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[HTML][HTML] Ethical considerations for precision psychiatry: a roadmap for research and clinical practice
Precision psychiatry is an emerging field with transformative opportunities for mental health.
However, the use of clinical prediction models carries unprecedented ethical challenges …
However, the use of clinical prediction models carries unprecedented ethical challenges …
[HTML][HTML] Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation
R Ge, Y Yu, YX Qi, Y Fan, S Chen, C Gao… - The Lancet Digital …, 2024 - thelancet.com
The value of normative models in research and clinical practice relies on their robustness
and a systematic comparison of different modelling algorithms and parameters; however …
and a systematic comparison of different modelling algorithms and parameters; however …
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in
hospitals across the world. These have the potential to revolutionize our understanding of …
hospitals across the world. These have the potential to revolutionize our understanding of …
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Every year, millions of brain MRI scans are acquired in hospitals, which is a figure
considerably larger than the size of any research dataset. Therefore, the ability to analyze …
considerably larger than the size of any research dataset. Therefore, the ability to analyze …
Quantitative brain morphometry of portable low-field-strength MRI using super-resolution machine learning
Background Portable, low-field-strength (0.064-T) MRI has the potential to transform
neuroimaging but is limited by low spatial resolution and low signal-to-noise ratio. Purpose …
neuroimaging but is limited by low spatial resolution and low signal-to-noise ratio. Purpose …
[HTML][HTML] Contextualizing adolescent structural brain development: Environmental determinants and mental health outcomes
The spatiotemporal group-level patterns of brain macrostructural development are relatively
well-documented. Current research emphasizes individual variability in brain development …
well-documented. Current research emphasizes individual variability in brain development …
Four-dimensional map** of dynamic longitudinal brain subcortical development and early learning functions in infants
Brain subcortical structures are paramount in many cognitive functions and their aberrations
during infancy are predisposed to various neurodevelopmental and neuropsychiatric …
during infancy are predisposed to various neurodevelopmental and neuropsychiatric …
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer's disease
Background Although convolutional neural networks (CNNs) achieve high diagnostic
accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance …
accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance …
The enhancing NeuroImaging genetics through meta‐analysis consortium: 10 Years of global collaborations in human brain map**
Abstract This Special Issue of Human Brain Map** is dedicated to a 10‐year anniversary
of the Enhancing NeuroImaging Genetics through Meta‐Analysis (ENIGMA) Consortium. It …
of the Enhancing NeuroImaging Genetics through Meta‐Analysis (ENIGMA) Consortium. It …
Multisite test–retest reliability and compatibility of brain metrics derived from FreeSurfer versions 7.1, 6.0, and 5.3
Automatic neuroimaging processing tools provide convenient and systematic methods for
extracting features from brain magnetic resonance imaging scans. One tool, FreeSurfer …
extracting features from brain magnetic resonance imaging scans. One tool, FreeSurfer …