Brayden Schott

According to our database, Brayden Schott authored at least 2 papers in 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer.

Xin Tie, Weijie Chen, Zachary Huemann, Brayden Schott, Nuohao Liu, Tyler J. Bradshaw

Proceedings of the Head and Neck Tumor Segmentation for MR-Guided Applications, 2024

Information Bottleneck-Based Feature Weighting for Enhanced Medical Image Out-of-Distribution Detection.

Brayden Schott, Zan Klanecek, Alison Deatsch, Victor Santoro-Fernandes, Thomas Francken, Scott Perlman, Robert Jeraj

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024