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Found 3 papers, 1 papers with code
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation
Using an off-the-shelf language model, we distil ground-truth reports into radiological descriptions for each SAE feature, which we then compile into a full report for each image, eliminating the need for fine-tuning large models for this task.
Competing for pixels: a self-play algorithm for weakly-supervised segmentation
Additionally, we propose a game termination condition that can be called by either side upon exhaustion of all ROI-containing patches, followed by the selection of a final patch from each.
Active learning using adaptable task-based prioritisation
In this work, the task predictor is a segmentation network.
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