Our latest work is out in eLife: https://elifesciences.org/articles/71186 We show how small pial arteries can be targeted effectively with high-resolution in vivo MR imaging. The data is openly available (https://doi.org/10.17605/OSF.IO/NR6GC) and may be used for building models of brain physiology. Read more…
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 Read more…
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: Read more…
These are the slides for the talk I gave at the ARCOS Symposium in November 2021:
Our article “QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping” was just published in MRM 🙂 In this article we developed an automated, scalable, and robust QSM workflow that starts from Dicom images and produces segmentations of regions Read more…
We had the fantastic opportunity to present the neurodesk project in today’s ANZ ISMRM reproducibility workshop. The 50 participants across Australia got to see the first live demo of the project and I am glad everything worked out and ran Read more…
Today I had the pleasure of presenting in the fortnightly Melbourne Brain Centre Imaging Unit (MBCIU) seminar at the University of Melbourne. I took the opportunity to share some thoughts and insights about fast and high-resolution fMRI at 7T. This Read more…
I had the great opportunity to present in the AARnet Reseracher Talks webinar Winter Series 2021 and in this Research Showcase Webinar I highlighted interoperability examples between AARnet CloudStor with external tools and services like Zotero, the open science foundation Read more…
I recently had the wonderful opportunity to present our deep learning work in magnetic resonance imaging at the ML4AU CoP showcase event to more than 65 participants. I showed one example on efficiently solving an ill-posed inverse problem for quantitative Read more…
When using a High Performance Computing System you also might have run into the problem of how to get data in and out of this system. We are very lucky in Australia to have CloudStor, which is Aarnets hosted OwnCloud Read more…