DeepBrainLab use deep learning on MRI to improve and automate the diagnosis, classification and response evaluation in patients with brain tumors.
Joined March 2019
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In this study, we use a neural network for segmenting brain metastases that’s able to handle missing MRI data during inference. This is likely of high value for generalizing deep learning segmentation models for use in multiple different imaging sites.
nature.com/articles/s41746-0…
DeepBrainLab retweeted
ICYMI: AI-based image reconstruction and postprocessing methods are likely to be implemented first in MRI, according to @GregZ_mD of @StanfordRad. bit.ly/2PZGRhX #ISMRM20 #MRI #radiology
Good news! Our article was read enough times to be a #TopDownloadedArticle in its journal. Read it here: doi.org/10.1002/jmri.26766
DeepBrainLab retweeted
Big day of celebration 🎉 Ingrid Digernes successfully defended her PhD thesis on perfusion #MRI in #braintumors @unioslo_mn @Fysikk_UniOslo and @Oslounivsykehus Very proud! @LOOPSproject
In an international multicenter study, we are very exited to demonstrate a novel DropOut neural network that’s able to handle missing MRI input data in deep learning segmentation of brain metastases.
Read all about it in our latest arXiv preprint:
arxiv.org/abs/1912.11966
