Added

• Implemented Conjugate Gradient Solver to generate confidence maps. (#7876)
• Added norm parameter to ResNet (#7752, #7805)
• Introduced alpha parameter to DiceFocalLoss for improved flexibility (#7841)
• Integrated Tailored ControlNet Implementations (#7875)
• Integrated Tailored Auto-Encoder Model (#7861)
• Integrated Tailored Diffusion U-Net Model (7867)
• Added Maisi morphological functions (#7893)
• Added support for downloading bundles from NGC private registry (#7907, #7929, #8076)
• Integrated generative refactor into the core (#7886, #7962)
• Made ViT and UNETR models compatible with TorchScript (#7937)
• Implemented post-download checks for MONAI bundles and compatibility warnings (#7938)
• Added NGC prefix argument when downloading bundles (7974)
• Added flash attention support in the attention block for improved performance (#7977)
• Enhanced MLPBlock for compatibility with VISTA-3D (#7995)
• Added support for Neighbor-Aware Calibration Loss (NACL) for calibrated models in segmentation tasks (#7819)
• Added label_smoothing parameter to DiceCELoss for enhanced model calibration (#8000)
• Add include_fc and use_combined_linear argument in the SABlock (#7996)
• Added utilities, networks, and an inferer specific to VISTA-3D (#7999, #7987, #8047, #8059, #8021)
• Integrated a new network, CellSamWrapper, for cell-based applications (#7981)
• Introduced WriteFileMapping transform to map between input image paths and their corresponding output paths (#7769)
• Added TrtHandler to accelerate models using TensorRT (#7990, #8064)
• Added box and points conversion transforms for more flexible spatial manipulation (#8053)
• Enhanced RandSimulateLowResolutiond transform with deterministic support (#8057)
• Added a contiguous argument to the Fourier class to facilitate contiguous tensor outputs (#7969)
• Allowed ApplyTransformToPointsd to receive a sequence of reference keys for more versatile point manipulation (#8063)
• Made MetaTensor an optional print in DataStats and DataStatsd for more concise logging (#7814)

misc.

• Refactored Dataset to utilize Compose for handling transforms. (#7784)
• Combined map_classes_to_indices and generate_label_classes_crop_centers into a unified function (#7712)
• Introduced metadata schema directly into the codebase for improved structure and validation (#7409)
• Renamed optional_packages_version to required_packages_version for clearer package dependency management. (#7253)
• Replaced pkg_resources with the more modern packaging module for package handling (#7953)
• Refactored MAISI-related networks to align with the new generative components (#7989, #7993, #8005)
• Added a badge displaying monthly download statistics to enhance project visibility (#7891)

Fixed

transforms

• Ensured deterministic behavior in MixUp, CutMix, and CutOut transforms (#7813)
• Applied a minor correction to AsDiscrete transform (#7984)
• Fixed handling of integer weightmaps in RandomWeightedCrop (#8097)
• Resolved data type bug in ScaleIntensityRangePercentile (#8109)

data

• Fixed negative strides issue in the NrrdReader (#7809)
• Addressed wsireader issue with retrieving MPP (7921)
• Ensured location is returned as a tuple in wsireader (#8007)
• Corrected interpretation of space directions in nrrd reader (#8091)

metrics and losses

• Improved memory management for NACLLoss (#8020)
• Fixed reduction logic in GeneralizedDiceScore (#7970)

networks

• Resolved issue with loading pre-trained weights in ResNet (#7924)
• Fixed error where torch.device object had no attribute gpu_id during TensorRT export (#8019)
• Corrected function for loading older weights in DiffusionModelUNet (#8031)
• Switched to torch_tensorrt.Device instead of torch.device during TensorRT compilation (#8051)

engines and handlers

• Attempted to resolve the "experiment already exists" issue in MLFlowHandler (#7916)
• Refactored the model export process for conversion and saving (#7934)

misc.

• Adjusted requirements to exclude version 2.0 (#7859)
• Updated deprecated scipy.ndimage namespaces in optional imports (#7847, #7897)
• Resolved load_module() deprecation in Python 3.12 (#7881)
• Fixed Ruff type check issues (#7885)
• Cleaned disk space in the conda test pipeline (#7902)
• Replaced deprecated pkgutil.find_loader usage (#7906)
• Enhanced docstrings in various modules (#7913, #8055)
• Test cases fixing (#7905, #7794, #7808)
• Fix mypy issue introduced in 1.11.0 (#7941)
• Cleaned up warnings during test collection (#7914)
• Fix incompatible types in assignment issue (#7950)
• Fix outdated link in the docs (#7971)
• Addressed CI issues (#7983, #8013)
• Fix module can not import correctly issue (#8015)
• Fix AttributeError when using torch.min and max (#8041)
• Ensure synchronization by adding cuda.synchronize (#8058)
• Ignore warning from nptyping as workaround (#8062)
• Suppress deprecated warning when importing monai (#8067)
• Fix link in test bundle under MONAI-extra-test-data (#8092)

Changed

• Base Docker image upgraded to nvcr.io/nvidia/pytorch:24.08-py3 from nvcr.io/nvidia/pytorch:23.08-py3
• Change blossom-ci to ACL security format (#7843)
• Move PyType test to weekly test (#8025)
• Adjusted to meet Numpy 2.0 requirements (#7857)

Deprecated

• Dropped support for Python 3.8 (#7909)
• Remove deprecated arguments and class for v1.4 (#8079)

Removed

• Remove use of deprecated python 3.12 strtobool (#7900)
• Removed the pipeline for publishing to testpypi (#8086)
• Cleaning up some very old and now obsolete infrastructure (#8113, #8118, #8121)

New Contributors

• @alkamid made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7847
• @kephale made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7841
• @guopengf made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7875
• @dcfidalgo made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7984
• @K-Rilla made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7953
• @Han123su made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7934
• @mylapallilavanyaa made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7891
• @staydelight made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7769
• @ken-ni made their first contribution in https://github.com/Project-MONAI/MONAI/pull/8055
• @borisfom made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7990
• @25benjaminli made their first contribution in https://github.com/Project-MONAI/MONAI/pull/8057
• @bwittmann made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7969
• @slicepaste made their first contribution in https://github.com/Project-MONAI/MONAI/pull/7814
• @che85 made their first contribution in https://github.com/Project-MONAI/MONAI/pull/8091

Full Changelog: https://github.com/Project-MONAI/MONAI/compare/1.3.2...1.4.0