Oracle-guided RL tractography remains substantially better than non-oracle baselines across five dMRI datasets, and Iterative Reward Training raises the number of streamlines accepted by anatomical filters.
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Exploring the robustness of TractOracle methods in RL-based tractography
Oracle-guided RL tractography remains substantially better than non-oracle baselines across five dMRI datasets, and Iterative Reward Training raises the number of streamlines accepted by anatomical filters.