Neurodesk paper published in Nature Methods

Our www.neurodesk.org paper was published in Nature Methods today: https://rdcu.be/dvqwU And we published a blog post describing why and how we developed this platform: https://communities.springernature.com/posts/reproducible-neuroimaging-for-everyone-behind-the-scenes-of-neurodesk 🧠 As researchers in neuroimaging, we often face hurdles with software installation and inconsistent results across different computing environments. But Neurodesk helps with that! ✨ Neurodesk is a Read more…

NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data

Our latest work just got published in Medical Image Analysis: Deep learning based Quantitative Susceptibility Mapping (QSM) has shown great potential in recent years, obtaining similar results to established non-learning approaches. Many current deep learning approaches are not data consistent, require in vivo training data or solve the QSM problem Read more…

TOMCAT dataset on Oracle Open Data

Oracle Cloud recently launched a platform to host scientific datasets and we uploaded our unique Hippocampus dataset (Towards Optimising MRI Characterisation of Tissue (TOMCAT) Dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data – ScienceDirect): https://opendata.oraclecloud.com/ords/r/opendata/opendata/details?data_set_id=28&bucket_name=TOMCAT&prefix=&clear=RR&session=610618357889967&cs=1o7GdDLNfm3PHWwxI2thFXrA8jHPcvjZCdFibkYYIPPofNfOuvVt8B6S0B7YTnzIOf6cDk9BXW5hSV9b8LmhoQA More background can be found in this blogpost: Oracle Open Data platform Read more…

Combining conda and google colab

Sometimes it’s necessary to downgrade packages in google colab to restore compatibility with an older version (e.g. pytorch). One way of doing this is using conda within colab and a few tricks make this work. Here is the colab notebook: https://colab.research.google.com/drive/1W5UnflB8m1zo6lP1y11V78QczMRBI0FE?usp=sharing Here a quick code gist: