Provide benchmark dataset and trained model for unit-test

StanfordMIMI / DDM2

[ICLR2023] Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

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Provide benchmark dataset and trained model for unit-test #33

Open joe-xing-ai opened 2 months ago

joe-xing-ai commented 2 months ago

HI,

Great work and great paper, I'm wondering if you are open for other researchers to cross-validate and then work along this direction, maybe you can provide a sample dataset with its associated trained model so that we can use that as a reference to run unit-test to just avoid any caveat. Thanks!

cheers

Joe

tiangexiang commented 2 months ago

Hi, thanks for your interests in our work! We provide denoised 4D MRI acquisitions presented in the paper here: https://figshare.com/s/6275f40c32f67e3b6083 Unfortunately, we don't plan to release the trained model, since we have refactored the code quite a lot and the trained model cannot be loaded directly in the current repo due to inconsistent names/structures. Hope you will find the denoised data useful for your tests/evaluations :)