Ensemble learning of convolutional neural network, support vector machine, and best linear unbiased predictor for brain age prediction: Aramis contribution to the …
We ranked third in the Predictive Analytics Competition (PAC) 2019 challenge by achieving
a mean absolute error (MAE) of 3.33 years in predicting age from T1-weighted MRI brain …
a mean absolute error (MAE) of 3.33 years in predicting age from T1-weighted MRI brain …
Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis
LA Maglanoc, T Kaufmann, R Jonassen… - Human brain …, 2020 - Wiley Online Library
Previous structural and functional neuroimaging studies have implicated distributed brain
regions and networks in depression. However, there are no robust imaging biomarkers that …
regions and networks in depression. However, there are no robust imaging biomarkers that …
[HTML][HTML] Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: A multisample diffusion tensor imaging study
S Tønnesen, T Kaufmann, AMG de Lange… - Biological Psychiatry …, 2020 - Elsevier
Background Schizophrenia (SZ) and bipolar disorder (BD) share substantial
neurodevelopmental components affecting brain maturation and architecture. This …
neurodevelopmental components affecting brain maturation and architecture. This …
Maternal depressive symptoms during pregnancy and brain age in young adult offspring: findings from a prenatal birth cohort
K Mareckova, R Marecek, L Andryskova… - Cerebral …, 2020 - academic.oup.com
Maternal depression during pregnancy is associated with elevated risk of anxiety and
depression in offspring, but the mechanisms are incompletely understood. Here we …
depression in offspring, but the mechanisms are incompletely understood. Here we …
Autoencoder Based Normative Model for Structural Magnetic Resonance Imaging Analysis
E Einarsson - skemman.is
Deep learning has been shown to outperform other machine learning methods in various
domains such as image, text, and speech processing. Recently much effort has gone into …
domains such as image, text, and speech processing. Recently much effort has gone into …