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Nathaniel C. Swinburne

Formats
  1. Journal Article (12)
  2. Book Section (1)
  3. Editorial (1)
Groups
  1. Neuroradiology Service (14)
  2. Radiology, Department of (14)
  3. Sloan Kettering Institute Postdocs (6)
  4. Body Imaging Service (5)
  5. Graduate Medical Education (5)
  6. Medical Physics (4)

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People
  1. Andrei Holodny (7)
  2. Robert Young (6)
  3. Brett Marinelli (3)
  4. John Philip (3)
  5. Vaios Hatzoglou (3)
  6. Akash Shah (2)

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Years
  1. 2025 (2)
  2. 2024 (1)
  3. 2023 (3)
  4. 2022 (3)
  5. 2021 (2)
  6. 2020 (2)

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Publications
  1. Journal of Digital Imaging (2)
  2. Radiology: Artificial Intelligence (2)
  3. Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks (1)
  4. Frontiers in Neurology (1)
  5. International Journal of Computer Assisted Radiology and Surgery (1)
  6. Journal of Clinical Pathology (1)

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Publishers
  1. Springer (4)
  2. Radiological Society of North America, Inc. (2)
  3. BMJ Publishing Group Ltd. (1)
  4. Elsevier B.V. (1)
  5. Elsevier Inc. (1)
  6. Frontiers Media S.A. (1)

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Results (14)

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  • Foundational segmentation models and clinical data mining enable accurate computer vision for lung cancer
    Journal Article

    Swinburne, N. C.; Jackson, C. B.; Pagano, A. M.; Stember, J. N.; Schefflein, J.; Marinelli, B.; Panyam, P. K.; Autz, A.; Chopra, M. S.; Holodny, A. I.; more...
    Journal of Imaging Informatics in Medicine (2025)

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  • Extraction and classification of structured data from unstructured hepatobiliary pathology reports using large language models: A feasibility study compared with rules-based natural language processing
    Journal Article

    Geevarghese, R.; Sigel, C.; Cadley, J.; Chatterjee, S.; Jain, P.; Hollingsworth, A.; Chatterjee, A.; Swinburne, N.; Bilal, K. H.; Marinelli, B.
    Journal of Clinical Pathology (2025)

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  • When the student becomes the master: Boosting intracranial hemorrhage detection generalizability with teacher-student learning
    Editorial

    Swinburne, N.
    Radiology: Artificial Intelligence (2024)

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  • Virtual and augmented reality in interventional radiology: Current applications, challenges, and future directions
    Journal Article

    Elsakka, A.; Park, B. J.; Marinelli, B.; Swinburne, N. C.; Schefflein, J.
    Techniques in Vascular and Interventional Radiology (2023)

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  • Automated full body tumor segmentation in DOTATATE PET/CT for neuroendocrine cancer patients
    Journal Article

    Santilli, A.; Panyam, P.; Autz, A.; Wray, R.; Philip, J.; Elnajjar, P.; Swinburne, N.; Mayerhoefer, M.
    International Journal of Computer Assisted Radiology and Surgery (2023)

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  • Automatically tracking brain metastases after stereotactic radiosurgery
    Journal Article

    Hsu, D. G.; Ballangrud, Å.; Prezelski, K.; Swinburne, N. C.; Young, R.; Beal, K.; Deasy, J. O.; Cerviño, L.; Aristophanous, M.
    Physics and Imaging in Radiation Oncology (2023)

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  • Deep learning achieves neuroradiologist-level performance in detecting hydrocephalus requiring treatment
    Journal Article

    Huang, Y.; Moreno, R.; Malani, R.; Meng, A.; Swinburne, N.; Holodny, A. I.; Choi, Y.; Rusinek, H.; Golomb, J. B.; George, A.; more...
    Journal of Digital Imaging (2022)

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  • Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
    Journal Article

    Boehm, K. M.; Aherne, E. A.; Ellenson, L.; Nikolovski, I.; Alghamdi, M.; Vázquez-García, I.; Zamarin, D.; Roche, K. L.; Liu, Y.; Patel, D.; more...
    Nature Cancer (2022)

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  • Semisupervised training of a brain MRI tumor detection model using mined annotations
    Journal Article

    Swinburne, N. C.; Yadav, V.; Kim, J.; Choi, Y. R.; Gutman, D. C.; Yang, J. T.; Moss, N.; Stone, J.; Tisnado, J.; Hatzoglou, V.; more...
    Radiology (2022)

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  • Integrating eye tracking and speech recognition accurately annotates MR brain images for deep learning: Proof of principle
    Journal Article

    Stember, J. N.; Celik, H.; Gutman, D.; Swinburne, N.; Young, R.; Eskreis-Winkler, S.; Holodny, A.; Jambawalikar, S.; Wood, B. J.; Chang, P. D.; more...
    Radiology: Artificial Intelligence (2021)

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