Scott Chapman
Overview
Explore the profile of Scott Chapman including associated specialties, affiliations and a list of published articles.
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Articles
38
Citations
551
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Recent Articles
1.
Lee L, Coelho D, Manzoor N, Wilcox A, Lee A, Graves A, et al.
Otol Neurotol Open
. 2024 Jun;
4(2):e051.
PMID: 38919767
Objective: Determine the incidence of vestibular disorders in patients with SARS-CoV-2 compared to the control population. Study Design: Retrospective. Setting: Clinical data in the National COVID Cohort Collaborative database (N3C)....
2.
Woodrow N, Gillespie D, Kitchin L, OBrien M, Chapman S, Chng N, et al.
BMC Public Health
. 2024 Mar;
24(1):718.
PMID: 38448869
Background: During the COVID-19 pandemic, United Kingdom (UK) stop smoking services had to shift to remote delivery models due to social distancing regulations, later reintroducing face-to-face provision. The "Living Well...
3.
David E, Ogidi F, Smith D, Chapman S, de Solan B, Guo W, et al.
Plant Phenomics
. 2024 Jan;
5:0059.
PMID: 38239739
Data competitions have become a popular approach to crowdsource new data analysis methods for general and specialized data science problems. Data competitions have a rich history in plant phenotyping, and...
4.
Kashyap M, Torniainen J, Bertling K, Kundu U, Singh K, Donose B, et al.
Opt Express
. 2023 Jul;
31(15):23877-23888.
PMID: 37475228
The response of terahertz to the presence of water content makes it an ideal analytical tool for hydration monitoring in agricultural applications. This study reports on the feasibility of terahertz...
5.
Patel B, Chapman S, Neumann J, Visaria A, Ogungbe O, Wen S, et al.
Res Sq
. 2023 Jun;
PMID: 37292998
Objective To determine the impact of acute SARS-CoV-2 infection on patient with concomitant active cancer and CVD. Methods The researchers extracted and analyzed data from the National COVID Cohort Collaborative...
6.
Li Y, Zhan X, Liu S, Lu H, Jiang R, Guo W, et al.
Plant Phenomics
. 2023 May;
5:0041.
PMID: 37223315
The number of leaves at a given time is important to characterize plant growth and development. In this work, we developed a high-throughput method to count the number of leaves...
7.
James C, Gu Y, Potgieter A, David E, Madec S, Guo W, et al.
Plant Phenomics
. 2023 Apr;
5:0017.
PMID: 37040294
Head (panicle) density is a major component in understanding crop yield, especially in crops that produce variable numbers of tillers such as sorghum and wheat. Use of panicle density both...
8.
Pham J, Boot M, Stefani M, Chapman S, Byrne A, Abdel-Shaheed C, et al.
Int J Rheum Dis
. 2023 Feb;
26(6):1167-1171.
PMID: 36798005
Introduction: Rheumatoid arthritis (RA) may predispose patients to opportunistic infections-either from innate immune dysregulation, or as a result of immunosuppressant use to treat the RA. Particularly concerning opportunistic infections are...
9.
Zhi X, Massey-Reed S, Wu A, Potgieter A, Borrell A, Hunt C, et al.
Plant Phenomics
. 2022 May;
2022:9768502.
PMID: 35498954
Sorghum, a genetically diverse C cereal, is an ideal model to study natural variation in photosynthetic capacity. Specific leaf nitrogen (SLN) and leaf mass per leaf area (LMA), as well...
10.
David E, Serouart M, Smith D, Madec S, Velumani K, Liu S, et al.
Plant Phenomics
. 2021 Nov;
2021:9846158.
PMID: 34778804
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various acquisition platforms and 7 countries/institutions....