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Sharif Elguindi

Formats
  1. Meeting Abstract (21)
  2. Journal Article (9)
  3. Editorial (1)
  4. Review (1)
Groups
  1. Medical Physics (29)
  2. Radiotherapy Physics Service (21)
  3. Sloan Kettering Institute Postdocs (16)
  4. Radiation Oncology, Department of (10)
  5. Population Sciences Research Program (9)
  6. Survivorship Research (5)

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People
  1. Harini Veeraraghavan (15)
  2. Jue Jiang (14)
  3. Joseph Deasy (13)
  4. Laura Cervino Arriba (9)
  5. Eve LoCastro (7)
  6. Maria Thor (7)

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Years
  1. 2025 (4)
  2. 2024 (8)
  3. 2023 (1)
  4. 2022 (6)
  5. 2021 (5)
  6. 2020 (3)

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Publications
  1. Medical Physics (11)
  2. International Journal of Radiation Oncology, Biology, Physics (9)
  3. Radiotherapy and Oncology (4)
  4. Journal of Applied Clinical Medical Physics (2)
  5. Physics and Imaging in Radiation Oncology (2)
  6. Clinical Oncology (1)

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Publishers
  1. Elsevier Inc. (15)
  2. American Association of Physicists in Medicine (11)
  3. American College of Medical Physics (2)
  4. Elsevier B.V. (2)
  5. Elsevier Science, Inc. (1)
  6. IOP Publishing Ltd (1)

Results (32)


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  • Multi-year clinical experience with in-house developed AI auto-segmentation for radiotherapy planning
    Meeting Abstract

    Elguindi, S.; Jiang, J.; Apte, A.; Iyer, A.; LoCastro, E.; Hu, Y.; Cha, E.; Gillespie, E.; Onochie, I.; Gorovets, D.; more...
    Medical Physics (2021)

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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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  • Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review
    Review

    Sherer, M. V.; Lin, D.; Elguindi, S.; Duke, S.; Tan, L. T.; Cacicedo, J.; Dahele, M.; Gillespie, E. F.
    Radiotherapy and Oncology (2021)

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  • Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy
    Journal Article

    Cha, E.; Elguindi, S.; Onochie, I.; Gorovets, D.; Deasy, J. O.; Zelefsky, M.; Gillespie, E. F.
    Radiotherapy and Oncology (2021)

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  • Minimum bladder reference contour to guide patient setup for prostate radiotherapy
    Meeting Abstract

    Happersett, L.; Damato, A. L.; Elguindi, S.; Gorovets, D. Jr
    International Journal of Radiation Oncology, Biology, Physics (2020)

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  • Library of deep-learning image segmentation and outcomes model-implementations
    Journal Article

    Apte, A. P.; Iyer, A.; Thor, M.; Pandya, R.; Haq, R.; Jiang, J.; LoCastro, E.; Shukla-Dave, A.; Sasankan, N.; Xiao, Y.; more...
    Physica Medica (2020)

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  • Efficiency and safety increases after the implementation of a multi-institutional automated plan check tool at our institution
    Journal Article

    Berry, S. L.; Zhou, Y.; Pham, H.; Elguindi, S.; Mechalakos, J. G.; Hunt, M.
    Journal of Applied Clinical Medical Physics (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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  • Self-attention based deep learning probabilistic parotid gland segmentation quality evaluation using dose volume histogram analysis
    Meeting Abstract

    Berry, S.; Jiang, J.; Elguindi, S.; Hunt, M.; Deasy, J.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Dosimetric impact of residual distortion in a 3T MR simulator used for stereotactic radiosurgery treatment planning
    Meeting Abstract

    Sheng, Y.; Cui, Y.; Elguindi, S.; Kirkpatrick, J.; Yin, F.; Subashi, E.
    Medical Physics (2019)

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