5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 2 cited
Knowing what you know in brain segmentation using Bayesian deep neural networks
Patrick McClure, Nao Rho, John A. Lee +7
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours. The network was tra…
cs.LG2018★ 5 cited
Distributed Weight Consolidation: A Brain Segmentation Case Study
Patrick McClure, Charles Y. Zheng, Jakub R. Kaczmarzyk +5
Collecting the large datasets needed to train deep neural networks can be very difficult, particularly for the many applications for which sharing and pooling data is complicated b…
cs.SD2012
Algorithm to suppress scanner noise in recorded speech during functional magnetic resonance imaging
Satrajit S. Ghosh
The high-intensity, repetitive noise associated with functional magnetic resonance imaging hinders on-line monitoring of subjects' speech and/or recording speech signals suitable f…