DeepMI Lab
@deepmilab
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AI Methods for Medical Image Analysis - PI Martin Reuter
DZNE Bonn Germany & HMS Boston
Joined February 2020
Dear neuroimaging community: We would like to announce this year's #FastSurfer course in Bonn, Germany, from Sep. 17 - 19. Registration is now open Looking forward to seeing you there . .
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We just released #FastSurfer Version 2.4.1 with some hot fixes: --allow_root working, T2 can be passed again (for hypothalamus) and long stream with different image geometries.
github.com
FastSurfer v2.4.1 This hot fix release contains several fixes (the default pipeline is not affected): --allow_root was broken in run_fastsurfer and long_fastsurfer and now is fixed. the new longit...
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Happy to announce a new FastSurfer release v2.4 with an awesome longitudinal pipeline and more ways to manually edit (among other things) #FastSurfer.
github.com
FastSurfer v2.4.0 This version is a big one and introduces some really exciting new functionality! We almost made it a major release, but since it should not really break any compatibility, we will...
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Check out our newly released #FastSurfer v2.3 now with hypothalamus sub-segmentation ( #HypVINN ), now running also on Mac and H100 GPUs. Release notes: , Dockerhub: , Documentation:
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Happy to announce the 2024 #DeepMI #FastSurfer / #FreeSurfer course: join us Sept 26-27 in Bonn, Germany, for two exciting days on state-of-the-art methods in human structural neuroimaging. More info:
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Ho ho ho, after weeks of validating: the Xmas release of #FastSurfer is out: Version 2.2. was released today! It fixes an issue with the eTIV among other improvements. Try it out and let us know what you think.
github.com
PyTorch implementation of FastSurferCNN. Contribute to Deep-MI/FastSurfer development by creating an account on GitHub.
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Interested in sub-segmenting the hypothalamus region? Take a look at our new paper in @ImagingNeurosci which will become a module in #FastSurfer next year. @DZNE_en @MGHMartinos
direct.mit.edu
Abstract. The hypothalamus plays a crucial role in the regulation of a broad range of physiological, behavioral, and cognitive functions. However, despite its importance, only a few small-scale...
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How can we measure head motion during MRI acquisition? Come see us at #OHBM2023 Sun 12:15-14:15 and Mon 13:00-15:00 @ClemensPollak will stand by our poster (#746) on Quantifying Head Motion in large Population Cohorts. Also see @DZNE_en @MGHMartinos
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Happy to announce our newest #FastSurfer release now including #CerebNet for the sub-segmentation of the cerebellum. Enjoy
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* Fully-flexible means that our method can be used for any q-space acquisition scheme and can predict the diffusion signal for any q-vector.
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Interested in diffusion MRI signal reconstruction? With our DISCUS method, @christianewertx will present the first fully-flexible* learning-based method for this task @ISMRM Toronto on Wednesday, June 7th, between 8:15 and 9:15 a.m., digital poster 3611 at computer 27 #ISMRM23
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If you want to learn about head motion in MRI, check out our new paper: where we present a robust registration for tracking and show associations of motion with age, BMI and session duration in the #RhinelandStudy . #MartinosPubs @DZNE_en @MGHMartinos.
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RT @ImagingNeurosci: All NeuroImage and NeuroImage:Reports editors have resigned over the high publication fee, and are starting a new non-….
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Very happy to finally release #FastSurfer 2.0 after thorough testing, now with native sub-mm support! Take it for a spin and let us know what you think.
github.com
FastSurfer 2.0 Finally, we are happy to release a new major version of FastSurfer! After thorough testing we now base FastSurfer 2.0 on our VINN (voxel size independent neural network, see https://...
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We are proud to announce that our #FastSurfer neuro MRI methods are now funded for open-source development via the @ChanZuckerberg Initiative @DZNE_en @DZNE_de @MGHMartinos.
chanzuckerberg.com
Learn about FastSurfer - AI-Based NeuroImage Analysis Package.
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Congrats to Leonie and @kueglerd for their accepted @MICCAI_Society paper this year. We analyze show training your segmentation model with data at multiple imaging resolutions may bias segmentations and propose a solution to reduce this bias effect.
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Today we released #FastSurfer v1.1, basing the surface processing on FreeSurfer 7.2. It's even faster now! Stay tuned for our next major release to feature high-res processing with FastSurferVINN
github.com
We have worked hard to bring you this new and awesome release v1.1 !! After weeks of thorough testing we are finally happy with this version of FastSurfer, which is based on FreeSurfer 7.2 now. Ove...
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Congrats to @Saikat_Roy_ and @kueglerd for our accepted @midl_conference paper contrasting 2.5D and 3D CNN for (brain) segmentation!.
openreview.net
Segmentation of 3D volumes with a large number of labels, small convoluted structures, and lack of contrast between various structural boundaries is a difficult task. While recent methodological...
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Very excited to see our research featured @helmholtz_ai . Thanks for the funding, without it this would not be possible.
Today's #HelmholtzAIproject #showcase is developing #AI methods for early detection of neurodegenerative diseases like Alzheimer's using #MRI data.🧠🧑💻. Read more here:👉 DeGen is a collaborative project of researchers from @fz_juelich and @DZNE_en.
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RT @helmholtz_ai: Today's #HelmholtzAIproject #showcase is developing #AI methods for early detection of neurodegenerative diseases like Al….
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