CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it using these metadata."
title: "deepali: Image, point set, and surface registration in PyTorch"
abstract: An open source research library for image, point set, and surface registration in PyTorch,
  which is developed and maintained by the HeartFlow-Imperial College London research lab at the Biomedical Image Analysis Group.


  Deepali is a Hindu/Sanskrit Indian given name, which means "joy" as in the gratification one may feel
  working with code built on a modern tensor library with support for automatic differentiation, and
  "chain of lamps" alluding to the application of the chain rule by torch.autograd, the concatenation
  of spatial coordinate transformations, and furthermore the (sequential) composition of PyTorch modules.
  In addition, the English words "deep" and "ali(-gnment)" partially contained in this name should highlight
  that this project is not only suitable for traditional non-learning based registration, but in particular
  facilitates deep learning based approaches to image alignment.
type: software
authors:
  - given-names: Andreas
    family-names: Schuh
    affiliation: HeartFlow U.K. Ltd.
    orcid: https://orcid.org/0000-0002-8214-116X
  - given-names: Huaqi
    family-names: Qiu
    affiliation: Imperial College London
  - name: HeartFlow Research
doi: 10.5281/zenodo.8170161
url: https://biomedia.github.io/deepali/
repository-code: https://github.com/BioMedIA/deepali
keywords:
  - medical-imaging
  - image-registration
  - spatial-transformer-networks
license: Apache-2.0