Author

Douglas Neville

University College London

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Thomas M.H. HopeiD· 2 shared Ahmad BeyhiD· 1 shared Alex TeghipcoiD· 1 shared Andrea ZanolaiD· 1 shared Anna MatsulevitsiD· 1 shared Bertrand ThirioniD· 1 shared Cathy J. PriceiD· 1 shared Chris FouloniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Thomas M.H. HopeORCID

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Author profile →

2 papers

Recent·Most cited

A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes

Anna Matsulevits, Pedro Alvez, Manfredo Atzori, Ahmad Beyh, Maurizio Corbetta, Federico Del Pup, Lilit Dulyan, Chris Foulon, Thomas M.H. Hope, Stefano Ioannucci, Gaël Jobard, Hervé Lemaître, Douglas Neville, Victor Nozais, Chris Rorden, , Michel Thiebaut de Schotten

This study benchmarks predictive models for long-term stroke outcomes using a global consortium, revealing mechanistic diversity and key predictors across motor, cognitive, and emotional domains.

bioRxiv · Oct 17, 2024 · PreprintNeuroscience

Continuous lesion images drive more accurate predictions of outcomes after stroke than binary lesion images

Thomas M.H. Hope, Douglas Neville, Mohamed Lamine Seghier, Cathy J. Price

This study shows that using continuous lesion images improves outcome prediction after stroke compared to binary lesion images.

bioRxiv · Oct 4, 2024 · PreprintNeuroscience