text: """Top-level package for torchio."""
  
  __author__ = """Fernando Perez-Garcia"""
  __email__ = 'fernando.perezgarcia.17@ucl.ac.uk'
  __version__ = '0.17.7'
  
  from . import utils
  from .torchio import *
  from .transforms import *
  from .data import io, sampler, inference, ImagesDataset, Image, Queue, Subject
  from . import datasets
  from . import reference
  
  print('If you use TorchIO for your research, please cite the following paper:')
  print('Pérez-García et al., TorchIO: a Python library for efficient loading,')
  print('preprocessing, augmentation and patch-based sampling of medical images')
  print('in deep learning. Link: https://arxiv.org/abs/2003.04696\n')
  