Nathaniel C Swinburne (N Swinburne, Nathaniel Swinburne)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Convolutional Neural Network

Diffusion Weighted Imaging

Top Venues

Radiology. Artificial intelligence

Nature medicine

AJNR. American journal of neuroradiology

This page only lists publications with an associated author ORCID identifier.

Publications

Nathaniel C Swinburne
When the Student Becomes the Master: Boosting Intracranial Hemorrhage Detection Generalizability with Teacher-Student Learning. Radiology. Artificial intelligence 6 (3) (2024)
Nathaniel C Swinburne
When the Student Becomes the Master: Boosting Intracranial Hemorrhage Detection Generalizability with Teacher-Student Learning. Radiology. Artificial intelligence 6 (3) (2024)
Nathaniel C Swinburne
When the Student Becomes the Master: Boosting Intracranial Hemorrhage Detection Generalizability with Teacher-Student Learning. Radiology. Artificial intelligence 6 (3) (2024)
Nathaniel C Swinburne, Vivek Yadav, Julie Kim, Ye R Choi, David C Gutman, Jonathan T Yang, Nelson S Moss, Jacqueline Stone, Jamie Tisnado, Vaios Hatzoglou, Sofia S Haque, Sasan Karimi, John Lyo, Krishna Juluru, Karl Pichotta, Jianjiong Gao, Sohrab P Shah, Andrei I Holodny, Robert J Young, null null
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations. Radiology 303 (1) (2022)
Nathaniel C Swinburne, David Mendelson, Daniel L Rubin
Advancing Semantic Interoperability of Image Annotations: Automated Conversion of Non-standard Image Annotations in a Commercial PACS to the Annotation and Image Markup. Journal of digital imaging 33 (1) (2021)
Joseph Nathaniel Stember, Haydar Celik, David Gutman, Nathaniel C Swinburne, Robert Young, Sarah Eskreis-Winkler, Andrei I Holodny, Sachin Jambawalikar, Bradford J Wood, Peter D Chang, Elizabeth Krupinski, Ulas Bagci
Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle. Radiology. Artificial intelligence 3 (1) (2020)
Joseph J Titano, Marcus Badgeley, Javin Schefflein, Margaret Pain, Andres Su, Michael Cai, Nathaniel C Swinburne, John Zech, Jun Kim, Joshua Bederson, J Mocco, Burton Drayer, Joseph Lehár, Samuel Cho, Anthony Costa, Eric K Oermann
Automated deep-neural-network surveillance of cranial images for acute neurologic events. Nature medicine 24 (9) (2018)
Iris E Chen, Nathaniel C Swinburne, Nadejda M Tsankova, Marco M Hefti, A Aggarwal, Amish Doshi, Adília Hormigo, Bradley N Delman, Kambiz Nael
Sequential Apparent Diffusion Coefficient for Assessment of Tumor Progression in Patients with Low-Grade Glioma. AJNR. American journal of neuroradiology 39 (6) (2018)