Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review
Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
Genetics of the connectome
Connectome genetics attempts to discover how genetic factors affect brain connectivity.
Here we review a variety of genetic analysis methods—such as genome-wide association …
Here we review a variety of genetic analysis methods—such as genome-wide association …
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
mental disorder is recognized as a significant breakthrough in the field of psychiatry …
Morphological changes in subregions of hippocampus and amygdala in major depressive disorder patients
Despite many neuroimaging studies in the past years, the neuroanatomical substrates of
major depressive disorder (MDD) subcortical structures are still not well understood. Since …
major depressive disorder (MDD) subcortical structures are still not well understood. Since …
Influence of APOE genotype on hippocampal atrophy over time-an N= 1925 surface-based ADNI study
The apolipoprotein E (APOE) e4 genotype is a powerful risk factor for late-onset Alzheimer's
disease (AD). In the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort, we …
disease (AD). In the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort, we …
Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus
In this paper, we develop a new automated surface registration system based on surface
conformal parameterization by holomorphic 1-forms, inverse consistent surface fluid …
conformal parameterization by holomorphic 1-forms, inverse consistent surface fluid …
[图书][B] Tensors for data processing: theory, methods, and applications
Y Liu - 2021 - books.google.com
Tensors for Data Processing: Theory, Methods and Applications presents both classical and
state-of-the-art methods on tensor computation for data processing, covering computation …
state-of-the-art methods on tensor computation for data processing, covering computation …
Genetic influence of apolipoprotein E4 genotype on hippocampal morphometry: An N = 725 surface‐based Alzheimer's disease neuroimaging initiative study
The apolipoprotein E (APOE) e4 allele is the most prevalent genetic risk factor for
Alzheimer's disease (AD). Hippocampal volumes are generally smaller in AD patients …
Alzheimer's disease (AD). Hippocampal volumes are generally smaller in AD patients …
Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects
Apolipoprotein E (APOE) e4 is the major genetic risk factor for late-onset Alzheimer's
disease (AD). The dose-dependent impact of this allele on hippocampal volumes has been …
disease (AD). The dose-dependent impact of this allele on hippocampal volumes has been …
A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder
Autism spectrum disorder (ASD) is accompanied with widespread impairment in social-
emotional functioning. Classification of ASD using sensitive morphological features derived …
emotional functioning. Classification of ASD using sensitive morphological features derived …