most citedAn untrained deep learning method for reconstructing dynamic magnetic resonance images from accelerated model-based data

12 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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2 papers

eess.IV2022★ 12 cited

An untrained deep learning method for reconstructing dynamic magnetic resonance images from accelerated model-based data

Kalina P. Slavkova, Julie C. DiCarlo, Viraj Wadhwa +5

The purpose of this work is to implement physics-based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerat…

stat.ML2014

Designing Optimal Mortality Risk Prediction Scores that Preserve Clinical Knowledge

Natalia M. Arzeno, Karla A. Lawson, Sarah V. Duzinski +1

Many in-hospital mortality risk prediction scores dichotomize predictive variables to simplify the score calculation. However, hard thresholding in these additive stepwise scores o…