Machine learning for medical imaging: methodological failures and recommendations for the future

G Varoquaux, V Cheplygina - NPJ digital medicine, 2022 - nature.com
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 …

[HTML][HTML] Using Machine Learning to make nanomaterials sustainable

JJ Scott-Fordsmand, MJB Amorim - Science of The Total Environment, 2023 - Elsevier
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 …

Standardizing workflows in imaging transcriptomics with the abagen toolbox

RD Markello, A Arnatkeviciute, JB Poline, BD Fulcher… - elife, 2021 - elifesciences.org
Gene expression fundamentally shapes the structural and functional architecture of the
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 …

[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 …

D Szucs, JPA Ioannidis - NeuroImage, 2020 - Elsevier
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 …

[HTML][HTML] Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI

LQR Ooi, J Chen, S Zhang, R Kong, A Tam, J Li… - NeuroImage, 2022 - Elsevier
A fundamental goal across the neurosciences is the characterization of relationships linking
brain anatomy, functioning, and behavior. Although various MRI modalities have been …

Protecting against researcher bias in secondary data analysis: challenges and potential solutions

JR Baldwin, JB **ault, T Schoeler, HM Sallis… - European Journal of …, 2022 - Springer
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 …

Reusing natural experiments

D Heath, MC Ringgenberg, M Samadi… - The Journal of …, 2023 - Wiley Online Library
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 …

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 …

[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 …