Robust-ComBat: Mitigating Outlier Effects in Diffusion MRI Data Harmonization | ScienceToStartup | ScienceToStartup

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References (32)

[1]

Challenges and best practices when using ComBAT to harmonize diffusion MRI data

2025Pierre-Marc Jodoin, Manon Edde et al.

[2]

Clinical-ComBAT: a diffusion-weighted MRI harmonization method for clinical applications

2025Gabriel Girard, Manon Edde et al.

[3]

The BAMBOO method for correcting batch effects in high throughput proximity extension assays for proteomic studies

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"Robust-ComBat enhances diffusion MRI data harmonization by effectively mitigating outlier effects in patients with neurological disorders."

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Robust-ComBat: Mitigating Outlier Effects in Diffusion MRI Data Harmonization

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References (32)

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"Robust-ComBat enhances diffusion MRI data harmonization by effectively mitigating outlier effects in patients with neurological disorders."

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Robust-ComBat: Mitigating Outlier Effects in Diffusion MRI Data Harmonization

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References (32)

Founder's Pitch

"Robust-ComBat enhances diffusion MRI data harmonization by effectively mitigating outlier effects in patients with neurological disorders."

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