[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Removing the bias and variance of multicentre data has always been a challenge in large
scale digital healthcare studies, which requires the ability to integrate clinical features …
scale digital healthcare studies, which requires the ability to integrate clinical features …
[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
Association of structural magnetic resonance imaging measures with psychosis onset in individuals at clinical high risk for developing psychosis: an ENIGMA working …
M Jalbrzikowski, RA Hayes, SJ Wood… - JAMA …, 2021 - jamanetwork.com
Importance The ENIGMA clinical high risk (CHR) for psychosis initiative, the largest pooled
neuroimaging sample of individuals at CHR to date, aims to discover robust neurobiological …
neuroimaging sample of individuals at CHR to date, aims to discover robust neurobiological …
Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years
Age has a major effect on brain volume. However, the normative studies available are
constrained by small sample sizes, restricted age coverage and significant methodological …
constrained by small sample sizes, restricted age coverage and significant methodological …
FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging
The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …
of data generated by today's clinical systems, has led to the development of imaging AI …
Comparison of traveling‐subject and ComBat harmonization methods for assessing structural brain characteristics
N Maikusa, Y Zhu, A Uematsu… - Human brain …, 2021 - Wiley Online Library
Multisite magnetic resonance imaging (MRI) is increasingly used in clinical research and
development. Measurement biases—caused by site differences in scanner/image …
development. Measurement biases—caused by site differences in scanner/image …
Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites
Background Establishing objective and quantitative neuroimaging biomarkers at individual
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …
A meta‐analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the …
Schizophrenia is associated with widespread alterations in subcortical brain structure. While
analytic methods have enabled more detailed morphometric characterization, findings are …
analytic methods have enabled more detailed morphometric characterization, findings are …
Gradient matching federated domain adaptation for brain image classification
Federated learning has shown its unique advantages in many different tasks, including brain
image analysis. It provides a new way to train deep learning models while protecting the …
image analysis. It provides a new way to train deep learning models while protecting the …
[HTML][HTML] Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses
Site differences, or systematic differences in feature distributions across multiple data-
acquisition sites, are a known source of heterogeneity that may adversely affect large-scale …
acquisition sites, are a known source of heterogeneity that may adversely affect large-scale …