Search Results for author: Zhengnan Huang

Found 4 papers, 3 papers with code

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging

no code implementations23 Mar 2022 Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya

We consider inverse problems with both linear and non-linear forward models for computational MRI, and review the classical approaches for solving these.

MRI Reconstruction

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

1 code implementation8 Sep 2021 Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael S. Hansen, Matthew P. Lungren

Improving speed and image quality of Magnetic Resonance Imaging (MRI) via novel reconstruction approaches remains one of the highest impact applications for deep learning in medical imaging.

MRI Reconstruction

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