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src/torchio/transforms/interpolation.py | 30 | A 0 mins |
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src/torchio/datasets/mni/sheep.py | 30 | A 35 mins |
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src/torchio/transforms/intensity_transform.py | 35 | A 0 mins |
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src/torchio/transforms/preprocessing/spatial/to_canonical.py | 35 | A 0 mins |
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src/torchio/transforms/preprocessing/label/one_hot.py | 37 | A 0 mins |
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src/torchio/transforms/augmentation/intensity/__init__.py | 38 | A 0 mins |
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src/torchio/typing.py | 38 | A 0 mins |
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src/torchio/transforms/preprocessing/__init__.py | 40 | A 0 mins |
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src/torchio/transforms/augmentation/random_transform.py | 42 | A 0 mins |
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src/torchio/cli/print_info.py | 46 | A 0 mins |
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src/torchio/transforms/preprocessing/intensity/clamp.py | 47 | A 0 mins |
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src/torchio/transforms/preprocessing/intensity/z_normalization.py | 47 | A 0 mins |
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src/torchio/transforms/preprocessing/intensity/normalization_transform.py | 47 | A 0 mins |
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src/torchio/transforms/preprocessing/spatial/crop.py | 49 | A 0 mins |
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src/torchio/transforms/preprocessing/label/sequential_labels.py | 50 | A 0 mins |
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tutorials/example_heteromodal.py | 55 | A 0 mins |
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src/torchio/datasets/medmnist.py | 56 | A 0 mins |
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src/torchio/transforms/lambda_transform.py | 62 | A 55 mins |
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src/torchio/transforms/preprocessing/label/remove_labels.py | 64 | A 0 mins |
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src/torchio/datasets/itk_snap/itk_snap.py | 66 | A 0 mins |
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src/torchio/transforms/preprocessing/spatial/resize.py | 67 | A 0 mins |
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src/torchio/datasets/slicer.py | 68 | A 0 mins |
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src/torchio/datasets/mni/pediatric.py | 69 | A 35 mins |
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src/torchio/transforms/preprocessing/spatial/copy_affine.py | 71 | A 0 mins |
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src/torchio/datasets/mni/icbm.py | 72 | A 0 mins |
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src/torchio/datasets/bite.py | 78 | A 0 mins |
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src/torchio/transforms/preprocessing/intensity/mask.py | 87 | A 0 mins |
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src/torchio/transforms/augmentation/intensity/random_blur.py | 91 | A 0 mins |
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src/torchio/transforms/__init__.py | 96 | A 0 mins |
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src/torchio/cli/apply_transform.py | 97 | A 1 hr |
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src/torchio/transforms/augmentation/intensity/random_noise.py | 98 | A 0 mins |
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src/torchio/data/sampler/sampler.py | 98 | A 0 mins |
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src/torchio/transforms/preprocessing/spatial/pad.py | 99 | A 35 mins |
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src/torchio/datasets/rsna_miccai.py | 105 | A 2 hrs |
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src/torchio/transforms/augmentation/spatial/random_anisotropy.py | 108 | A 35 mins |
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src/torchio/transforms/augmentation/spatial/random_flip.py | 110 | A 0 mins |
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src/torchio/transforms/preprocessing/intensity/rescale.py | 113 | A 35 mins |
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src/torchio/datasets/mni/colin.py | 117 | A 35 mins |
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src/torchio/transforms/preprocessing/spatial/ensure_shape_multiple.py | 117 | A 0 mins |
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src/torchio/transforms/augmentation/intensity/random_gamma.py | 126 | A 55 mins |
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src/torchio/datasets/episurg.py | 127 | A 25 mins |
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src/torchio/datasets/rsna_spine_fracture.py | 128 | A 45 mins |
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src/torchio/data/dataset.py | 129 | A 0 mins |
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src/torchio/download.py | 133 | A 2 hrs |
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