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Bump monai from 1.5.2 to 1.6.0 - #604

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Bump monai from 1.5.2 to 1.6.0#604
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dependabot/uv/monai-1.6.0

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Bumps monai from 1.5.2 to 1.6.0.

Release notes

Sourced from monai's releases.

1.6.0

What's Changed

... (truncated)

Changelog

Sourced from monai's changelog.

[1.6.0] - 2026-06-12

What's Changed

Added

  • Add MAPEMetric for regression evaluation (#8686)
  • Add CalibrationErrorMetric and CalibrationError handler (#8707)
  • Add AUC-Margin Loss for AUROC optimization (#8719)
  • Add MCCLoss (Matthews Correlation Coefficient loss) (#8785)
  • Add EmbeddingCollapseMetric for detecting representational collapse (#8815)
  • Add 3D support and confusion matrix output to PanopticQualityMetric (#8684)
  • Add GradientAccumulation utility for SupervisedTrainer (#8763)
  • Add nested dot-notation access to ConfigParser (#8858)
  • Add allow_pickle argument to relevant loaders (#8875)
  • Add configurable GD-enhancing tumor label in ConvertToMultiChannelBasedOnBratsClasses (#8779)
  • Enable global coordinates in spatial crop transforms (#8794)
  • Generalize TestTimeAugmentation to non-spatial predictions (#8715)
  • Add parameter to DiceMetric and DiceHelper classes (#8774)
  • Support additional dtypes in pad_nd (#8672)

Fixed

  • Fix Invertd transform (#8651)
  • Fix PerceptualLoss errors out after hitting maximum number of downloads (#8652)
  • Prevent implicit conversion of MetaTensor to numpy array (#8654)
  • Fix weights in alpha for FocalLoss (#8665)
  • Fix align_corners mismatch in AffineTransform (#8690)
  • Fix multi-axis shear transform to compose individual shear matrices (#8778)
  • Fix incorrect truncated parameter in make_gaussian_kernel causing corrupted LocalNormalizedCrossCorrelationLoss (#8781, #8783)
  • Fix batch size broadcasting bug in GeneralizedWassersteinDiceLoss (#8744)
  • Fix AutoencoderKLMaisi forcing CUDA transfer on CPU inputs (#8736)
  • Fix TrainableBilateralFilter 3D input validation (#8729)
  • Fix GPU memory leak by checking both image and label tensors for CUDA device (#8708)
  • Fix compute_shape_offset non-tuple indexing for PyTorch >=2.9 (#8776, #8812)
  • Fix memory leak in optional_import traceback handling (#8782)
  • Fix nested Compose map_items in forward and inverse paths (#8787)
  • Fix JukeboxLoss.forward swapped input_amplitude and target_amplitude (#8821)
  • Fix EnsureChannelFirst to pass meta_data when track_meta is False (#8835)
  • Fix RandSimulateLowResolution to not alter track_meta state (#8837)
  • Fix incomplete activation validation in HausdorffDTLoss (#8841)
  • Fix CrossAttentionBlock instantiated unconditionally (#8848)
  • Fix GlobalMutualInformationLoss bin_centers registered as buffer (#8869)
  • Fix SoftclDiceLoss and SoftDiceclDiceLoss with DiceLoss-compatible API (#8703)
  • Fix execution order of activation and masking in MaskedDiceLoss (#8704)
  • Fix load_old_state_dict key mapping in AutoencoderKL (#8786)
  • Fix missing channel_wise parameter in RandScaleIntensityFixedMean (#8741)
  • Fix NibabelReader eager C-order copy (#8825)
  • Fix nnUNetV2Runner to support MIG UUID and respect CUDA_VISIBLE_DEVICES (#8716)
  • Fix Auto3DSeg device handling and safe no-grad cleanup (#8801, #8803)
  • Replace deprecated cuda.cudart with cuda.bindings.runtime (#8790)
  • Replace Tensor | None with Optional[Tensor] for TorchScript compatibility (#8879)
  • Fix for GHSA-rghg-q7wp-9767 (#8885)

... (truncated)

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Bumps [monai](https://github.com/Project-MONAI/MONAI) from 1.5.2 to 1.6.0.
- [Release notes](https://github.com/Project-MONAI/MONAI/releases)
- [Changelog](https://github.com/Project-MONAI/MONAI/blob/dev/CHANGELOG.md)
- [Commits](Project-MONAI/MONAI@1.5.2...1.6.0)

---
updated-dependencies:
- dependency-name: monai
  dependency-version: 1.6.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Jul 31, 2026
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codecov Bot commented Jul 31, 2026

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 76.27%. Comparing base (b43cbed) to head (e67bff6).

Additional details and impacted files
@@            Coverage Diff             @@
##             main     #604      +/-   ##
==========================================
- Coverage   79.71%   76.27%   -3.44%     
==========================================
  Files         166      166              
  Lines       10573    10573              
==========================================
- Hits         8428     8065     -363     
- Misses       2145     2508     +363     

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