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@@ -31,7 +31,7 @@ probabilistic segmentation](https://arxiv.org/abs/2312.15686) by Soumick Chatter
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  - **Developed by:** Dr Soumick Chatterjee
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  - **Model type:** 3D Probabilistic UNet (PULASki's baseline), trained (without a distribution distance loss) with Focal Tversky loss (FTL)
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- - **Task:** Probabilistic vessel segmentation in 7T MRA-ToF volumes - provides 10 segmentations for each input volume
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  - **Training dataset:** 7T MRA-ToF volumes, details mentioned in Sec. 4.1 of https://arxiv.org/pdf/2312.15686
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  ### Model Sources
 
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  - **Developed by:** Dr Soumick Chatterjee
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  - **Model type:** 3D Probabilistic UNet (PULASki's baseline), trained (without a distribution distance loss) with Focal Tversky loss (FTL)
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+ - **Task:** Probabilistic vessel segmentation in 7T MRA-ToF volumes
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  - **Training dataset:** 7T MRA-ToF volumes, details mentioned in Sec. 4.1 of https://arxiv.org/pdf/2312.15686
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  ### Model Sources