def _applytfms(args):
    """
    Applies ANTs' antsApplyTransforms to the input image.
    All inputs are zipped in one tuple to make it digestible by
    multiprocessing's map
    """
    import nibabel as nb
    from nipype.utils.filemanip import fname_presuffix
    from ..niworkflows.interfaces.fixes import FixHeaderApplyTransforms as ApplyTransforms
    in_file, in_xform, ifargs, index, newpath = args
    out_file = fname_presuffix(in_file, suffix='_xform-%05d' % index,
        newpath=newpath, use_ext=True)
    copy_dtype = ifargs.pop('copy_dtype', False)
    xfm = ApplyTransforms(input_image=in_file, transforms=in_xform,
        output_image=out_file, **ifargs)
    xfm.terminal_output = 'allatonce'
    xfm.resource_monitor = False
    runtime = xfm.run().runtime
    if copy_dtype:
        nii = nb.load(out_file)
        in_dtype = nb.load(in_file).get_data_dtype()
        if in_dtype != nii.get_data_dtype():
            nii.set_data_dtype(in_dtype)
            nii.to_filename(out_file)
    return out_file, runtime.cmdline
