An Alternative Advanced Normalization Tools ('ANTs')


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Documentation for package ‘rpyANTs’ version 0.0.3

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ants Get 'ANTsPy' module
antspynet Get "ANTsPyNet" module
antspynet_brain_extraction Extract brain and strip skull
antspynet_deep_atropos Imaging segmentation using 'antspynet'
antspynet_desikan_killiany_tourville_labeling Imaging segmentation using 'antspynet'
antspynet_preprocess_brain_image Process brain image prior to segmentation
antspynet_segmentation Imaging segmentation using 'antspynet'
ants_apply_transforms Apply a transform list to map an image from one domain to another
ants_apply_transforms_to_points Apply a transform list to map points from one domain to another
ants_available Check if 'ANTs' is available
ants_motion_correction Motion correction
ants_plot Plot single "ANTsImage"
ants_plot_grid Plot multiple "ANTsImage"
ants_registration Register two images using 'ANTs'
ants_resample_image Resample image
as_ANTsImage Load data as "ANTsImage" class
as_ANTsTransform Convert to "ANTsTransform"
as_ANTsTransform.ants.core.ants_image.ANTsImage Convert to "ANTsTransform"
as_ANTsTransform.ants.core.ants_transform.ANTsTransform Convert to "ANTsTransform"
as_ANTsTransform.character Convert to "ANTsTransform"
as_ANTsTransform.default Convert to "ANTsTransform"
as_ANTsTransform.numpy.ndarray Convert to "ANTsTransform"
halpern_apply_transform_template_mri 'ANTs' functions for 'Halpern' lab
halpern_preprocess 'ANTs' functions for 'Halpern' lab
halpern_register_ct_mri 'ANTs' functions for 'Halpern' lab
halpern_register_template_mri 'ANTs' functions for 'Halpern' lab
install_ants Install 'ANTs' via 'ANTsPy'
is_affine3D Check if an object is a 3D 'affine' transform matrix
is_affine3D.ants.core.ants_transform.ANTsTransform Check if an object is a 3D 'affine' transform matrix
is_affine3D.default Check if an object is a 3D 'affine' transform matrix
load_ants Get 'ANTsPy' module
load_antspynet Get "ANTsPyNet" module
py Get 'Python' main process environment
py_builtin Get 'Python' built-in object
py_list List in 'Python'
py_slice Slice index in 'Python' arrays
t1_preprocess Process 'T1' image