23 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of BristolGB4 papers
- Southmead HospitalGB2 papers
- European Society of CardiologyFR1 paper
- Exemplar Genetics (United States)US1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
- King's College HospitalGB1 paper
- King's College LondonGB1 paper
- King's College - North CarolinaUS1 paper
- KU LeuvenBE1 paper
- Newcastle UniversityGB1 paper
- Newcastle upon Tyne Hospitals NHS Foundation TrustGB1 paper
- Queen Mary University of LondonGB1 paper
6 papers
A Position Statement on Endovascular Models and Effectiveness Metrics for Mechanical Thrombectomy Navigation, on behalf of the Stakeholder Taskforce for AI-assisted Robotic Thrombectomy (START)
Harry Robertshaw, Anna Barnes, Phil Blakelock +20
While we are making progress in overcoming infectious diseases and cancer; one of the major medical challenges of the mid-21st century will be the rising prevalence of stroke. Larg…
Your Turn: At Home Turning Angle Estimation for Parkinson's Disease Severity Assessment
Qiushuo Cheng, Catherine Morgan, Arindam Sikdar +3
People with Parkinson's Disease (PD) often experience progressively worsening gait, including changes in how they turn around, as the disease progresses. Existing clinical rating t…
Scope and Arbitration in Machine Learning Clinical EEG Classification
Yixuan Zhu, Luke J. W. Canham, David Western
A key task in clinical EEG interpretation is to classify a recording or session as normal or abnormal. In machine learning approaches to this task, recordings are typically divided…
TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction
Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi
Acute ischaemic stroke, caused by an interruption in blood flow to brain tissue, is a leading cause of disability and mortality worldwide. The selection of patients for the most op…
A Trustworthiness Score to Evaluate DNN Predictions
Abanoub Ghobrial, Darryl Hond, Hamid Asgari +1
Due to the black box nature of deep neural networks (DNN), the continuous validation of DNN during operation is challenging with the absence of a human monitor. As a result this ma…
Prediction of Thrombectomy Functional Outcomes using Multimodal Data
Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi
Recent randomised clinical trials have shown that patients with ischaemic stroke {due to occlusion of a large intracranial blood vessel} benefit from endovascular thrombectomy. How…