Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data

16 December 2023

Papers citing "Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data"

4 / 4 papers shown

Title
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 35 12 0 28 Oct 2022
Scaling Laws For Deep Learning Based Image Reconstruction Tobit Klug Reinhard Heckel 57 12 0 27 Sep 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015