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Releases: DiedrichsenLab/SUITPy

Version 2.1.1

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@jdiedrichsen jdiedrichsen released this 03 Jun 01:30
  • Fixed s-form and q-form inconsistency that can occur using ANTS - using sform by default
  • Fixed bug in summarize_data function to compute ROI volumes correctly
  • Anatomical analysis documentation

Version 2.1.0

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@jdiedrichsen jdiedrichsen released this 14 Apr 22:29

Isolation algorithm approvements
Isolation not dependent on Pytorch - forward pass runs on numpy only
Normalization algorithm using ANTS implemented
Fetching on atlases improved

2.0.0

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@jdiedrichsen jdiedrichsen released this 26 Oct 15:33

Major new release to fully replace the functionality of the SUIT Matlab toolbox.
Version 2.0.0 has a new deep-learning based isolation alforithm (Author: Yao Li) - version 2.1 will include full normalization functionality.

  • New Isolation module
  • Refactored atlas integration and download

Version 1.3.2

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@jdiedrichsen jdiedrichsen released this 30 Nov 15:04

Cleaned up setup.py - removed out-of-date dependency checks.

Version 1.3.1

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@jdiedrichsen jdiedrichsen released this 09 Oct 12:18

added Neuroimaging tools as required package for installation

version 1.3.0

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@jdiedrichsen jdiedrichsen released this 08 Oct 21:12
  • relies on nitools (neuroimagingtools) for lower-level functionality to make it easier to maintain
  • threshold now behaves as intended: Scalar : displays overlay above 2-element array: Displays data outside of limits +-
  • Example with activation and deactivation and divergent colormap added to documentation

version 1.2.0

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@jdiedrichsen jdiedrichsen released this 18 Mar 01:17

Plotting RGB data on flatmap

version 1.1.1

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@jdiedrichsen jdiedrichsen released this 05 May 21:05

Update to version number

version 1.1.0

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@jdiedrichsen jdiedrichsen released this 05 May 21:00

Reslicing module added to allow non-linear normalisation into suit space

map.vol_to_surf now deals correctly with 4d-niftis

version 1.0.5

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@jdiedrichsen jdiedrichsen released this 08 Mar 02:03

Option to render flatmaps in plotly
Control over bordersize, bordercolor, and backgroundcolor