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0.18.0 (29-11-2020)

  • Add FPG dataset
  • Optimize cropping in samplers
  • Optimize implementation of UniformSampler and WeightedSampler
  • Fix non integer labels in Colin 27 version 2008 (#223)
  • Add RandomAnisotropy transform
  • Add RandomGamma transform
  • Add ScalarImage and LabelMap classes
  • Add RandomLabelsToImage transform
  • Add support for more input types in Transform
  • Add support for 4D images
  • Add ICBM dataset
  • Add support to specify axes as anatomical labels
  • Add SpatialTransform and IntensityTransform
  • Replace ImagesDataset with SubjectsDataset
  • Add support to pass multiple paths to Image
  • Refactor reproducibility features
  • Add deterministic versions of all random transforms
  • Add support to invert transforms
  • Add support for SimpleITK > 1
  • Add pre-commit to help contributions and improve coda quality
  • Add DICOM data for testing
  • Add some visualization support (Subject.plot, Image.plot)
  • Add support to pass parameters per axis, e.g. for RandomAffine (#346)
  • Remove deprecated transforms Resample and CenterCropOrPad

0.17.0 (23-06-2020)

  • Add transforms history to Subject attributes to improve traceability
  • Add support to use an initial transformation in Resample
  • Add support to use an image file as target in Resample
  • Add mean argument to RandomNoise
  • Add tensor support for transforms
  • Add support to use strings as interpolation argument
  • Add support for 2D images
  • Add attribute access to Subject and Image
  • Add MNI and 3D Slicer datasets
  • Add intensity argument to RandomGhosting
  • Add translation argument to RandomAffine
  • Add shape, spacing and orientation attributes to Image and Subject
  • Refactor samplers
  • Refactor inference classes
  • Add 3D Slicer extension
  • Add ITK-SNAP datasets
  • Add support to take NumPy arrays as transforms input
  • Optimize cropping using PyTorch
  • Optimizing transforms by reducing number of tensor copying
  • Improve representation (repr()) of Image
  • Use lazy loading in Image

0.16.0 (21-04-2020)

  • Add advanced padding options for RandomAffine
  • Add reference space options in Resample
  • Add probability argument to all transforms
  • Add OneOf and Compose transforms to improve composability

0.15.0 (07-04-2020)

  • Refactor RandomElasticDeformation transform
  • Make Subject inherit from dict

0.14.0 (31-03-2020)

  • Add datasets module
  • Add support for DICOM files
  • Add documentation
  • Add CropOrPad transform

0.13.0 (24-02-2020)

  • Add Subject class
  • Add random blur transform
  • Add lambda transform
  • Add random patches swapping transform
  • Add MRI k-space ghosting artefact augmentation

0.12.0 (21-01-2020)

  • Add ToCanonical transform
  • Add CenterCropOrPad transform

0.11.0 (15-01-2020)

  • Add Resample transform

0.10.0 (15-01-2020)

  • Add Pad transform
  • Add Crop transform

0.9.0 (14-01-2020)

  • Add CLI tool to transform an image from file

0.8.0 (11-01-2020)

  • Add Image class

0.7.0 (02-01-2020)

  • Make transforms use PyTorch tensors consistently

0.6.0 (02-01-2020)

  • Add support for NRRD

0.5.0 (01-01-2020)

  • Add bias field transform

0.4.0 (29-12-2019)

  • Add MRI k-space motion artefact augmentation

0.3.0 (21-12-2019)

  • Add Rescale transform
  • Add support for multimodal data and missing modalities

0.2.0 (2019-12-06)

  • First release on PyPI.