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Gourav Lalitkumar Jhanwar

Formats
  1. Meeting Abstract (9)
  2. Journal Article (4)
  3. Conference Paper (1)
  4. Review (1)
Groups
  1. Medical Physics (15)
  2. Radiotherapy Physics Service (8)
  3. Sloan Kettering Institute Postdocs (8)
  4. Radiation Oncology, Department of (3)
People
  1. Masoud Zarepisheh (15)
  2. Joseph Deasy (10)
  3. Qijie Huang (9)
  4. Hai Pham (8)
  5. Jie Yang (8)
  6. Linda Hong (8)

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Years
  1. 2025 (1)
  2. 2024 (2)
  3. 2023 (2)
  4. 2022 (5)
  5. 2021 (5)
Publications
  1. Medical Physics (7)
  2. Physics in Medicine and Biology (3)
  3. Radiotherapy and Oncology (2)
  4. Advances in Neural Information Processing Systems (1)
  5. Informs Journal on Applied Analytics (1)
  6. International Journal of Radiation Oncology, Biology, Physics (1)
Publishers
  1. American Association of Physicists in Medicine (7)
  2. Elsevier Inc. (3)
  3. IOP Publishing Ltd (3)
  4. Informs (1)
  5. Neural Information Processing Systems Foundation (1)

Results (15)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Compressed radiotherapy treatment planning: A new paradigm for rapid and high-quality treatment planning optimization
    Journal Article

    Tefagh, M.; Jhanwar, G.; Zarepisheh, M.
    Medical Physics (2025)

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  • Randomized sparse matrix compression for large-scale constrained optimization in cancer radiotherapy
    Conference Paper

    Adeli, S.; Tefagh, M.; Jhanwar, G.; Zarepisheh, M.
    Neural Information Processing Systems Foundation (2024)

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  • Portpy: An open-source initiative for radiation therapy planning and optimization with seamless TPS integration
    Meeting Abstract

    Jhanwar, G.; Tefagh, M.; Huang, Q.; Taasti, V. T.; Tuomaala, S.; Nadeem, S.; Zarepisheh, M.
    Medical Physics (2024)

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  • Automated clinical-criteria-driven optimal planning: Clinical experience with over 6000 patients
    Meeting Abstract

    Hong, L.; Zhou, Y.; Huang, Q.; Jhanwar, G.; Yang, J.; Pham, H.; Cervino, L.; Deasy, J.; Zarepisheh, M.
    Radiotherapy and Oncology (2023)

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  • Automated VMAT treatment planning using sequential convex programming: Algorithm development and clinical implementation
    Journal Article

    Dursun, P.; Hong, L.; Jhanwar, G.; Huang, Q.; Zhou, Y.; Yang, J.; Pham, H.; Cervino, L.; Moran, J. M.; Deasy, J. O.; more...
    Physics in Medicine and Biology (2023)

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  • Domain knowledge driven 3D dose prediction using moment-based loss function
    Journal Article

    Jhanwar, G.; Dahiya, N.; Ghahremani, P.; Zarepisheh, M.; Nadeem, S.
    Physics in Medicine and Biology (2022)

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  • Automated and clinical-criteria-driven planning for lung cancer using the expedited constrained hierarchical optimization (ECHO) system
    Meeting Abstract

    Hong, L.; Huang, Q.; Zhou, Y.; Jhanwar, G.; Dursun, P.; Yang, J.; Pham, H.; Wu, A. J.; Yorke, E. D.; Cervino, L. I.; more...
    International Journal of Radiation Oncology, Biology, Physics (2022)

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  • Domain knowledge driven 3D dose prediction using moment-based loss function
    Meeting Abstract

    Jhanwar, G.; Dahiya, N.; Ghahremani, P.; Zarepisheh, M.; Nadeem, S.
    Medical Physics (2022)

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  • Automated clinical-criteria-driven optimal planning: Clinical experience with 5000 patients
    Meeting Abstract

    Huang, Q.; Zhou, Y.; Jhanwar, G.; Yang, J.; Pham, H.; Cervino, L.; Deasy, J.; Zarepisheh, M.; Hong, L.
    Medical Physics (2022)

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  • Automated and clinically optimal treatment planning for cancer radiotherapy
    Review

    Zarepisheh, M.; Hong, L.; Zhou, Y.; Huang, Q.; Yang, J.; Jhanwar, G.; Pham, H. D.; Dursun, P.; Zhang, P.; Hunt, M. A.; more...
    Informs Journal on Applied Analytics (2022)

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