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Follow-up from #3
Most ML-MRI-analysis-packages additionally rely on PyTorch or Tensorflow. Most notably:
- fastMRI
- Deep-MRI-Reconstruction
Additionally, many pipeline-packages mix and ma…
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Greetings, when running the program with lmer function (and formula for multilevel modeling), the output changes based on the inclusion (or exclusion) of "weights").
For example, when running the f…
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Dear professors,
Thanks for your contribution on providing NSP method to calculate integrate and segragate.
I used your shared code to calcualte the Hin and Hse, but I found that all Hin were le…
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### Title
Clustintime: a toolbox for spatio-temporal clustering of fMRI data
### Leaders
Cris Tobías (@cristobias)
### Collaborators
_No response_
### Brainhack Global 2023 Event
…
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### Title
Big Linear Modelling and Big Linear Mixed Modelling
### Short description and the goals for the OHBM BrainHack
Large-scale, shared datasets are becoming increasingly commonplace in …
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**Link to the repository**:
https://github.com/brainiak/brainiak-tutorials
**Title of notebook:**
There are 13 notebooks, from basics to advanced techniques.
**Authors:**
Manoj Kumar, Cam…
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Current documentation (especially workflow description) is ok when it comes to answering fairly technical and specific questions ("What was used to perform skull stripping?"). However, to make FMRIPRE…
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It would be logical that the directory structure of the subject-level derivatives would reflect the structure of the raw data. Therefore, we may need to think the structure of the raw data with a bi…
tsalo updated
4 years ago
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It looks like the example doesn't actually run any of the denoising methods: https://paquiteau.github.io/patch-denoising/auto_examples/example_experimental_data.html#sphx-glr-auto-examples-example-exp…
tsalo updated
1 month ago
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Hello,
Before reading more background, to summarize, our question is:
**Is it possible to create synthetic data from parameters found from using rDCM on empirical rs-fMRI data?**
We are attempt…