K-space interpolation using CV(complex valued)-CNN & sparse and low-rank model of ALOHA
Kyong Jin, EPFL STI LIB

Meeting • 09 August 2016 • BM 4 233

Abstract
In this presentation, I will present a complex-valued convolutional neural networks for accelerated MR problem. We could observe a connection between annihilating filter and convolutional network for accelerated MRI. Furthermore, recently, we extended ALOHA framework for sparse and low-rank model. We will briefly show some applications and flowchart.