MRM Highlights feature

We were very fortunate to be highlighted in MRM for our paper “Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning B1+ estimation” and the reproducible research habits in our group 🙂 The interview covering the contents of the paper can be found Read more…

Connect AARNET Cloudstor with OSF

Cloudstor is a wonderful storage service providing 1TB of owncloud storage for researchers in Australia. It’s like dropbox, but your data is in Australia, very fast to access from aarnet institutions and they provide a jupyter notebook service SWAN that can directly access this data 🙂 Wouldn’t it be nice Read more…

Improving FLAIR SAR Efficiency at 7T by Adaptive Tailoring of Adiabatic Pulse Power through Deep Learning Estimation

The full publication can be found here: https://doi.org/10.1002/mrm.28590 The preprint is here: [1911.08118] Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks (arxiv.org) The data used to train the model is on OSF: And we also built a colab notebook (described Read more…