An app for supervised denoising of 3D images.

Install using pip:

pip install git+https://github.com/quell-devs/quell.git

See the options for training a model with the command:

quell train --help

See the options for making inferences with the command:

quell --help

Generate and preview sample data with the following commands:

quell-sample-data 
quell-preview-data

Visit the Poetry documentation for more information on how to install poetry.

Install using poetry:

git clone https://github.com/quell-devs/quell.git
cd quell
poetry install

If you use this software in your research, please cite:

📄 Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoising

Ashkan Pakzad, Robert Turnbull, Simon J. Mutch, Thomas A. Leatham, Darren Lockie, Jane Fox, Beena Kumar, Daniel Häsermann, Christopher J. Hall, Anton Maksimenko, Benedicta D. Arhatari, Yakov I. Nesterets, Amir Entezam, Seyedamir T. Taba, Patrick C. Brennan, Timur E. Gureyev, Harry M. Quiney

arXiv:2505.05812 (2025) • Read Paper

@misc{2505.05812,
  Author = {Ashkan Pakzad and Robert Turnbull and Simon J. Mutch and Thomas A. Leatham and Darren Lockie and Jane Fox and Beena Kumar and Daniel Häsermann and Christopher J. Hall and Anton Maksimenko and Benedicta D. Arhatari and Yakov I. Nesterets and Amir Entezam and Seyedamir T. Taba and Patrick C. Brennan and Timur E. Gureyev and Harry M. Quiney},
  Title = {Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoising},
  Year = {2025},
  Eprint = {arXiv:2505.05812},
}

Created using torchapp (https://github.com/rbturnbull/torchapp).