32 citations · 70 across the 12 of their papers we have counts for
3 papers · 1 filter
Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists
Sophie Ostmeier, Brian Axelrod, Benjamin F. J. Verhaaren +7
To determine if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to neuroradiologists. Non-contras…
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations
Sophie Ostmeier, Brian Axelrod, Jeroen Bertels +6
Performance metrics for medical image segmentation models are used to measure the agreement between the reference annotation and the predicted segmentation. Usually, overlap metric…
On the Statistical Complexity of Sample Amplification
Brian Axelrod, Shivam Garg, Yanjun Han +2
The ``sample amplification'' problem formalizes the following question: Given i.i.d. samples drawn from an unknown distribution , when is it possible to produce a larger set…