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>

.github/workflows/weekly-preview.yml

@@ -66,7 +66,7 @@ jobs:
         export YEAR_WEEK=$(date +'%y%U')
         echo "Year week for tag is ${YEAR_WEEK}"
         if ! [[ $YEAR_WEEK =~ ^[0-9]{4}$ ]] ; then echo "Wrong 'year week' format.  Should be 4 digits."; exit 1 ; fi
-        git tag "1.4.dev${YEAR_WEEK}"
+        git tag "1.5.dev${YEAR_WEEK}"
         git log -1
         git tag --list
         python setup.py sdist bdist_wheel

CHANGELOG.md

@@ -5,7 +5,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [Unreleased]
 
-## [1.4.0] - 2024-10-15
+## [1.4.0] - 2024-10-14
 ## What's Changed
 ### Added
 * Implemented Conjugate Gradient Solver to generate confidence maps. (#7876)

CITATION.cff

@@ -6,8 +6,8 @@ title: "MONAI: Medical Open Network for AI"
 abstract: "AI Toolkit for Healthcare Imaging"
 authors:
   - name: "MONAI Consortium"
-date-released: 2024-06-26
-version: "1.3.2"
+date-released: 2024-10-14
+version: "1.4.0"
 identifiers:
   - description: "This DOI represents all versions of MONAI, and will always resolve to the latest one."
     type: doi

monai/transforms/regularization/array.py

@@ -112,6 +112,11 @@ class CutMix(Mixer):
         the mixing weight but also the size of the random rectangles used during for mixing.
         Please refer to the paper for details.
 
+        Please note that there is a change in behavior starting from version 1.4.0. In the previous
+        implementation, the transform would generate a different label each time it was called.
+        To ensure determinism, the new implementation will now generate the same label for
+        the same input image when using the same operation.
+
         The most common use case is something close to:
 
     .. code-block:: python