research
∙
12/03/2018
Knowing what you know in brain segmentation using deep neural networks
In this paper, we describe a deep neural network trained to predict Free...
share
research
∙
05/28/2018
Parallel Weight Consolidation: A Brain Segmentation Case Study
Collecting the large datasets needed to train deep neural networks can b...
research
∙
12/27/2017
Extrapolating Expected Accuracies for Large Multi-Class Problems
The difficulty of multi-class classification generally increases with th...
research
∙
10/08/2015
Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network
Approximate Bayesian Computation (ABC) methods are used to approximate p...
research
∙
11/19/2014
Quantifying error in estimates of human brain fiber directions using Earth Mover's Distance
Diffusion-weighted MR imaging (DWI) is the only method we currently have...
research
∙
09/25/2014
