Drop a paper, get a reproducibility report.
PaperSnitch parses the PDF, classifies the paper, checks it against the MICCAI reproducibility checklist, analyses its dataset documentation and code repository, and returns a 0–100 score with the evidence highlighted in the paper.
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Sample papers
Our-paper-PaperSnitch
The Paper Has a GitHub, the GitHub Has a README, the README Has Nothing: Reproducibility Signals for Review Support
Method-paper-with-public-code
A flexible deep learning framework for survival analysis with medical data
New-dataset-and-benchmark
Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT
Large-scale-surgical-dataset