Comments (2)
Hi, our model is designed to be dataset-specific, so you need to train one model for one dataset. There is no pre-trained model that can be used for multiple different datasets.
To understand why you failed to denoise on your dataset, can you please double-check that your dataset is indeed in the same format (e.g 4 dimensions) as the datasets in our examples?
Thanks!
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OK, I will have a try.
Thank you a lot!
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Related Issues (20)
- Experimenting on DCE-MRI simulated phantom with added noise HOT 1
- Need for Stage 1 Model in Stage 3 training HOT 1
- Clarifications on dimensions HOT 7
- Environment conflicts with GPU HOT 3
- Configurations for executing code with the PPMI dataset HOT 2
- Evaluation HOT 5
- Question regarding dataset HOT 2
- Question about the second stage HOT 1
- Question about training data valid_mask[10,160]
- sampling process HOT 5
- Question about data['condition'] HOT 2
- Question about matched state? HOT 1
- Question about the diffusion training process. HOT 1
- voxel size change in denoised image HOT 1
- Questions about the third stage HOT 1
- Question about the beta schedule HOT 4
- Questions about datasets HOT 4
- Provide benchmark dataset and trained model for unit-test HOT 1
- Training Dataset question HOT 1
- Reproducing the FA map
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