Author
King's College LondonORCID 0000-0002-5694-5340Unclaimed ORCID profile · follow to get notified of new preprints
8 papers
Recent·Most cited
Lucia Innocenti, Sebastien Ourselin A, Vicky Goh, Michela Antonelli, Marco Lorenzi
This study benchmarks the accuracy and cost-effectiveness of federated learning and consensus-based learning in medical data analysis, finding that consensus-based learning is more cost-effective with comparable accuracy.
bioRxiv · May 27, 2024 · PreprintBioinformatics
Sarah Bauermeister, Chris Orton, Simon Thompson, Roger A. Barker, Joshua R. Bauermeister, Yoav Ben‐Shlomo, Carol Brayne, David John Burn, Archie I Campbell, Catherine M. Calvin, Siddharthan Chandran, Nish Chaturvedi, Geneviève Chêne, Iain P. Chessell, Anne Corbett, , John Gallacher
The DPUK Data Portal provides secure access to cohort data for dementia research, supporting multi-modal analyses and collaborations across multiple institutions.
European Journal of Epidemiology · Apr 23, 2020Peer-reviewedNeuroscience
Leon Aksman, Marzia A. Scelsi, André F. Marquand, Daniel C. Alexander, Sebastien Ourselin A, André Altmann, for ADNI
This paper introduces a Bayesian multi-task learning model for longitudinal imaging biomarkers, showing improved trajectory inference and disease effect detection in Alzheimer's disease data.
Human Brain Mapping · Jun 5, 2019Peer-reviewedNeuroscience
Arman Eshaghi, Rogier Kievit, Ferrán Prados, Carole H. Sudre, Jennifer M. Nicholas, M. Jorge Cardoso, Dennis Chan, Richard S. Nicholas, Sebastien Ourselin A, John Greenwood, Alan J. Thompson, Daniel C. Alexander, Frederik Barkhof, Jeremy Chataway, Olga Ciccarelli
The paper applies multivariate mechanistic models to a clinical trial in multiple sclerosis to investigate pathways linking simvastatin to clinical outcomes.
Proceedings of the National Academy of Sciences · May 9, 2019Peer-reviewedNeuroscience
Alexandra L. Young, Razvan Valentin Marinescu, Neil P. Oxtoby, Martina Bocchetta, Keir X. X. Yong, Nicholas C. Firth, David M. Cash, David Lee Thomas, Katrina M. Dick, M. Jorge Cardoso, John Cornelis Van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, , Ronald G. Thomas
This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.
Nature Communications · Oct 9, 2018Peer-reviewedNeuroscience
Claire Cury, Stanley Durrleman, David M. Cash, Marco Lorenzi, Jennifer M. Nicholas, Martina Bocchetta, John Cornelis Van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, James Benedict Rowe, Caroline Graff, Fabrizio Tagliavini, Giovanni Battista Frisoni, , on behalf of the Genetic FTD Initiative, GENFI
The paper detects pre-symptomatic shape changes in the thalamus using spatiotemporal analysis of MRI scans from the GENFI study, finding differences five years before symptoms appear.
bioRxiv · Aug 6, 2018 · PreprintNeuroscience
Arman Eshaghi, Razvan Valentin Marinescu, Alexandra L. Young, Nicholas C. Firth, Ferrán Prados, M. Jorge Cardoso, Carmen Tur, Floriana De Angelis, Niamh Cawley, Wallace J. Brownlee, Nicola De Stefano, Maria Laura Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, , Jacqueline A. Palace
This study identifies the sequence of grey matter atrophy progression in multiple sclerosis using longitudinal MRI data and shows its association with disability accumulation in relapsing-remitting MS.
Brain · Mar 16, 2018Peer-reviewedNeuroscience
Arman Eshaghi, Ferrán Prados, Wallace J. Brownlee, Daniel R. Altmann, Carmen Tur, M. Jorge Cardoso, Floriana De Angelis, Steven H. van de Pavert, Niamh Cawley, Nicola De Stefano, ML Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, Massimo Filippi, , Jacqueline A. Palace
This study shows that deep grey matter volume loss predicts faster disability progression in multiple sclerosis, with specific patterns in different disease subtypes.
Annals of Neurology · Jan 13, 2018Peer-reviewedNeuroscience