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  "Package": "rpyANTs",
  "Title": "An Alternative Advanced Normalization Tools ('ANTs')",
  "Version": "0.0.6.1",
  "Authors@R": "person(\"Zhengjia\", \"Wang\", email = \"dipterix.wang@gmail.com\",\nrole = c(\"aut\", \"cre\"))",
  "Description": "Provides portable access from 'R' to biomedical image\nprocessing toolbox 'ANTs' by Avants et al. (2009)\n<doi:10.54294/uvnhin> via seamless integration with the\n'Python' implementation 'ANTsPy'. Allows biomedical images to\nbe processed in 'Python' and analyzed in 'R', and vice versa\nvia shared memory. See 'citation(\"rpyANTs\")' for more reference\ninformation.",
  "License": "Apache License 2.0",
  "Language": "en-US",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
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  "URL": "http://dipterix.org/rpyANTs/",
  "BugReports": "https://github.com/dipterix/rpyANTs/issues",
  "Copyright": "For the rpyANTs package - Zhengjia Wang; For ANTs -\nConsortiumOfANTS; For ANTsPy - ANTs Contributors.",
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  "Repository": "https://dipterix.r-universe.dev",
  "Date/Publication": "2026-06-06 02:30:16 UTC",
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  "Author": "Zhengjia Wang [aut, cre]",
  "Maintainer": "Zhengjia Wang <dipterix.wang@gmail.com>",
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    "ieeg",
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    "neuroimaging",
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    "ants",
    "ants_apply_transforms",
    "ants_apply_transforms_to_points",
    "ants_available",
    "ants_motion_correction",
    "ants_plot",
    "ants_plot_grid",
    "ants_registration",
    "ants_resample_image",
    "antspynet_brain_extraction",
    "antspynet_deep_atropos",
    "antspynet_desikan_killiany_tourville_labeling",
    "antspynet_preprocess_brain_image",
    "as_ANTsImage",
    "as_ANTsTransform",
    "brain_extraction",
    "brain_mask",
    "correct_intensity",
    "ensure_template",
    "extract_coregistration",
    "halpern_apply_transform_template_mri",
    "halpern_register_ct_mri",
    "halpern_register_template_mri",
    "import",
    "install_ants",
    "is_affine3D",
    "load_ants",
    "load_antspynet",
    "np_array",
    "py",
    "py_bool",
    "py_builtin",
    "py_call",
    "py_del_attr",
    "py_del_item",
    "py_dict",
    "py_eval",
    "py_get_attr",
    "py_get_item",
    "py_help",
    "py_len",
    "py_list",
    "py_none",
    "py_run_string",
    "py_set_attr",
    "py_set_item",
    "py_slice",
    "py_str",
    "py_to_r",
    "py_to_r_wrapper",
    "r_to_py",
    "repl_python",
    "run_script",
    "t1_preprocess",
    "tuple"
  ],
  "_help": [
    {
      "page": "ants",
      "title": "Get 'ANTsPy' module",
      "topics": [
        "ants",
        "load_ants"
      ]
    },
    {
      "page": "ants_apply_transforms",
      "title": "Apply a transform list to map an image from one domain to another",
      "topics": [
        "ants_apply_transforms"
      ]
    },
    {
      "page": "ants_apply_transforms_to_points",
      "title": "Apply a transform list to map points from one domain to another",
      "topics": [
        "ants_apply_transforms_to_points"
      ]
    },
    {
      "page": "ants_available",
      "title": "Check if 'ANTs' is available",
      "topics": [
        "ants_available"
      ]
    },
    {
      "page": "ants_motion_correction",
      "title": "Motion correction",
      "topics": [
        "ants_motion_correction"
      ]
    },
    {
      "page": "ants_plot",
      "title": "Plot single ''ANTsImage''",
      "topics": [
        "ants_plot"
      ]
    },
    {
      "page": "ants_plot_grid",
      "title": "Plot multiple ''ANTsImage''",
      "topics": [
        "ants_plot_grid"
      ]
    },
    {
      "page": "ants_registration",
      "title": "Register two images using 'ANTs'",
      "topics": [
        "ants_registration"
      ]
    },
    {
      "page": "ants_resample_image",
      "title": "Resample image",
      "topics": [
        "ants_resample_image"
      ]
    },
    {
      "page": "antspynet",
      "title": "Get ''ANTsPyNet'' module",
      "topics": [
        "antspynet",
        "load_antspynet"
      ]
    },
    {
      "page": "antspynet_preprocess_brain_image",
      "title": "Process brain image prior to segmentation",
      "topics": [
        "antspynet_preprocess_brain_image"
      ]
    },
    {
      "page": "antspynet_segmentation",
      "title": "Imaging segmentation using 'antspynet'",
      "topics": [
        "antspynet_deep_atropos",
        "antspynet_desikan_killiany_tourville_labeling",
        "antspynet_segmentation"
      ]
    },
    {
      "page": "as_ANTsImage",
      "title": "Load data as ''ANTsImage'' class",
      "topics": [
        "as_ANTsImage"
      ]
    },
    {
      "page": "as_ANTsTransform",
      "title": "Convert to ''ANTsTransform''",
      "topics": [
        "as_ANTsTransform",
        "as_ANTsTransform.ants.core.ants_image.ANTsImage",
        "as_ANTsTransform.ants.core.ants_transform.ANTsTransform",
        "as_ANTsTransform.character",
        "as_ANTsTransform.default",
        "as_ANTsTransform.numpy.ndarray"
      ]
    },
    {
      "page": "brain_extraction",
      "title": "Extract brain and strip skull",
      "topics": [
        "antspynet_brain_extraction",
        "brain_extraction",
        "brain_mask"
      ]
    },
    {
      "page": "correct_intensity",
      "title": "Truncate and correct 'MRI' intensity",
      "topics": [
        "correct_intensity"
      ]
    },
    {
      "page": "ensure_template",
      "title": "Ensure the template directory is downloaded",
      "topics": [
        "ensure_template"
      ]
    },
    {
      "page": "extract_coregistration",
      "title": "Extract transform in right-anterior-superior coordinate system",
      "topics": [
        "extract_coregistration"
      ]
    },
    {
      "page": "halpern_preprocess",
      "title": "'ANTs' functions for 'Halpern' lab",
      "topics": [
        "halpern_apply_transform_template_mri",
        "halpern_preprocess",
        "halpern_register_ct_mri",
        "halpern_register_template_mri"
      ]
    },
    {
      "page": "install_ants",
      "title": "Install 'ANTs' via 'ANTsPy'",
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        "install_ants"
      ]
    },
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      "topics": [
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        "is_affine3D.ants.core.ants_transform.ANTsTransform",
        "is_affine3D.default"
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      "topics": [
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      ]
    },
    {
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      "title": "Process 'T1' image",
      "topics": [
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      ]
    }
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