Table 2.
Reference. | Harmonization Method | GitHub |
---|---|---|
Reinhold et al. [27] | Fuzzy C-means | https://github.com/jcreinhold/intensity-normalization, accessed on 9 September 2022 |
Reinhold et al. [27] | Gaussian mixture model (GMM) | https://github.com/jcreinhold/intensity-normalization, accessed on 11 October 2022 |
Reinhold et al. [27] | Kernel Density Estimate (KDE) | https://github.com/jcreinhold/intensity-normalization, accessed on 30 August 2022 |
Shinohara et al. [68] | Z-Score |
https://github.com/jcreinhold/intensity-normalization, accessed on 8 October 2022; https://github.com/Jfortin1/RAVEL, accessed on 8 October 2022 |
Shinohara et al. [68] | White Stripe |
https://github.com/jcreinhold/intensity-normalization, accessed on 11 September 2022; https://github.com/Jfortin1/RAVEL, accessed on 11 September 2022 |
Fortin et al. [69] | Ravel |
https://github.com/jcreinhold/intensity-normalization, accessed on 12 August 2022; https://github.com/Jfortin1/RAVEL, accessed on 12 August 2022 |
Nyul et al. [70] | Histogram Matching |
https://github.com/jcreinhold/intensity-normalization, accessed on 24 October 2022; https://github.com/Jfortin1/RAVEL, accessed on 24 October 2022; https://github.com/sergivalverde/MRI_intensity_normalization, accessed on 24 October 2022 |
Johnson et al. [71] Fortin et al. [28] |
ComBat, M-Combat |
https://github.com/Jfortin1/ComBatHarmonization, accessed on 18 September 2022; https://github.com/ncullen93/neuroCombat/tree/master/neuroCombat, accessed on 18 September 2022 |
Horng et al. [72] | Nested & GMM ComBat | https://github.com/hannah-horng/generalized-combat, accessed on 3 October 2022 |
Beer et al. [29] | Longitudinal ComBat | https://github.com/jcbeer/longCombat, accessed on 31 October 2022 |
Johnson et al. [71] Fortin et al. [28] |
ComBaTool Standalone web application |
https://forlhac.shinyapps.io/Shiny_ComBat/, accessed on 27 September 2022 |
Garcia-Dias et al. [73] | NeuroHarmony | https://github.com/garciadias/Neuroharmony, accessed on 23 August 2022 |
C. Ma et al. [30] | Deep Learning | https://github.com/horsepurve/StyleSegor, accessed on 21 September 2022 |
D. Tian et al. [31] | Deep Learning | https://github.com/DezhengTian/DeRed-Harmonization, accessed on 22 September 2022 |