[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis
Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …
aiming to overcome the challenges associated with acquiring multiple image modalities for …
[HTML][HTML] The human connectome project: a retrospective
Abstract The Human Connectome Project (HCP) was launched in 2010 as an ambitious
effort to accelerate advances in human neuroimaging, particularly for measures of brain …
effort to accelerate advances in human neuroimaging, particularly for measures of brain …
[HTML][HTML] Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study
How individual differences in brain network organization track behavioral variability is a
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
State-level macro-economic factors moderate the association of low income with brain structure and mental health in US children
Macrostructural characteristics, such as cost of living and state-level anti-poverty programs
relate to the magnitude of socioeconomic disparities in brain development and mental …
relate to the magnitude of socioeconomic disparities in brain development and mental …
iBEAT V2. 0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction
The human cerebral cortex undergoes dramatic and critical development during early
postnatal stages. Benefiting from advances in neuroimaging, many infant brain magnetic …
postnatal stages. Benefiting from advances in neuroimaging, many infant brain magnetic …
Racial disparities in adversity during childhood and the false appearance of race-related differences in brain structure
Objective: Black Americans in the United States are disproportionately exposed to childhood
adversity compared with White Americans. Such disparities may contribute to race-related …
adversity compared with White Americans. Such disparities may contribute to race-related …
Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity
Algorithmic biases that favor majority populations pose a key challenge to the application of
machine learning for precision medicine. Here, we assessed such bias in prediction models …
machine learning for precision medicine. Here, we assessed such bias in prediction models …
[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 …
QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data
Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for
noninvasively studying the organization of white matter in the human brain. Here we …
noninvasively studying the organization of white matter in the human brain. Here we …
Associations between prenatal cannabis exposure and childhood outcomes: results from the ABCD study
Importance In light of increasing cannabis use among pregnant women, the US Surgeon
General recently issued an advisory against the use of marijuana during pregnancy …
General recently issued an advisory against the use of marijuana during pregnancy …