Litcius/Paper detail

T<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si119.svg" display="inline" id="d1e1242"><mml:msup><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction

Yinghao Zhang, Peng Li, Yue Hu

2024Computers in Biology and Medicine10 citationsDOI

Topics & Concepts

Scalable Vector GraphicsComputer scienceWorld Wide WebSparse and Compressive Sensing TechniquesAdvanced Neuroimaging Techniques and ApplicationsTensor decomposition and applications
T<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si119.svg" display="inline" id="d1e1242"><mml:msup><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction | Litcius