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Big data approaches to decomposing heterogeneity across the autism spectrum
Autism is a diagnostic label based on behavior. While the diagnostic criteria attempt to
maximize clinical consensus, it also masks a wide degree of heterogeneity between and …
maximize clinical consensus, it also masks a wide degree of heterogeneity between and …
Classification and prediction of brain disorders using functional connectivity: promising but challenging
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …
data, have been employed to reflect functional integration of the brain. Alteration in brain …
Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder
The mechanisms underlying phenotypic heterogeneity in autism spectrum disorder (ASD)
are not well understood. Using a large neuroimaging dataset, we identified three latent …
are not well understood. Using a large neuroimaging dataset, we identified three latent …
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Artificial intelligence (AI) systems for computer-aided diagnosis and image-based screening
are being adopted worldwide by medical institutions. In such a context, generating fair and …
are being adopted worldwide by medical institutions. In such a context, generating fair and …
Fastsurfer-a fast and accurate deep learning based neuroimaging pipeline
Traditional neuroimage analysis pipelines involve computationally intensive, time-
consuming optimization steps, and thus, do not scale well to large cohort studies with …
consuming optimization steps, and thus, do not scale well to large cohort studies with …
rs-fMRI and machine learning for ASD diagnosis: a systematic review and meta-analysis
Abstract Autism Spectrum Disorder (ASD) diagnosis is still based on behavioral criteria
through a lengthy and time-consuming process. Much effort is being made to identify brain …
through a lengthy and time-consuming process. Much effort is being made to identify brain …
Contrastive machine learning reveals the structure of neuroanatomical variation within autism
Autism spectrum disorder (ASD) is highly heterogeneous. Identifying systematic individual
differences in neuroanatomy could inform diagnosis and personalized interventions. The …
differences in neuroanatomy could inform diagnosis and personalized interventions. The …