research
∙
08/14/2023
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
Brain extraction in magnetic resonance imaging (MRI) data is an importan...
share
research
∙
02/10/2023
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling
The brain-age gap is one of the most investigated risk markers for brain...
research
∙
10/25/2021
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Data acquisition in animal ecology is rapidly accelerating due to inexpe...
research
∙
07/16/2021
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling
The deviation between chronological age and age predicted from neuroimag...
research
∙
04/13/2021
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks
Overfitting is one of the fundamental challenges when training convoluti...
research
∙
03/22/2021
Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks
Age prediction based on Magnetic Resonance Imaging (MRI) data of the bra...
research
∙
02/21/2020
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization
Overfitting is one of the most common problems when training deep neural...
research
∙
02/13/2020
