641 citations · 1.2k across the 16 of their papers we have counts for
3 papers · 1 filter
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets
Benjamin Billot, Colin Magdamo, You Cheng +3
Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset. Therefore, the ability to analyse su…
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining
Benjamin Billot, Magdamo Colin, Sean E. Arnold +2
Retrospective analysis of brain MRI scans acquired in the clinic has the potential to enable neuroimaging studies with sample sizes much larger than those found in research dataset…
Accurate super-resolution low-field brain MRI
Juan Eugenio Iglesias, Riana Schleicher, Sonia Laguna +7
The recent introduction of portable, low-field MRI (LF-MRI) into the clinical setting has the potential to transform neuroimaging. However, LF-MRI is limited by lower resolution an…