Downloads provided by UsageCounts
This repository contains data required to reproduce the figures of the manuscript Deep, Deep Learning with BART. The corresponding scripts can be found at https://github.com/mrirecon/deep-deep-learning-with-bart. The example data in this repository are based on the data published with the manuscripts of the Variational Network [1] and MoDL [2]. [1]: Hammernik K, Klatzer T, Kobler E, Recht MP, Sodickson DK, Pock T, Knoll F. Learning a variational network for reconstruction of accelerated MRI data. Magn Reson Med 2018; 79:3055-3071. [2]: Aggarwal HK, Mani MP, Jacob M. MoDL: Model-Based Deep Learning Architecture for Inverse Problems. IEEE Trans Med Imaging 2019; 38:394--405.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 34 |

Views provided by UsageCounts
Downloads provided by UsageCounts