User profiles for "author:Sebastien Ourselin"

Sebastien Ourselin

Professor 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

N Rieke, J Hancox, W Li, F Milletari, HR Roth… - NPJ digital …, 2020 - nature.com
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 …

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 …

A survey of methods for 3D histology reconstruction

J Pichat, JE Iglesias, T Yousry, S Ourselin… - Medical image analysis, 2018 - Elsevier
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 …

[HTML][HTML] Attributes and predictors of long COVID

CH Sudre, B Murray, T Varsavsky, MS Graham… - Nature medicine, 2021 - nature.com
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 …

[HTML][HTML] Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study

LH Nguyen, DA Drew, MS Graham, AD Joshi… - The Lancet Public …, 2020 - thelancet.com
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 …

[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

C Menni, K Klaser, A May, L Polidori… - The Lancet Infectious …, 2021 - thelancet.com
Summary Background The Pfizer-BioNTech (BNT162b2) and the Oxford-AstraZeneca
(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

C Menni, AM Valdes, MB Freidin, CH Sudre… - Nature medicine, 2020 - nature.com
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 …

[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 …

M Antonelli, RS Penfold, J Merino… - The Lancet Infectious …, 2022 - thelancet.com
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 …

Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations

CH Sudre, W Li, T Vercauteren, S Ourselin… - Deep Learning in …, 2017 - Springer
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 …

[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 …

C Menni, AM Valdes, L Polidori, M Antonelli… - The Lancet, 2022 - thelancet.com
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 …