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50 changes: 49 additions & 1 deletion CHANGELOG.md
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Expand Up @@ -6,6 +6,53 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.

## [Unreleased]

## [0.8.0] - 2021-11-25
### Added
* Overview of [new features in v0.8](docs/source/whatsnew_0_8.md)
* Network modules for differentiable neural network topology search (DiNTS)
* Multiple Instance Learning transforms and models for digital pathology WSI analysis
* Vision transformers for self-supervised representation learning
* Contrastive loss for self-supervised learning
* Finalized major improvements of 200+ components in `monai.transforms` to support input and backend in PyTorch and NumPy
* Initial registration module benchmarking with `GlobalMutualInformationLoss` as an example
* `monai.transforms` documentation with visual examples and the utility functions
* Event handler for `MLfLow` integration
* Enhanced data visualization functions including `blend_images` and `matshow3d`
* `RandGridDistortion` and `SmoothField` in `monai.transforms`
* Support of randomized shuffle buffer in iterable datasets
* Performance review and enhancements for data type casting
* Cumulative averaging API with distributed environment support
* Module utility functions including `require_pkg` and `pytorch_after`
* Various usability enhancements such as `allow_smaller` when sampling ROI and `wrap_sequence` when casting object types
* `tifffile` support in `WSIReader`
* Regression tests for the fast training workflows
* Various tutorials and demos including educational contents at [MONAI Bootcamp 2021](https://github.com/Project-MONAI/MONAIBootcamp2021)
### Changed
* Base Docker image upgraded to `nvcr.io/nvidia/pytorch:21.10-py3` from `nvcr.io/nvidia/pytorch:21.08-py3`
* Decoupled `TraceKeys` and `TraceableTransform` APIs from `InvertibleTransform`
* Skipping affine-based resampling when `resample=False` in `NiftiSaver`
* Deprecated `threshold_values: bool` and `num_classes: int` in `AsDiscrete`
* Enhanced `apply_filter` for spatially 1D, 2D and 3D inputs with non-separable kernels
* Logging with `logging` in downloading and model archives in `monai.apps`
* API documentation site now defaults to `stable` instead of `latest`
* `skip-magic-trailing-comma` in coding style enforcements
* Pre-merge CI pipelines now include unit tests with Nvidia Ampere architecture
### Removed
* Support for PyTorch 1.5
* The deprecated `DynUnetV1` and the related network blocks
* GitHub self-hosted CI/CD pipelines for package releases
### Fixed
* Support of path-like objects as file path inputs in most modules
* Issue of `decollate_batch` for dictionary of empty lists
* Typos in documentation and code examples in various modules
* Issue of no available keys when `allow_missing_keys=True` for the `MapTransform`
* Issue of redundant computation when normalization factors are 0.0 and 1.0 in `ScaleIntensity`
* Incorrect reports of registered readers in `ImageReader`
* Wrong numbering of iterations in `StatsHandler`
* Naming conflicts in network modules and aliases
* Incorrect output shape when `reduction="none"` in `FocalLoss`
* Various usability issues reported by users

## [0.7.0] - 2021-09-24
### Added
* Overview of [new features in v0.7](docs/source/whatsnew_0_7.md)
Expand Down Expand Up @@ -387,7 +434,8 @@ the postprocessing steps should be used before calling the metrics methods

[highlights]: https://github.com/Project-MONAI/MONAI/blob/master/docs/source/highlights.md

[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/0.7.0...HEAD
[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/0.8.0...HEAD
[0.8.0]: https://github.com/Project-MONAI/MONAI/compare/0.7.0...0.8.0
[0.7.0]: https://github.com/Project-MONAI/MONAI/compare/0.6.0...0.7.0
[0.6.0]: https://github.com/Project-MONAI/MONAI/compare/0.5.3...0.6.0
[0.5.3]: https://github.com/Project-MONAI/MONAI/compare/0.5.0...0.5.3
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