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Found 4 papers, 1 papers with code
Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting
We propose an unsupervised convolutional neural network (CNN) for relaxation parameter estimation.
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
Testing autonomous driving algorithms on real autonomous vehicles is extremely costly and many researchers and developers in the field cannot afford a real car and the corresponding sensors.
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space
We propose and evaluate a new MRI reconstruction method named LORAKI that trains an autocalibrated scan-specific recurrent neural network (RNN) to recover missing k-space data.
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods
Structured low-rank matrix models have previously been introduced to enable calibrationless MR image reconstruction from sub-Nyquist data, and such ideas have recently been extended to enable navigator-free echo-planar imaging (EPI) ghost correction.
