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Author

Mark S. Graham

Observed names: Graham, M, Graham, Mark, Graham, Mark S, Graham, Mark S., M. Graham, M.S. Graham, Mark Graham, Mark S Graham
ORCID: 0000-0002-4170-1095
Observed ORCID: 0000-0002-4170-1095
OpenAlex ID: A5083427047
Attributes and predictors of long COVID
2021 · Carole H. Sudre, Benjamin Murray, et al. · Nature Medicine · 2,834
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Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study
2020 · Long H Nguyen, David A Drew, et al. · The Lancet Public Health · 2,491
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Vaccine after Effects and Post-Vaccine Infection in a Real World Setting: Results from the COVID Symptom Study App
2021 · Cristina Menni, Kerstin Klaser, et al. · The Lancet Infectious Diseases · 1,049
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Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study
2021 · Michela Antonelli, Rose S Penfold, et al. · The Lancet Infectious Diseases · 913
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Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images
2016 · Jesper L. R Andersson, Mark S. Graham, et al. · NeuroImage · 795
Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement
2017 · Jesper L.R. Andersson, Mark S. Graham, et al. · NeuroImage · 379
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Self-reported COVID-19 vaccine hesitancy and uptake among participants from different racial and ethnic groups in the United States and United Kingdom
2022 · Long H. Nguyen, Amit D. Joshi, et al. · Nature Communications · 347
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Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study
2021 · Mark S Graham, Carole H Sudre, et al. · The Lancet Public Health · 342
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Diet quality and risk and severity of COVID-19: a prospective cohort study
2021 · Jordi Merino, Amit D. Joshi, et al. · Gut · 216
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Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app
2021 · Carole H. Sudre, Karla A. Lee, et al. · Science Advances · 202
Generative AI for Medical Imaging: extending the MONAI Framework
2023 · Pinaya, Walter H. L., Graham, Mark S., et al. · arXiv (Cornell University) · 170
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Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data
2017 · Jesper L.R. Andersson, Mark S. Graham, et al. · NeuroImage · 160
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Modest effects of dietary supplements during the COVID-19 pandemic: insights from 445 850 users of the COVID-19 Symptom Study app
2021 · Panayiotis Louca, Benjamin Murray, et al. · BMJ Nutrition Prevention & Health · 159
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Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
2022 · Walter H. L. Pinaya, Mark S. Graham, et al. · Lecture notes in computer science · 137
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Realistic simulation of artefacts in diffusion MRI for validating post-processing correction techniques
2015 · Mark S. Graham, Ivana Drobnjak, et al. · NeuroImage · 120
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Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults
2020 · Maria Beatrice Zazzara, Rose S Penfold, et al. · Age and Ageing · 109
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Race, ethnicity, community-level socioeconomic factors, and risk of COVID-19 in the United States and the United Kingdom
2021 · Chun-Han Lo, Long H. Nguyen, et al. · EClinicalMedicine · 107
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Denoising diffusion models for out-of-distribution detection
2023 · Mark S. Graham, Walter H. L. Pinaya, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 106
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Quantitative assessment of the susceptibility artefact and its interaction with motion in diffusion MRI
2017 · Mark S. Graham, Ivana Drobnjak, et al. · PLoS ONE · 102
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Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app
2021 · Kerstin Klaser, Ellen J. Thompson, et al. · Journal of Neurology Neurosurgery & Psychiatry · 89
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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study
2021 · Liane S Canas, Carole H Sudre, et al. · The Lancet Digital Health · 89
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Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study
2020 · Thomas Varsavsky, Mark S Graham, et al. · The Lancet Public Health · 88
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Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study
2021 · Carole H Sudre, Ayya Keshet, et al. · The Lancet Digital Health · 87
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Cancer and Risk of COVID-19 Through a General Community Survey
2020 · Karla A. Lee, Wenjie Ma, et al. · The Oncologist · 84
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The mental health burden of racial and ethnic minorities during the COVID-19 pandemic
2022 · Long H. Nguyen, Adjoa Anyane-Yeboa, et al. · PLoS ONE · 78
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Works count: 68
Citation count: 12,360
H-index: 35
I10-index: 48
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