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Nathaniel C. Swinburne

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Journal Articles

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2023
[j3]
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  dblp key:
  - journals/cars/SantilliPAWPESM23
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  persistent URL:
  - https://dblp.org/rec/journals/cars/SantilliPAWPESM23
Alice M. L. Santilli, Prashanth Panyam, Arthur Autz, Rick Wray, John Philip, Pierre Elnajjar, Nathaniel C. Swinburne, Marius Mayerhoefer:
Automated full body tumor segmentation in DOTATATE PET/CT for neuroendocrine cancer patients. Int. J. Comput. Assist. Radiol. Surg. 18(11): 2083-2090 (2023)
2022
[j2]
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  - journals/jdi/HuangMMMSHCRGGP22
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  - https://dblp.org/rec/journals/jdi/HuangMMMSHCRGGP22
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:
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment. J. Digit. Imaging 35(6): 1662-1672 (2022)
2020
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  - journals/jdi/SwinburneMR20
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Nathaniel C. Swinburne, David S. 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. J. Digit. Imaging 33(1): 49-53 (2020)

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