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20222025
most citedAccelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring

4 citations · 5 across the 3 of their papers we have counts for

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cs.CV2025

Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests

Ni Li, Ryan Jacobs, Matthew Lynch +3

Quantifying prediction uncertainty when applying object detection models to new, unlabeled datasets is critical in applied machine learning. This study introduces an approach to es…