output
20192026
most citedDeep Learning Techniques for Improving Digital Gait Segmentation

27 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

cs.RO2026★ 1 cited

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…

q-bio.OT2024★ 3 cited

Performing clinical drug trials in children with a rare disease

Victoria Hedley, Rebecca Leary, Anando Sen +3

Over the past 50 years, the advancements in medical and health research have radically changed the epidemiology of health conditions in neonates, children, and adolescents; and cli…

eess.SP2019★ 27 cited

Deep Learning Techniques for Improving Digital Gait Segmentation

Matteo Gadaleta, Giulia Cisotto, Michele Rossi +3

Wearable technology for the automatic detection of gait events has recently gained growing interest, enabling advanced analyses that were previously limited to specialist centres a…