Prediction of fluid intelligence from T1-w MRI images: A precise two-step deep learning framework
The Adolescent Brain Cognitive Development (ABCD) Neurocognitive Prediction Challenge
(ABCD-NP-Challenge) is a community-driven competition that challenges competitors to …
(ABCD-NP-Challenge) is a community-driven competition that challenges competitors to …
Predicting fluid intelligence in adolescence from structural MRI with deep learning methods
Background The objective of this study was to investigate the potential of unsegmented
structural T1w MR images of adolescent brain for predicting uncorrected/actual fluid …
structural T1w MR images of adolescent brain for predicting uncorrected/actual fluid …
Inferring neurocognition and intelligence using brain mri
MA Hussain, E Grant, Y Ou - 2023 - preprints.org
Brain magnetic resonance imaging (MRI) offers a unique lens to study neuroanatomic
support of human neurocognition and intelligence. A core mystery is the MRI explanation of …
support of human neurocognition and intelligence. A core mystery is the MRI explanation of …
Interpretation of 3d cnns for brain mri data classification
Deep learning shows high potential for many medical image analysis tasks. Neural networks
can work with full-size data without extensive preprocessing and feature generation and …
can work with full-size data without extensive preprocessing and feature generation and …
Can deep learning predict human intelligence from structural brain MRI?
MA Hussain, D LaMay, E Grant, Y Ou - bioRxiv, 2023 - biorxiv.org
Can brain structure predict human intelligence? T1-weighted structural brain magnetic
resonance images (sMRI) have been correlated with intelligence. Nevertheless, population …
resonance images (sMRI) have been correlated with intelligence. Nevertheless, population …
[PDF][PDF] Interpretable deep learning for pattern recognition in brain differences between men and women
Deep learning shows high potential for many medical image analysis tasks. Neural networks
work with full-size data without extensive preprocessing and feature generation and, thus …
work with full-size data without extensive preprocessing and feature generation and, thus …