Index

_

__call__() (neurolit.inference.AnomalyInferer method) (neurolit.inference.DiffusionInfererVINN method) (neurolit.inference.InpaintingInferer method) (neurolit.inference.OffsetTwoAndHalfDInpaintingInferer method) (neurolit.inference.SliceWiseInpaintingInferer method) (neurolit.inference.TwoAndHalfDInpaintingInferer method) __getitem__() (neurolit.data.datasets.SlicedDataset method) __init__() (neurolit.data.datasets.SlicedDataset method) (neurolit.data.transforms.ScaleAugmentation method) (neurolit.data.transforms.Subsampled method) (neurolit.inference.InpaintingInferer method) (neurolit.inference.SliceWiseInpaintingInferer method) (neurolit.inference.TwoAndHalfDInpaintingInferer method) (neurolit.networks.DiffusionUnet.DiffusionModelUNetVINN method) (neurolit.networks.interpolation_layer.OnlyZoom3d method) (neurolit.networks.interpolation_layer.Zoom2d method) (neurolit.networks.interpolation_layer.Zoom3d method)

_crop_position (neurolit.networks.interpolation_layer.Zoom2d attribute) _interpolate() (neurolit.networks.interpolation_layer.Zoom2d method) _N (neurolit.networks.interpolation_layer.Zoom2d attribute)

A

AnomalyInferer (class in neurolit.inference)

ax (neurolit.data.datasets.SlicedDataset attribute)

C

check_affine_in_nifti() (in module neurolit.data.conform) check_and_download_ckpts() (in module neurolit.utils.download_checkpoints)

conform() (in module neurolit.data.conform) conform_nifti() (in module neurolit.inpaint_image) conformed_vox_img_size() (in module neurolit.data.conform)

D

dataset (neurolit.data.datasets.SlicedDataset attribute) denoise() (neurolit.inference.AnomalyInferer method) (neurolit.inference.TwoAndHalfDInpaintingInferer method) diffusion_backward() (neurolit.inference.InpaintingInferer method)

diffusion_forward() (neurolit.inference.InpaintingInferer method) DiffusionInfererVINN (class in neurolit.inference) DiffusionModelUNetVINN (class in neurolit.networks.DiffusionUnet) dilate_mask() (in module neurolit.inpaint_image) download_checkpoint() (in module neurolit.utils.download_checkpoints)

F

fallback_multiple_urls() (in module neurolit.utils.download_checkpoints) find_img_size_by_fov() (in module neurolit.data.conform)

find_min_size() (in module neurolit.data.conform) forward() (neurolit.networks.DiffusionUnet.DiffusionModelUNetVINN method) (neurolit.networks.interpolation_layer.OnlyZoom3d method)

G

get_base_dataset() (in module neurolit.data.datasets) get_conformed_vox_img_size() (in module neurolit.data.conform) get_dataset() (in module neurolit.data.datasets) get_inference_slices() (neurolit.inference.SliceWiseInpaintingInferer method)

get_slice_axis() (neurolit.data.datasets.SlicedDataset method) get_slice_from_volume() (in module neurolit.inpaint_image) (neurolit.inference.SliceWiseInpaintingInferer method) get_test_sample() (in module neurolit.data.datasets) getscale() (in module neurolit.data.conform)

I

Identityd (class in neurolit.data.transforms) inpaint_volume() (in module neurolit.inpaint_image)

InpaintingInferer (class in neurolit.inference) is_conform() (in module neurolit.data.conform) is_orientation() (in module neurolit.data.conform)

L

len (neurolit.data.datasets.SlicedDataset attribute)

M

main() (in module neurolit.inpaint_image) (in module neurolit.utils.download_checkpoints) map_image() (in module neurolit.data.conform) module neurolit.cli neurolit.data neurolit.data.conform neurolit.data.datasets neurolit.data.transforms neurolit.inference neurolit.inpaint_image neurolit.networks neurolit.networks.DiffusionUnet neurolit.networks.interpolation_layer neurolit.utils neurolit.utils.download_checkpoints neurolit.utils.plotting

N

neurolit.cli module neurolit.data module neurolit.data.conform module neurolit.data.datasets module neurolit.data.transforms module neurolit.inference module neurolit.inpaint_image module

neurolit.networks module neurolit.networks.DiffusionUnet module neurolit.networks.interpolation_layer module neurolit.utils module neurolit.utils.download_checkpoints module neurolit.utils.plotting module

O

OffsetTwoAndHalfDInpaintingInferer (class in neurolit.inference)

OnlyZoom3d (class in neurolit.networks.interpolation_layer) options_parse() (in module neurolit.data.conform)

P

plot_batch() (in module neurolit.utils.plotting) plot_inpainting() (in module neurolit.utils.plotting)

plot_learning_curve() (in module neurolit.utils.plotting) plot_scheduler() (in module neurolit.utils.plotting)

R

rescale() (in module neurolit.data.conform)

resolve_inference_device() (in module neurolit.inpaint_image) run_lit() (in module neurolit.cli)

S

sample() (neurolit.inference.DiffusionInfererVINN method) sample_backward_forward() (neurolit.inference.DiffusionInfererVINN method) sample_forward_diffusion() (neurolit.inference.InpaintingInferer method) ScaleAugmentation (class in neurolit.data.transforms) scalecrop() (in module neurolit.data.conform)

slice_per_img (neurolit.data.datasets.SlicedDataset attribute) slice_per_img_cumsum (neurolit.data.datasets.SlicedDataset attribute) slice_selector() (neurolit.inference.SliceWiseInpaintingInferer static method) SlicedDataset (class in neurolit.data.datasets) SliceWiseInpaintingInferer (class in neurolit.inference) Subsampled (class in neurolit.data.transforms)

T

thickness (neurolit.data.datasets.SlicedDataset attribute)

transform (neurolit.data.datasets.SlicedDataset attribute) TwoAndHalfDInpaintingInferer (class in neurolit.inference)

V

view_agg_inference() (neurolit.inference.AnomalyInferer method) (neurolit.inference.OffsetTwoAndHalfDInpaintingInferer method) (neurolit.inference.TwoAndHalfDInpaintingInferer method)

Z

Zoom2d (class in neurolit.networks.interpolation_layer)

Zoom3d (class in neurolit.networks.interpolation_layer)