos Vrettos, Jonathan Loo +1
Standard views in two-dimensional echocardiography are well established but the quality of acquired images are highly dependent on operator skills and are assessed subjectively. Th…