1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2023
On Functional Activations in Deep Neural Networks
Andrew S. Nencka, L. Tugan Muftuler, Peter LaViolette +1
Background: Deep neural networks have proven to be powerful computational tools for modeling, prediction, and generation. However, the workings of these models have generally been…
eess.IV2020★ 1 cited
Split Slice Training Augmentation and Hyperparameter Tuning of RAKI Networks for Simultaneous Multi-Slice Reconstruction
Andrew S. Nencka, PhD, Volkan E. Arpinar +7
Split-slice augmentation for simultaneous multi-slice RAKI networks positively impacts network performance. Hyperparameter tuning of such reconstruction networks can lead to furthe…