Nathaniel C. Swinburne

According to our database, Nathaniel C. Swinburne authored at least 5 papers between 2020 and 2026.

Collaborative distances:

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

2026

brat : Aligned Multi-View Embeddings for Brain MRI Analysis.

Maxime Kayser, Maksim Gridnev, Wanting Wang, Max Bain, Aneesh Rangnekar, Avijit Chatterjee, Aleksandr Petrov, Harini Veeraraghavan, Nathaniel C. Swinburne

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Foundational Segmentation Models and Clinical Data Mining Enable Accurate Computer Vision for Lung Cancer.

Nathaniel C. Swinburne, Christopher B. Jackson, Andrew M. Pagano, Joseph N. Stember, Javin Schefflein, Brett Marinelli, Prashanth Kumar Panyam, Arthur Autz, Mohapar S. Chopra, Andrei I. Holodny, Michelle S. Ginsberg

J. Imaging Inform. Medicine, 2025

2023

Automated full body tumor segmentation in DOTATATE PET/CT for neuroendocrine cancer patients.

Alice M. L. Santilli, Prashanth Panyam, Arthur Autz, Rick Wray, John Philip, Pierre Elnajjar, Nathaniel C. Swinburne, Marius Mayerhoefer

Int. J. Comput. Assist. Radiol. Surg., November, 2023

2022

Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment.

Yu Huang, Raquel Moreno, Rachna Malani, Alicia Meng, Nathaniel C. Swinburne, Andrei I. Holodny, Ye Choi, Henry Rusinek, James B. Golomb, Ajax George, Lucas C. Parra, Robert J. Young

J. Digit. Imaging, 2022

2020

Advancing Semantic Interoperability of Image Annotations: Automated Conversion of Non-standard Image Annotations in a Commercial PACS to the Annotation and Image Markup.

Nathaniel C. Swinburne, David S. Mendelson, Daniel L. Rubin

J. Digit. Imaging, 2020