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Found 4 papers, 2 papers with code
Cross-modality image synthesis from TOF-MRA to CTA using diffusion-based models
Cerebrovascular disease often requires multiple imaging modalities for accurate diagnosis, treatment, and monitoring.
From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU
This suggests that as data from more hospitals become available for training, model robustness is likely to increase, lower-bounding robustness with the performance of the most applicable data source in the training data.
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
Besides, we showed that synthetic patches can be used in a transfer learning approach with independent data.
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking
We calculated the Kendall-rank-correlation-coefficient between the segmentation ranking and the number of errors in each simulated segmentation.
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