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@@ -53,6 +53,8 @@ logits = model.predict_segmentation(input_tensor, apply_softmax=False)
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  ## Citation
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  ```bibtex
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  @article{chalcroft2025synthetic,
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  title={Synthetic Data for Robust Stroke Segmentation},
@@ -69,6 +71,8 @@ logits = model.predict_segmentation(input_tensor, apply_softmax=False)
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  For the original arXiv preprint:
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  ```bibtex
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  @article{Chalcroft_2025,
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  title={Synthetic Data for Robust Stroke Segmentation},
 
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  ## Citation
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+ [Machine Learning for Biomedical Imaging](https://www.melba-journal.org/papers/2025:014.html)
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  ```bibtex
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  @article{chalcroft2025synthetic,
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  title={Synthetic Data for Robust Stroke Segmentation},
 
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  For the original arXiv preprint:
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+ [arXiv](https://arxiv.org/abs/2404.01946)
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  ```bibtex
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  @article{Chalcroft_2025,
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  title={Synthetic Data for Robust Stroke Segmentation},