Article

Calibration of MRI-based reference intervals to new samples

2025-11-26

Abstract excerpt

Reference intervals, defined as intervals containing a new observation with a specified probability relative to reference data, would be clinically useful in assessing brain magnetic resonance imaging (MRI). Brain charts, which are estimates of MRI phenotypes across covariates such as age and sex, can be used to construct reference intervals. However, the reference data used to fit intervals often differs from a n...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 34899146-2eed-55bb-ba1d-5289ce0d6784
DOI: 10.1101/2025.11.25.690453

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Calibration of MRI-based reference intervals to new samplesDOI 10.1101/2025.11.25.690453Read

BARTharm: MRI Harmonization Using Image Quality Metrics and Bayesian Non-parametricSemantic proximity Read

ComBat-Predict enhances generalizability of neuroimaging models to new sitesSemantic proximity Read

Longitudinal ComBat: A Method for Harmonizing Longitudinal Multi-scanner Imaging DataSemantic proximity Read

Lifespan reference curves for harmonizing multi-site regional brain white matter metrics from diffusion MRISemantic proximity Read

Tackling Bias in Cortical Thickness Estimation in UK Biobank Using Harmonisation ApproachesSemantic proximity Read

Harmonising Structural Brain MRI from Multiple Sites with Limited Sample SizesSemantic proximity Read

A Unified Form of Batch Harmonization Equation for Normative Modeling: A Location–Scale FrameworkSemantic proximity Read

Generating Templates and Growth Charts for School-Aged Brain DevelopmentSemantic proximity Read

Brain growth charts of “clinical controls” for quantitative analysis of clinically acquired brain MRISemantic proximity Read

PORTRAIT: a calibrated patient ‘Passport’ with built-in refusal - describing individuals against a reference populationSemantic proximity Read

Demographic Calibration Gaps in Breast Cancer Risk Prediction: Introducing the Demographic Calibration Gap ScoreSemantic proximity Read

Calibrating machine learning approaches for probability estimation without calibration dataSemantic proximity Read