8 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 4 cited
0/1 Deep Neural Networks via Block Coordinate Descent
Hui Zhang, Shenglong Zhou, Geoffrey Ye Li +1
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs). As it counts 1 for positive variables and 0 for others, its intrinsi…
physics.med-ph2022★ 8 cited
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation
Sean C. Epstein, Timothy J. P. Bray, Margaret Hall-Craggs +1
Deep learning (DL) is gaining popularity as a parameter estimation method for quantitative MRI. A range of competing implementations have been proposed, relying on either supervise…