Skip to content

Releases: casperdcl/brainweb

BrainWeb-based multimodal models v1.6.0

16 Sep 14:43
c6789d0

Choose a tag to compare

  • fix get_mmr_fromfile arguments being ignored (#5 <- #3)
  • fix toPetMmr ignoring modes (#7)
  • cache & make configurable: resolution & PET activity class (#8, #6 <- #4)
  • add `get_label_probabilities() (#8 <- #2)
    • add Act.all_labels
    • expose Act
  • add trim_zeros_ROI()
  • make toPetMmr() return ndarray
  • update example images
  • update dependencies

BrainWeb-based multimodal models v1.5.2

16 Sep 14:42
8579ac1

Choose a tag to compare

  • suppress volshow tight layout warning
  • misc minor framework updates

BrainWeb-based multimodal models v1.5.1

04 Jun 12:40
1404903

Choose a tag to compare

  • fix PET/mu map intensities
  • update documentation
  • add pip install brainweb[register] convenience

BrainWeb-based multimodal models v1.5.0

10 Feb 14:07
dab545d

Choose a tag to compare

  • add register
  • fix python3
  • update documentation

BrainWeb-based multimodal models v1.4.0

02 Nov 18:08
746d3d9

Choose a tag to compare

  • auto-clear unused axes
  • add Amyloid
  • expose PetClass and other intensities
  • minor documentation update

BrainWeb-based multimodal models v1.3.0

02 Nov 17:57
981e432

Choose a tag to compare

  • volshow updates
    • allow repeat tight_layout
    • fontproperties
    • frameon=False (fully borderless)
  • executable setup.py

BrainWeb-based multimodal models v1.2.0

23 Jul 13:02
59711d4

Choose a tag to compare

  • update documentation
  • add volshow():vmins, vmaxs, tight_layout

BrainWeb-based multimodal models v1.1.0

10 Jul 21:31
0c1d055

Choose a tag to compare

  • expose get_files():progress=True
  • add CI testing (travis)
    • add flake8
    • add setup.py check
  • move to setup.cfg
  • add & update badges

BrainWeb-based multimodal models v1.0.0

05 Jul 21:49
6901f48

Choose a tag to compare

Beta release

Features

  • Caches data to ~/.brainweb/
  • Transforms to Siemens Biograph mMR volume dimensions float32(127, 344, 344)
  • Modifies to have FDG, T1, T2 and attenuation map intensities
  • Adds non-piecewise-constant randomised structure for more realistic ground truths
  • Adds lesions
  • Flexible multi-volume slicing tool for Jupyter notebooks brainweb.volshow