Anatomical segmentation is a fundamental task in medical image computing, generally tackled with fully convolutional neural networks which produce dense segmentation masks. These models are often ...

The Heartbreak Hogs moniker lives on for another year. Here's a deep dive on Arkansas baseball's late-inning collapse against LSU at the College World Series.

Automatic rib labeling and anatomical centerline extraction are common prerequisites for various clinical applications. Prior studies either use in-house datasets that are inaccessible to communities, ...

Machine learning analysis reveals that individual neurons throughout the brain embed information about their anatomical location in their spike trains, a feature that generalizes across animals, ...