FabianWagner

Results 13 comments of FabianWagner

Hi @charliebudd, I implemented a fully differentiable bilateral filter layer (with respect to its input as well as to its spatial/range sigmas) based on an analytical derivative of the filter...

Great! Let me know if/how I can help you with the PR. Maybe one other comment here: At the moment the bilateral filter layer does not support channel dimensions >1....

Yes, I guess you could handle two spatial dimensions the same way as it is done in the current MONAI bilateral filter implementation. Thank you so much, let me know...

Hi @charliebudd, Did you already have progress on the implementation of the bilateral filter layer? Please let me know if there are problems or you need help!

Sure, no worries - just let me know when you need help!

To add here - Our arXiv paper is published open-access at Medical Physics (https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.15718). In principle the bilateral filter layer should be eligible to be added to the Project-MONAI/research-contributions, right?...

![error_torch_radon](https://user-images.githubusercontent.com/48037735/184092774-325bf5a5-7cda-403f-b8a4-9cf45567abd0.png)

Hi @matteo-ronchetti, Do you already have any updates on version 2? Thank you so much for your great repo! Best Fabian

Hi @charliebudd, any updates on this? Best Fabi

Thanks for your invitation, I would be happy to join! For development purpose I implemented a naive forward pass in PyTorch and tried to make the filter parameters trainable via...