User profiles for "author:Sebastien Ourselin"
Sebastien OurselinProfessor of Healthcare Engineering, King's College London Verified email at kcl.ac.uk Cited by 69284 |
[HTML][HTML] The future of digital health with federated learning
Data-driven machine learning (ML) has emerged as a promising approach for building
accurate and robust statistical models from medical data, which is collected in huge volumes …
accurate and robust statistical models from medical data, which is collected in huge volumes …
Brain imaging in the assessment for epilepsy surgery
JS Duncan, GP Winston, MJ Koepp… - The Lancet …, 2016 - thelancet.com
Brain imaging has a crucial role in the presurgical assessment of patients with epilepsy.
Structural imaging reveals most cerebral lesions underlying focal epilepsy. Advances in MRI …
Structural imaging reveals most cerebral lesions underlying focal epilepsy. Advances in MRI …
A survey of methods for 3D histology reconstruction
Histology permits the observation of otherwise invisible structures of the internal topography
of a specimen. Although it enables the investigation of tissues at a cellular level, it is invasive …
of a specimen. Although it enables the investigation of tissues at a cellular level, it is invasive …
[HTML][HTML] Attributes and predictors of long COVID
Reports of long-lasting coronavirus disease 2019 (COVID-19) symptoms, the so-called 'long
COVID', are rising but little is known about prevalence, risk factors or whether it is possible to …
COVID', are rising but little is known about prevalence, risk factors or whether it is possible to …
[HTML][HTML] Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study
Background Data for front-line health-care workers and risk of COVID-19 are limited. We
sought to assess risk of COVID-19 among front-line health-care workers compared with the …
sought to assess risk of COVID-19 among front-line health-care workers compared with the …
[HTML][HTML] Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study
Summary Background The Pfizer-BioNTech (BNT162b2) and the Oxford-AstraZeneca
(ChAdOx1 nCoV-19) COVID-19 vaccines have shown excellent safety and efficacy in phase …
(ChAdOx1 nCoV-19) COVID-19 vaccines have shown excellent safety and efficacy in phase …
[HTML][HTML] Real-time tracking of self-reported symptoms to predict potential COVID-19
Abstract A total of 2,618,862 participants reported their potential symptoms of COVID-19 on
a smartphone-based app. Among the 18,401 who had undergone a SARS-CoV-2 test, the …
a smartphone-based app. Among the 18,401 who had undergone a SARS-CoV-2 test, the …
[HTML][HTML] Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based …
Background COVID-19 vaccines show excellent efficacy in clinical trials and effectiveness in
real-world data, but some people still become infected with SARS-CoV-2 after vaccination …
real-world data, but some people still become infected with SARS-CoV-2 after vaccination …
Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations
Deep-learning has proved in recent years to be a powerful tool for image analysis and is
now widely used to segment both 2D and 3D medical images. Deep-learning segmentation …
now widely used to segment both 2D and 3D medical images. Deep-learning segmentation …
[HTML][HTML] Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance …
Summary Background The SARS-CoV-2 variant of concern, omicron, appears to be less
severe than delta. We aim to quantify the differences in symptom prevalence, risk of hospital …
severe than delta. We aim to quantify the differences in symptom prevalence, risk of hospital …