Elsevier B.V.

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People

  1. Thor
    Thor
  2. Deasy
    Deasy
  3. Lee
    Lee
  4. Apte
    Apte
  5. Estilo
    Estilo
  6. Huryn
    Huryn
  7. Tyagi
    Tyagi
  8. Veeraraghavan
    Veeraraghavan
  9. Yom
    Yom
  10. Hu
    Hu

Groups

  1. Radiation Oncology, Department of (12)
  2. Sloan Kettering Institute Postdocs (12)
  3. Medical Physics (9)
  4. Radiotherapy Physics Service (7)
  5. Population Sciences Research Program (6)
  6. Surgery (3)
  7. Survivorship Research (3)
  8. Radiology, Department of (2)
  9. Body Imaging Service (1)
  10. Cardiology (1)
Search Within
  1. "Radiation Oncology, Department of"
  2. "Sloan Kettering Institute Postdocs"
Formats
  1. Journal Article (10)
  2. Meeting Abstract (2)
Groups
  1. Radiation Oncology, Department of (12)
  2. Sloan Kettering Institute Postdocs (12)
  3. Medical Physics (9)
  4. Radiotherapy Physics Service (7)
  5. Population Sciences Research Program (6)
  6. Surgery (3)

More Groups

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

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Years
  1. 2024 (2)
  2. 2023 (2)
  3. 2022 (1)
  4. 2020 (3)
  5. 2019 (1)
  6. 2017 (1)

More Years

Publications
  1. Physics and Imaging in Radiation Oncology (9)
  2. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology (3)

Results (12)


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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  • Relationship between clinician-measured health outcomes and patient-reported outcomes following head neck radiation therapy
    Meeting Abstract

    Singh, A.; Long, S. M.; Tin, Amy L.; Vickers, A. J.; Cracchiolo, J. R.; Lee, N. Y.; Yom, S. K.; Randazzo, J. R.; Huryn, J. M.; Estilo, C. L.
    Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology (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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  • 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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  • 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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  • Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy
    Journal Article

    Elguindi, S.; Zelefsky, M. J.; Jiang, J.; Veeraraghavan, H.; Deasy, J. O.; Hunt, M. A.; Tyagi, N.
    Physics and Imaging in Radiation Oncology (2019)

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  • A magnetic resonance imaging-based approach to quantify radiation-induced normal tissue injuries applied to trismus in head and neck cancer
    Journal Article

    Thor, M.; Tyagi, N.; Hatzoglou, V.; Apte, A.; Saleh, Z.; Riaz, N.; Lee, N. Y.; Deasy, J. O.
    Physics and Imaging in Radiation Oncology (2017)

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