Nathaniel Swinburne
7PUBLICATIONS
23CO-AUTHORS
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Publications (7)
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|Oct 22, 2024
Foundational Segmentation Models and Clinical Data Mining Enable Accurate Computer Vision for Lung Cancer.Nathaniel C Swinburne, Christopher B Jackson, Andrew M Pagano
|Jan 18, 2022
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations.Nathaniel C Swinburne, Vivek Yadav, Julie Kim
|Apr 12, 2021
Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle.Joseph N Stember, Haydar Celik, David Gutman
|Feb 27, 2019
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 Mendelson, Daniel L Rubin
|Aug 15, 2018
Automated deep-neural-network surveillance of cranial images for acute neurologic events.Joseph J Titano, Marcus Badgeley, Javin Schefflein
|Apr 21, 2018
Sequential Apparent Diffusion Coefficient for Assessment of Tumor Progression in Patients with Low-Grade Glioma.I E Chen, N Swinburne, N M Tsankova
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Frequent Collaborators
2 joint publications
Andrei I Holodny
1 joint publications
I E Chen
1 joint publications
N M Tsankova
1 joint publications
M M Hefti
1 joint publications
A Aggarwal
1 joint publications
A H Doshi
1 joint publications
A Hormigo
1 joint publications
B N Delman
1 joint publications
K Nael
1 joint publications
Vivek Yadav
