Super‐resolution MRI using microscopic spatial modulation of magnetization

By S. Ropele, Franz Ebner, F. Fazekas, Gernot Reishofer. 2010

18 citations recorded by the source corpus.

Subfields: Radiation, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Radiation

1. Arvid Lundervold

In Radiology, Nuclear Medicine and Imaging

1. Arvid Lundervold
2. Florian Tramèr
3. Dan Boneh

Citations in the corpus

• An overview of deep learning in medical imaging focusing on MRI (2018, methodology): “31 Super-resolution for MRI have been around for almost 10 years [191,192] and can be used to improve the trade-off between resolution, SNR, and acquisition time [193], generate 7T-like MR images on 3T MRI scanners [194], or obtain super-resolution T1 maps from a set of low resolution T1”