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.

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