Search Results for author: P. Spincemaille

Found 1 papers, 1 papers with code

Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training

1 code implementation16 Apr 2020 R. Jafari, P. Spincemaille, J. Zhang, T. D. Nguyen, M. R. Prince, X. Luo, J. Cho, D. Margolis, Y. Wang

Purpose: To use a deep neural network (DNN) for solving the optimization problem of water/fat separation and to compare supervised and unsupervised training.

Cannot find the paper you are looking for? You can Submit a new open access paper.