most citedA Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural Scenes

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cs.LG2020

Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial Robustness

Patrick McClure, Dustin Moraczewski, Ka Chun Lam +2

Deep neural networks (DNNs) are being increasingly used to make predictions from functional magnetic resonance imaging (fMRI) data. However, they are widely seen as uninterpretable…

cs.LG2018

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…