Suraj Pai

JOSS Review: Functionality Comments

5

Hi @alexzwanenburg. Thank you for updating the tutorial, this allows testing real world functionality much better. While testing out various functionality mentioned in the docs and the software report, I've...

Pretrained Model

3

When would the pretrained model be made available? P.S. Very interesting work!

### Draft Status Draft - team will hold off on page creation ### Category Segmentation / Classification / Landmarking ### Presenter Location In-person ### Key Investigators - Suraj Pai (Brigham...

Add more functionality tests:

1

Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?

Volumetric probability map based PatchSampler

5

Discussed with @cnmy-ro where he spoke about his volumetric probability map based sampling. This takes in a probability map the same shape as the volume (if provided) with sampling probabilities...

Document + support framework for fine-tuning on a different dataset

2

A potential usecase from Maastro to use the proton trained models on photon data from a different scanner.

Implemented based on: https://arxiv.org/abs/1809.04536

Add CI Tests to make sure all deps are up to date and tracked.

1

@JulianPosch and I are installing the repo and it would be nice to have an automated CI build using github actions to run a small snippet of the code and...

Given we are having more users in this repo. It would be nice to have the latest code in the `pip install project-lighter` without adding the `--pre` flag.