Claire J. Steves
Nature Genetics · 2010–2022
A researcher in the Science corpus: 10 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Whom Claire J. Steves trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Hirotugu Akaike (in Evaluation & Benchmarks)
Who trusts Claire J. Steves
- Arvid Lundervold (in Cognitive Neuroscience)
Papers from Claire J. Steves's perspective
Ordered by how strongly the researchers Claire J. Steves trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- On the importance of initialization and momentum in deep learning
- Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters (NeuroImage)
- A global optimisation method for robust affine registration of brain images (Medical Image Anal.)
- Stereotaxic display of brain lesions. (Behavioural Neurology)
- A new look at the statistical model identification
- Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data (NeuroImage)
- Deep Learning: Methods and Applications
- [Asymptomatic infection of COVID-19 and its challenge to epidemic prevention and control]. (Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi)
Their papers
- Proton pump inhibitors alter the composition of the gut microbiota (2015) — 822 citations
- Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective observational study from the ZOE COVID Study (2022) — 714 citations
- Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study (2021) — 866 citations
- Attributes and predictors of long COVID (2021) — 2,181 citations
- Large-scale association analyses identify host factors influencing human gut microbiome composition (2021) — 1,459 citations
- Rapid implementation of mobile technology for real-time epidemiology of COVID-19 (2020) — 373 citations
- Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study (2020) — 1,662 citations
- The fecal metabolome as a functional readout of the gut microbiome (2018) — 628 citations
- Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker (2016) — 828 citations
- Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior (2010) — 726 citations