390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Imperial College LondonGB7 papers
- King's College LondonGB4 papers
- Guy's and St Thomas' NHS Foundation TrustGB3 papers
- Escuela Superior Politecnica del LitoralEC2 papers
- King's College Hospital NHS Foundation TrustGB2 papers
- St Thomas' HospitalGB2 papers
- Universitätsmedizin GöttingenDE2 papers
- University of AlbertaCA2 papers
- University of CambridgeGB2 papers
- Alberta Machine Intelligence InstituteCA1 paper
- American College of RadiologyUS1 paper
- Aminu Kano Teaching HospitalNG1 paper
14 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…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling
Timothy JP Bray, Alan Bainbridge, Margaret A Hall-Craggs +1
Purpose: Magnitude-based fitting of chemical shift-encoded data enables proton density fat fraction (PDFF) and R2* estimation where complex-based methods fail or when phase data is…
Machine learning and glioma imaging biomarkers
Thomas Booth, Matthew Williams, Aysha Luis +3
Aim: To review how machine learning (ML) is applied to imaging biomarkers in neuro-oncology, in particular for diagnosis, prognosis, and treatment response monitoring. Materials an…
Deep learning cardiac motion analysis for human survival prediction
Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan +8
Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images. Optimising the interpretation of dynamic biological systems require…
Learning to detect chest radiographs containing lung nodules using visual attention networks
Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey +3
Machine learning approaches hold great potential for the automated detection of lung nodules in chest radiographs, but training the algorithms requires vary large amounts of manual…
Dynamics of airflow in a short inhalation
Alister Bates, Denis Doorly, Raul Cetto +5
During a rapid inhalation, such as a sniff, the flow in the airways accelerates and decays quickly. The consequences for flow development and convective trans- port of an inhaled g…
Changing EDSS progression in placebo cohorts in relapsing MS: A systematic review and meta-regression
Christian Röver, Richard Nicholas, Sebastian Straube +1
Background: Recent systematic reviews of randomised controlled trials (RCTs) in relapsing multiple sclerosis (RMS) revealed a decrease in placebo annualized relapse rates (ARR) ove…
Explaining temporal trends in annualized relapse rates in placebo groups of randomized controlled trials in relapsing multiple sclerosis: systematic review and meta-regression
Simon M. Steinvorth, Christian Röver, Simon Schneider +3
Background: Recent studies have shown a decrease in annualised relapse rates (ARRs) in placebo groups of randomised controlled trials (RCTs) in relapsing multiple sclerosis (RMS).…