Index

A

apply_super_resolution_model_to_image() (in module antspynet.utilities) arterial_lesion_segmentation() (in module antspynet.utilities)

AttentionLayer2D (class in antspynet.utilities) AttentionLayer3D (class in antspynet.utilities)

B

binary_dice_coefficient() (in module antspynet.utilities)

brain_age() (in module antspynet.utilities) brain_extraction() (in module antspynet.utilities)

C

categorical_focal_loss() (in module antspynet.utilities) claustrum_segmentation() (in module antspynet.utilities) cortical_thickness() (in module antspynet.utilities) create_alexnet_model_2d() (in module antspynet.architectures) create_alexnet_model_3d() (in module antspynet.architectures) create_autoencoder_model() (in module antspynet.architectures) create_convolutional_autoencoder_model_2d() (in module antspynet.architectures) create_convolutional_autoencoder_model_3d() (in module antspynet.architectures) create_deep_back_projection_network_model_2d() (in module antspynet.architectures) create_deep_back_projection_network_model_3d() (in module antspynet.architectures) create_deep_denoise_super_resolution_model_2d() (in module antspynet.architectures) create_deep_denoise_super_resolution_model_3d() (in module antspynet.architectures) create_denoising_auto_encoder_super_resolution_model_2d() (in module antspynet.architectures) create_denoising_auto_encoder_super_resolution_model_3d() (in module antspynet.architectures) create_densenet_model_2d() (in module antspynet.architectures) create_densenet_model_3d() (in module antspynet.architectures) create_denseunet_model_2d() (in module antspynet.architectures) create_denseunet_model_3d() (in module antspynet.architectures) create_expanded_super_resolution_model_2d() (in module antspynet.architectures) create_expanded_super_resolution_model_3d() (in module antspynet.architectures) create_hippmapp3r_unet_model_3d() (in module antspynet.architectures)

create_hypothalamus_unet_model_3d() (in module antspynet) create_image_super_resolution_model_2d() (in module antspynet.architectures) create_image_super_resolution_model_3d() (in module antspynet.architectures) create_nobrainer_unet_model_3d() (in module antspynet.architectures) create_resnet_model_2d() (in module antspynet.architectures) create_resnet_model_3d() (in module antspynet.architectures) create_resnet_super_resolution_model_2d() (in module antspynet.architectures) create_resnet_super_resolution_model_3d() (in module antspynet.architectures) create_resunet_model_2d() (in module antspynet.architectures) create_resunet_model_3d() (in module antspynet.architectures) create_simple_classification_with_spatial_transformer_network_model_2d() (in module antspynet.architectures) create_simple_classification_with_spatial_transformer_network_model_3d() (in module antspynet.architectures) create_simple_fully_convolutional_network_model_3d() (in module antspynet.architectures) create_sysu_media_unet_model_2d() (in module antspynet.architectures) create_unet_model_2d() (in module antspynet.architectures) create_unet_model_3d() (in module antspynet.architectures) create_vgg_model_2d() (in module antspynet.architectures) create_vgg_model_3d() (in module antspynet.architectures) create_wide_resnet_model_2d() (in module antspynet.architectures) create_wide_resnet_model_3d() (in module antspynet.architectures) crop_image_center() (in module antspynet.utilities) CycleGanModel (class in antspynet.architectures)

D

data_augmentation() (in module antspynet.utilities) decode_unet() (in module antspynet.utilities) deep_atropos() (in module antspynet.utilities) deep_flash() (in module antspynet.utilities)

DeepConvolutionalGanModel (class in antspynet.architectures) DeepEmbeddedClustering (class in antspynet.utilities) DeepEmbeddedClusteringModel (class in antspynet.utilities) desikan_killiany_tourville_labeling() (in module antspynet.utilities)

E

el_bicho() (in module antspynet.utilities)

encode_unet() (in module antspynet.utilities) extract_image_patches() (in module antspynet.utilities)

G

get_antsxnet_data() (in module antspynet.utilities) get_mixture_density_loss_function() (in module antspynet.utilities)

get_pretrained_network() (in module antspynet.utilities) gmsd() (in module antspynet.utilities)

H

hippmapp3r_segmentation() (in module antspynet.utilities)

histogram_warp_image_intensities() (in module antspynet.utilities) hypothalamus_segmentation() (in module antspynet.utilities)

I

ImprovedWassersteinGanModel (class in antspynet.architectures)

InstanceNormalization (class in antspynet.utilities)

L

LogSoftmax (class in antspynet.utilities)

longitudinal_cortical_thickness() (in module antspynet.utilities) lung_extraction() (in module antspynet.utilities)

M

mae() (in module antspynet.utilities) maximum_mean_discrepancy() (in module antspynet) MixtureDensityLayer (class in antspynet.utilities)

mri_super_resolution() (in module antspynet.utilities) mse() (in module antspynet.utilities) multilabel_dice_coefficient() (in module antspynet.utilities) multilabel_surface_loss() (in module antspynet.utilities)

N

neural_style_transfer() (in module antspynet.utilities)

P

pad_image_by_factor() (in module antspynet.utilities) pad_or_crop_image_to_size() (in module antspynet.utilities) peak_signal_to_noise_ratio() (in module antspynet.utilities)

pearson_correlation_coefficient() (in module antspynet.utilities) preprocess_brain_image() (in module antspynet.utilities) psnr() (in module antspynet.utilities)

R

randomly_transform_image_data() (in module antspynet.utilities) reconstruct_image_from_patches() (in module antspynet.utilities)

regression_match_image() (in module antspynet.utilities) ResampleTensorLayer2D (class in antspynet.utilities) ResampleTensorLayer3D (class in antspynet.utilities)

S

Scale (class in antspynet.utilities) simulate_bias_field() (in module antspynet.utilities) SpatialTransformer2D (class in antspynet.utilities)

SpatialTransformer3D (class in antspynet.utilities) ssim() (in module antspynet.utilities) SuperResolutionGanModel (class in antspynet.architectures) sysu_media_wmh_segmentation() (in module antspynet.utilities)

T

tid_neural_image_assessment() (in module antspynet.utilities)

V

VanillaGanModel (class in antspynet.architectures)

W

WassersteinGanModel (class in antspynet.architectures)

weighted_categorical_crossentropy() (in module antspynet.utilities)