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rpyANTs 0.0.4

• Added get_xform and set_xform to get and set qform in ANTsImage
• Removed dependence nibabel, which might conflict with ANTsPy on certain platforms
• Using the full path to ANTsImage class instead of the shortcut one from Python to avoid issues where ANTsImage is not exported (ANTsPyx==0.5.3)
• Using multiple imaging files and faster normalization parameters when normalizing the native images to template
• Fixed get_lib_fn not available under ANTsPyx>=0.5.3
• Changed default Python version
• Fixed bugs when mapping native ROI to template
• Supported YAEL processing pipeline and use ANTsImage as inputs
• Added mapping images from native to template
• Fixed a typo in folder naming
• Method get_native_mapping gets correct absolute paths
• Allowed YAEL class to add default images through constructor
• Added intensity correction
• Exported ensure_template and added extra information
• Set time-out to ensure downloading the correct templates
• Added YAEL class to support pipelines mentioned in the paper for image registration and normalization

rpyANTs 0.0.3

• Added registration code that reproduces Halpern lab results
• Added t1_preprocess to align MRI to template using non-linear registration
• No more injection to Python on Windows as the memory pointer crash has been fixed by upstream developers
• No active binding to antspynet as this Python package might fail to load on some systems

rpyANTs 0.0.2

• Added antspynet to the installation
• Added ants_apply_transforms and ants_apply_transforms_to_points to apply registration transforms
• Added ants_resample_image to resample images
• Added antspynet_brain_extraction to extract brain and strip skulls
• Added antspynet_deep_atropos and antspynet_desikan_killiany_tourville_labeling to segment brain images

rpyANTs 0.0.1

• Added a NEWS.md file to track changes to the package.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.