Mark Jenkinson
6 Papers
Mark Jenkinson is an academic researcher. The author has contributed to research in topics: Internal medicine & Prospective cohort study. The author has co-authored 1 publications.
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Papers
Multimodal population brain imaging in the UK Biobank prospective epidemiological study
Karla L. Miller,Fidel Alfaro-Almagro,Neal K Bangerter,David L Thomas,Essa Yacoub,Junqian Xu,Andreas J Bartsch,Saâd Jbabdi,Stamatios N. Sotiropoulos,Jesper L. R. Andersson,Ludovica Griffanti,Gwenaëlle Douaud,Thomas W. Okell,Peter Weale,Iulius Dragonu,Steve Garratt,Sarah Hudson,Rory Collins,Mark Jenkinson,Paul M Matthews,Steve Smith +20 more
TL;DR: UK Biobank brain imaging is described and results derived from the first 5,000 participants' data release are presented, which have already yielded a rich range of associations between brain imaging and other measures collected by UK Biobank.
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Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years.
Ana I. L. Namburete,Bartłomiej W Papież,Michelle Fernandes,Madeleine K. Wyburd,Linde S. Hesse,Felipe A Moser,Leila Cheikh Ismail,Robert B. Gunier,Waney Squier,Eric O Ohuma,Maria J. Carvalho,Y A Jaffer,Michael Gravett,Qingqing Wu,A Lambert,Adele Winsey,María Clara Restrepo-Méndez,E. Bertino,Manorama Purwar,F. Barros,Alan L. Stein,J. A. Noble,Zoltán Molnár,Mark Jenkinson,Zulfiqar A Bhutta,Aris T Papageorghiou,J. Villar,Stephen Kennedy +27 more
TL;DR: A normative digital atlas of fetal brain maturation produced using 1,059 optimal quality, three-dimensional ultrasound brain volumes from 899 fetuses presents a unique spatiotemporal benchmark from a large cohort with normative postnatal growth and neurodevelopment at 2 years of age.
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Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning
Minyan Zeng,Yutong Xie,Minh-Son To,Lauren Oakden-Rayner,Luke Whitbread,Stephen Bacchi,Alix Bird,Luke Smith,Rebecca Scroop,Timothy Kleinig,Jim Jannes,Lyle J. Palmer,Mark Jenkinson +12 more
TL;DR: This study improves large vessel stroke prognostication using image synthesis and multi-task learning, enabling flexible deployment of deep learning models with or without CTP maps, and enhancing interpretability and clinical trustworthiness.
Utility of Baseline Pathological, Neuroimaging and Clinical Markers for Progression Prognosis and Subtype Classification in Early Parkinson’s Disease: Implications for Cognitive Impairment
Angus McNamara,Benjamin Ellul,Irina Baetu,Stephan Lau,Mark Jenkinson,Lyndsey E. Collins-Praino +5 more
- 01 Dec 2023
TL;DR: Objective biomarkers of PD progression are critically needed, but must be validated prior to clinical deployment, and various clinical, neuroimaging and pathological measures as predictors of cognitive outcomes up to 5‐years follow‐up in early PD are assessed.