38 citations · 64 across the 5 of their papers we have counts for
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cs.CV2024★ 3 cited
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
McKell Woodland, Nihil Patel, Austin Castelo +13
Clinically deployed deep learning-based segmentation models are known to fail on data outside of their training distributions. While clinicians review the segmentations, these mode…
cs.CV2023★ 19 cited
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
McKell Woodland, Austin Castelo, Mais Al Taie +8
Fréchet Inception Distance (FID) is a widely used metric for assessing synthetic image quality. It relies on an ImageNet-based feature extractor, making its applicability to medica…