Our new preprint is online. NeXtQSM is a deep learning pipeline for data-consistent quantitative susceptibility mapping trained with simulated data build by our CIBIT MPhil student Francesco Cognolato: [2107.07752] NeXtQSM — A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data (arxiv.org)
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 Read more…
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 Read more…
This week I gave a talk about the Open Data ecosystem and how our open-source project https://NeuroDesk.org makes it very easy to access and publish open data. Here is the recording: Here are the slides:
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