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Create Variable Density Disk Poisson Sub-Sampling #185

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georgeyiasemis opened this issue Apr 4, 2022 · 1 comment · Fixed by #216
Closed
1 task

Create Variable Density Disk Poisson Sub-Sampling #185

georgeyiasemis opened this issue Apr 4, 2022 · 1 comment · Fixed by #216
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enhancement Improvement of existing feature
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@georgeyiasemis
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Is your feature request related to a problem? Please describe.
A Variable Density Disk Poisson Sub-Sampling is missing.

Describe the solution you'd like
Implement:

  • Variable Density Disk Poisson Sub-Sampling
@georgeyiasemis georgeyiasemis added the enhancement Improvement of existing feature label Apr 4, 2022
@georgeyiasemis georgeyiasemis self-assigned this Apr 4, 2022
@georgeyiasemis georgeyiasemis added this to the v1.1 milestone Apr 6, 2022
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github-actions bot commented Jun 6, 2022

This issue is stale because it has been open 60 days with no activity. Remove stale label or comment or this will be closed in 15 days

@github-actions github-actions bot added the Stale label Jun 6, 2022
georgeyiasemis added a commit that referenced this issue Jul 22, 2022
…loses #185, #213)

Adding new sampling patterbs:

* Variable density Poisson masking function (cython implementation)
    * setup.py changes
* Fastmri's Magic masking function

Bug fix/update:
* `torch.where` output needed to be made contiguous to be inputted to fft, due to new torch version
georgeyiasemis added a commit that referenced this issue Jul 31, 2022
…loses #185, #213)

Adding new sampling patterbs:

* Variable density Poisson masking function (cython implementation)
    * setup.py changes
* Fastmri's Magic masking function

Bug fix/update:
* `torch.where` output needed to be made contiguous to be inputted to fft, due to new torch version
georgeyiasemis added a commit that referenced this issue Jul 31, 2022
…loses #185, #213)

Adding new sampling patterbs:

* Variable density Poisson masking function (cython implementation)
    * setup.py changes
* Fastmri's Magic masking function

Bug fix/update:
* `torch.where` output needed to be made contiguous to be inputted to fft, due to new torch version
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