Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Sébastien, Ourselin"'
Autor:
Beatrice Kennedy, Hugo Fitipaldi, Ulf Hammar, Marlena Maziarz, Neli Tsereteli, Nikolay Oskolkov, Georgios Varotsis, Camilla A. Franks, Diem Nguyen, Lampros Spiliopoulos, Hans-Olov Adami, Jonas Björk, Stefan Engblom, Katja Fall, Anna Grimby-Ekman, Jan-Eric Litton, Mats Martinell, Anna Oudin, Torbjörn Sjöström, Toomas Timpka, Carole H. Sudre, Mark S. Graham, Julien Lavigne du Cadet, Andrew T. Chan, Richard Davies, Sajaysurya Ganesh, Anna May, Sébastien Ourselin, Joan Capdevila Pujol, Somesh Selvachandran, Jonathan Wolf, Tim D. Spector, Claire J. Steves, Maria F. Gomez, Paul W. Franks, Tove Fall
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
The app-based COVID Symptom Study was launched in Sweden in April 2020 to contribute to real-time COVID-19 surveillance using daily symptom reports from study participants. Here, the authors show how syndromic surveillance can be used to estimate reg
Externí odkaz:
https://doaj.org/article/036669d2b480488aa89ce7128d28b6d3
Autor:
Jonathan Shapey, Aaron Kujawa, Reuben Dorent, Guotai Wang, Alexis Dimitriadis, Diana Grishchuk, Ian Paddick, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Sotirios Bisdas, Sébastien Ourselin, Tom Vercauteren
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-6 (2021)
Measurement(s) Vestibular Schwannoma Technology Type(s) Magnetic Resonance Imaging • image segmentation Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare
Externí odkaz:
https://doaj.org/article/9f4ad5d13d854dd8aee3a31c6c9f6ba6
Autor:
Fernando Pérez-García, Ali Alim-Marvasti, Gloria Romagnoli, Matthew J. Clarkson, Rachel Sparks, John S. Duncan, Sébastien Ourselin
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Around one third of epilepsies are drug-resistant. For these patients, seizures may be reduced or cured by surgically removing the epileptogenic zone (EZ), which is the portion of the brain giving rise to seizures. If noninvasive data are not suffici
Externí odkaz:
https://doaj.org/article/019045196cc74f7ab2571fd9742d19b3
Autor:
Elizabeth Viola, Lucas Fidon, Anna L. David, Nada Mufti, Philippe Demaerel, Andrew Melbourne, Tom Vercauteren, Sébastien Ourselin, Michael Aertsen, Jan Deprest
Publikováno v:
Open Research Europe, Vol 1 (2022)
Background: Spina bifida aperta (SBA) is a birth defect associated with severe anatomical changes in the developing fetal brain. Brain magnetic resonance imaging (MRI) atlases are popular tools for studying neuropathology in the brain anatomy, but pr
Externí odkaz:
https://doaj.org/article/a83aef7ed99d4492bd8eebfd3ebf5a91
Autor:
Carole H. Sudre, Stefano Moriconi, Rafael Rehwald, Lorna Smith, Therese Tillin, Josephine Barnes, David Atkinson, Sébastien Ourselin, Nish Chaturvedi, Alun D. Hughes, H. Rolf Jäger, M. Jorge Cardoso
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Background and aimsRisk of stroke and dementia is markedly higher in people of South Asian and African Caribbean descent than white Europeans in the UK. This is unexplained by cardiovascular risk factors (CVRF). We hypothesized this might indicate ac
Externí odkaz:
https://doaj.org/article/eb0bd077f5f14765ac7395974d7879a0
Autor:
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-7 (2020)
Abstract 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 by modern healthcare systems. Existing medical data is not fully
Externí odkaz:
https://doaj.org/article/32cc7c58a8074ffe8d62799e5fe58178
Autor:
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Publikováno v:
NeuroImage, Vol 225, Iss , Pp 117460- (2021)
Quantitative characterization of disease progression using longitudinal data can provide long-term predictions for the pathological stages of individuals. This work studies the robust modeling of Alzheimer’s disease progression using parametric met
Externí odkaz:
https://doaj.org/article/3621c152afbf4efa8b74777c3491b730
Publikováno v:
Applied Sciences, Vol 12, Iss 8, p 3936 (2022)
Since the rise of deep learning (DL) in the mid-2010s, cardiac magnetic resonance (CMR) image segmentation has achieved state-of-the-art performance. Despite achieving inter-observer variability in terms of different accuracy performance measures, vi
Externí odkaz:
https://doaj.org/article/2a2279df490e4247bdd64c4554a62796
Autor:
Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Steven Dymarkowski, Paolo De Coppi, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
Publikováno v:
NeuroImage, Vol 206, Iss , Pp 116324- (2020)
High-resolution volume reconstruction from multiple motion-corrupted stacks of 2D slices plays an increasing role for fetal brain Magnetic Resonance Imaging (MRI) studies. Currently existing reconstruction methods are time-consuming and often require
Externí odkaz:
https://doaj.org/article/11ab161946c64489a8de6091df96cafd
Autor:
Hasan Sari, Kjell Erlandsson, Lisbeth Marner, Ian Law, Henrik B.W. Larsson, Kris Thielemans, Sébastien Ourselin, Simon Arridge, David Atkinson, Brian F. Hutton
Publikováno v:
EJNMMI Research, Vol 8, Iss 1, Pp 1-12 (2018)
Abstract Background Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF
Externí odkaz:
https://doaj.org/article/208f132916084424a95f50351b63ad84