Author

Harriet Hobday

King's College LondonORCID 0000-0001-9396-3348Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1

Frequent Co-Authors

František VášaiD· 2 shared James Howard ColeiD· 2 shared Owen O’DalyiD· 2 shared Richard E. DawsiD· 2 shared Robert LeechiD· 2 shared Ryan A. StanyardiD· 2 shared Vincent GiampietroiD· 2 shared Adam OmaryiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

František VášaORCID

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Author profile →

3 papers

Recent·Most cited

An open, analysis-ready, and quality controlled resource for pediatric brain white-matter research

Adam Richie-Halford, Matthew Cieslak, Lei Ai, Sendy Caffarra, Sydney C. Covitz, Alexandre R. Franco, Iliana I. Karipidis, John Kruper, Michael Peter Milham, Bárbara Avelar‐Pereira, Ethan A. Roy, Valerie J. Sydnor, Jason D. Yeatman, Nicholas J. Abbott, John A. E. Anderson, , Adam Omary

The paper curates and provides analysis-ready diffusion MRI data for pediatric brain white-matter research, including automated quality control using a trained neural network.

Scientific Data · Oct 12, 2022Peer-reviewedNeuroscience

Tissue volume estimation and age prediction using rapid structural brain scans

Harriet Hobday, James Howard Cole, Ryan A. Stanyard, Richard E. Daws, Vincent Giampietro, Owen O’Daly, Robert Leech, František Váša

This study compares EPImix and conventional T1-weighted MRI scans for tissue volume estimation and brain-age prediction, finding similar results but a systematic age offset that can be corrected.

Scientific Reports · Jul 14, 2022Peer-reviewedNeuroscience

Rapid processing and quantitative evaluation of multicontrast EPImix scans for adaptive multimodal imaging

František Váša, Harriet Hobday, Ryan A. Stanyard, Richard E. Daws, Vincent Giampietro, Owen O’Daly, David J. Lythgoe, Jakob Seidlitz, Stefan T. Skare, Steven Williams, André F. Marquand, Robert Leech, James Howard Cole

This paper evaluates rapid processing of multicontrast EPImix scans and shows that quantitative neuroimaging data can be obtained within minutes, enabling adaptive imaging protocols.

bioRxiv · Feb 12, 2021 · PreprintNeuroscience