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Machine learning for medical imaging: methodological failures and recommendations for the future
Research in computer analysis of medical images bears many promises to improve patients'
health. However, a number of systematic challenges are slowing down the progress of the …
health. However, a number of systematic challenges are slowing down the progress of the …
[HTML][HTML] Using Machine Learning to make nanomaterials sustainable
Sustainable development is a key challenge for contemporary human societies; failure to
achieve sustainability could threaten human survival. In this review article, we illustrate how …
achieve sustainability could threaten human survival. In this review article, we illustrate how …
Standardizing workflows in imaging transcriptomics with the abagen toolbox
Gene expression fundamentally shapes the structural and functional architecture of the
human brain. Open-access transcriptomic datasets like the Allen Human Brain Atlas provide …
human brain. Open-access transcriptomic datasets like the Allen Human Brain Atlas provide …
When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing
M Rubin - Synthese, 2021 - Springer
Scientists often adjust their significance threshold (alpha level) during null hypothesis
significance testing in order to take into account multiple testing and multiple comparisons …
significance testing in order to take into account multiple testing and multiple comparisons …
[HTML][HTML] Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact …
We evaluated 1038 of the most cited structural and functional (fMRI) magnetic resonance
brain imaging papers (1161 studies) published during 1990–2012 and 270 papers (300 …
brain imaging papers (1161 studies) published during 1990–2012 and 270 papers (300 …
[HTML][HTML] Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI
A fundamental goal across the neurosciences is the characterization of relationships linking
brain anatomy, functioning, and behavior. Although various MRI modalities have been …
brain anatomy, functioning, and behavior. Although various MRI modalities have been …
Protecting against researcher bias in secondary data analysis: challenges and potential solutions
Abstract Analysis of secondary data sources (such as cohort studies, survey data, and
administrative records) has the potential to provide answers to science and society's most …
administrative records) has the potential to provide answers to science and society's most …
Reusing natural experiments
After a natural experiment is first used, other researchers often reuse the setting, examining
different outcome variables. We use simulations based on real data to illustrate the multiple …
different outcome variables. We use simulations based on real data to illustrate the multiple …
Psychology needs to get tired of winning
GJ Haeffel - Royal Society Open Science, 2022 - royalsocietypublishing.org
Psychological science is on an extraordinary winning streak. A review of the published
literature shows that nearly all study hypotheses are supported. This means that either all …
literature shows that nearly all study hypotheses are supported. This means that either all …
[HTML][HTML] Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use
AR Laird - NeuroImage, 2021 - Elsevier
Large, open datasets have emerged as important resources in the field of human
connectomics. In this review, the evolution of data sharing involving magnetic resonance …
connectomics. In this review, the evolution of data sharing involving magnetic resonance …