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Update citation (#8148)
Part of #8110 ### Types of changes <!--- Put an `x` in all the boxes that apply, and remove the not applicable items --> - [x] Non-breaking change (fix or new feature that would not break existing functionality). - [ ] Breaking change (fix or new feature that would cause existing functionality to change). - [ ] New tests added to cover the changes. - [ ] Integration tests passed locally by running `./runtests.sh -f -u --net --coverage`. - [ ] Quick tests passed locally by running `./runtests.sh --quick --unittests --disttests`. - [ ] In-line docstrings updated. - [ ] Documentation updated, tested `make html` command in the `docs/` folder. --------- Signed-off-by: YunLiu <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Diff for: .github/workflows/weekly-preview.yml

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export YEAR_WEEK=$(date +'%y%U')
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echo "Year week for tag is ${YEAR_WEEK}"
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if ! [[ $YEAR_WEEK =~ ^[0-9]{4}$ ]] ; then echo "Wrong 'year week' format. Should be 4 digits."; exit 1 ; fi
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git tag "1.4.dev${YEAR_WEEK}"
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git tag "1.5.dev${YEAR_WEEK}"
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git log -1
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git tag --list
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python setup.py sdist bdist_wheel

Diff for: CHANGELOG.md

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## [Unreleased]
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## [1.4.0] - 2024-10-15
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## [1.4.0] - 2024-10-14
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## What's Changed
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### Added
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* Implemented Conjugate Gradient Solver to generate confidence maps. (#7876)

Diff for: CITATION.cff

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abstract: "AI Toolkit for Healthcare Imaging"
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authors:
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- name: "MONAI Consortium"
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date-released: 2024-06-26
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version: "1.3.2"
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date-released: 2024-10-14
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version: "1.4.0"
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identifiers:
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- description: "This DOI represents all versions of MONAI, and will always resolve to the latest one."
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type: doi

Diff for: monai/transforms/regularization/array.py

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the mixing weight but also the size of the random rectangles used during for mixing.
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Please refer to the paper for details.
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Please note that there is a change in behavior starting from version 1.4.0. In the previous
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implementation, the transform would generate a different label each time it was called.
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To ensure determinism, the new implementation will now generate the same label for
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the same input image when using the same operation.
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The most common use case is something close to:
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.. code-block:: python

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