0.6.0

Added

• isotropic random scaling option
• volume padding with user-specified constant
• subpixel layer for superresolution
• various loss functions for regression (smooth L1 loss, cosine loss etc.)
• handler for early stopping mechanism
• aggregator with multiple outputs including labels in CSV
• nnUNet, an improved version of UNet3D
• data augmentation with mixup and mixmatch
• documentation contents
• demo for learning rate scheduling
• demo for deep boosted regression
• initial integration of NiftyReg Resampler
• initial integration of CSV reader

Fixed

• issue of loading binary values of NIfTI file
• various fixes in CI tests
• prefix name for aggregators
• various improvements in error messages
• issue of batch indices in the conditional random field
• issue of location selection in the weighted sampler
• model zoo: compatibility upgrade
• model zoo: new decathlon hippocampus dataset

Changed

• feature normalisation types options: instance norm, group norm, batch norm
• convolution with padding option
• various documentation and docstrings
• defaulting to remove length one dimensions when saving a 5D volume