Dear CBIG Team,
Happy new year!
I am writing on behalf of a small interest-based group focused on accelerated computing in neuroimaging. We have been deeply impressed by the Areal MS-HBM work (Kong et al., 2021) — in our view, individualized parcellation represents the future direction of the field, and your work is undoubtedly a milestone contribution.
We are interested in developing a standalone version of MS-HBM (potentially using Python/JIT/Numba/CUDA acceleration or containerized via Docker) to help lower the barrier to entry for researchers who may not have access to MATLAB licenses or the computational environment required by the current implementation.
To pursue this, we would like to request access to the C source files for the MEX functions (e.g., CBIG_ArealMSHBM_V_lambda_Product_with_theta.c and related files). Understanding the computational details would be essential for a faithful reimplementation.
We would be happy to:
Please let us know if this would be possible, or if there are any concerns we should be aware of. We fully understand if there are reasons this cannot be shared.
Thank you for your contributions to the field, and for considering our request.
Best regards,
Boletu Peng
skg...@ucl.ac.uk
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Dear Ruby,
Thank you so much for your prompt response and for sharing the source files! We truly appreciate your openness and willingness to support the community.
We will download the files from the linked issue page and begin exploring the implementation. Should we have any questions during the process, we hope it would be okay to reach out.
Wishing you and the CBIG team a wonderful new year ahead!
Best regards,
Boletu Peng