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Found 4 papers, 1 papers with code
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
We confirm that our experts make progress in the environments given 8 hours, with 82% of expert attempts achieving a non-zero score and 24% matching or exceeding our strong reference solutions.
End-to-end lung nodule detection framework with model-based feature projection block
This paper proposes novel end-to-end framework for detecting suspicious pulmonary nodules in chest CT scans.
Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans
Therefore, we developed an algorithm for sampling points from a point cloud constructed from a 3D image of the candidate region.
GANs 'N Lungs: improving pneumonia prediction
We propose a novel method to improve deep learning model performance on highly-imbalanced tasks.
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