Elsevier B.V.

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People

  1. Deasy
    Deasy
  2. Thor
    Thor
  3. Apte
    Apte
  4. Tyagi
    Tyagi
  5. Veeraraghavan
    Veeraraghavan
  6. Cervino Arriba
    Cervino Arriba
  7. Aristophanous
    Aristophanous
  8. Hu
    Hu
  9. Wu
    Wu
  10. Zarepisheh
    Zarepisheh

Groups

  1. Medical Physics (14)
  2. Sloan Kettering Institute Postdocs (14)
  3. Radiation Oncology, Department of (9)
  4. Radiotherapy Physics Service (9)
  5. Population Sciences Research Program (8)
  6. Radiology, Department of (4)
  7. Survivorship Research (3)
  8. Graduate Medical Education (2)
  9. Neuroradiology Service (2)
  10. Body Imaging Service (1)
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  1. "Sloan Kettering Institute Postdocs"
  2. "Medical Physics"
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  1. Journal Article (14)
Groups
  1. Medical Physics (14)
  2. Sloan Kettering Institute Postdocs (14)
  3. Radiation Oncology, Department of (9)
  4. Radiotherapy Physics Service (9)
  5. Population Sciences Research Program (8)
  6. Radiology, Department of (4)

More Groups

People
  1. Joseph Deasy (8)
  2. Maria Thor (8)
  3. Aditya Apte (5)
  4. Neelam Tyagi (5)
  5. Andreas Rimner (4)
  6. Harini Veeraraghavan (4)

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Years
  1. 2024 (2)
  2. 2023 (2)
  3. 2022 (2)
  4. 2021 (1)
  5. 2020 (3)
  6. 2019 (1)

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Publications
  1. Physics and Imaging in Radiation Oncology (13)
  2. Photodiagnosis and Photodynamic Therapy (1)

Results (14)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Automated planning of stereotactic spine re-irradiation using cumulative dose limits
    Journal Article

    Meyer, S.; Zhang, L.; Liu, Y.; Kuo, L. C.; Hu, Y. C.; Yamada, Y.; Zarepisheh, M.; Zhang, P.; Cerviño, L.
    Physics and Imaging in Radiation Oncology (2024)

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  • Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues
    Journal Article

    Jiang, J.; Choi, C. M. S.; Deasy, J. O.; Rimner, A.; Thor, M.; Veeraraghavan, H.
    Physics and Imaging in Radiation Oncology (2024)

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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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  • Association of cardiac calcium burden with overall survival after radiotherapy for non-small cell lung cancer
    Journal Article

    Haseltine, J. M.; Apte, A.; Jackson, A.; Yorke, E.; Yu, A. F.; Plodkowski, A.; Wu, A.; Peleg, A.; Al-Sadawi, M.; Iocolano, M.; more...
    Physics and Imaging in Radiation Oncology (2023)

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  • Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans
    Journal Article

    Walls, G. M.; Giacometti, V.; Apte, A.; Thor, M.; McCann, C.; Hanna, G. G.; O'Connor, J.; Deasy, J. O.; Hounsell, A. R.; Butterworth, K. T.; more...
    Physics and Imaging in Radiation Oncology (2022)

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  • Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patients
    Journal Article

    Alam, S.; Veeraraghavan, H.; Tringale, K.; Amoateng, E.; Subashi, E.; Wu, A. J.; Crane, C. H.; Tyagi, N.
    Physics and Imaging in Radiation Oncology (2022)

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  • Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy
    Journal Article

    Thor, M.; Iyer, A.; Jiang, J.; Apte, A.; Veeraraghavan, H.; Allgood, N. B.; Kouri, J. A.; Zhou, Y.; LoCastro, E.; Elguindi, S.; more...
    Physics and Imaging in Radiation Oncology (2021)

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  • Clinical experience and workflow challenges with magnetic resonance-only radiation therapy simulation and planning for prostate cancer
    Journal Article

    Tyagi, N.; Zelefsky, M. J.; Wibmer, A.; Zakian, K.; Burleson, S.; Happersett, L.; Halkola, A.; Kadbi, M.; Hunt, M.
    Physics and Imaging in Radiation Oncology (2020)

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  • Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes analysis
    Journal Article

    Haq, R.; Hotca, A.; Apte, A.; Rimner, A.; Deasy, J. O.; Thor, M.
    Physics and Imaging in Radiation Oncology (2020)

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  • Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer
    Journal Article

    Alam, S.; Thor, M.; Rimner, A.; Tyagi, N.; Zhang, S. Y.; Kuo, L. C.; Nadeem, S.; Lu, W.; Hu, Y. C.; Yorke, E.; more...
    Physics and Imaging in Radiation Oncology (2020)

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