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Harini Veeraraghavan

Formats
  1. Meeting Abstract (75)
  2. Journal Article (69)
  3. Conference Paper (10)
  4. Book Section (3)
  5. Miscellaneous (1)
  6. Review (1)
Groups
  1. Medical Physics (159)
  2. Sloan Kettering Institute Postdocs (111)
  3. Radiotherapy Physics Service (52)
  4. Radiology, Department of (43)
  5. Radiation Oncology, Department of (31)
  6. Population Sciences Research Program (26)

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People
  1. Joseph Deasy (84)
  2. Jue Jiang (59)
  3. Neelam Tyagi (33)
  4. Aditya Apte (32)
  5. Maria Thor (23)
  6. Andreas Rimner (19)

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Years
  1. 2025 (9)
  2. 2024 (20)
  3. 2023 (11)
  4. 2022 (24)
  5. 2021 (12)
  6. 2020 (13)

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Publications
  1. Medical Physics (74)
  2. International Journal of Radiation Oncology, Biology, Physics (12)
  3. Lecture Notes in Computer Science (6)
  4. Physics and Imaging in Radiation Oncology (6)
  5. Physics in Medicine and Biology (6)
  6. IEEE Transactions on Medical Imaging (5)

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Publishers
  1. American Association of Physicists in Medicine (74)
  2. Springer (18)
  3. Elsevier Inc. (16)
  4. IEEE (7)
  5. Elsevier B.V. (6)
  6. IOP Publishing Ltd (6)

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Results (159)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Radiomics analysis for gynecologic cancers
    Book Section

    Veeraraghavan, H.
    In Li, R.; Xing, L.; Napel, S.; Rubin, D. L. (Eds.) Radiomics and Radiogenomics: Technical Basis and Clinical Applications (2019)

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  • Dynamic multiatlas selection-based consensus segmentation of head and neck structures from CT images
    Journal Article

    Haq, R.; Berry, S. L.; Deasy, J. O.; Hunt, M.; Veeraraghavan, H.
    Medical Physics (2019)

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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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  • MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors
    Journal Article

    Bhatia, A.; Birger, M.; Veeraraghavan, H.; Um, H.; Tixier, F.; McKenney, A. S.; Cugliari, M.; Caviasco, A.; Bialczak, A.; Malani, R.; more...
    Neuro-Oncology (2019)

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  • Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation
    Conference Paper

    Jue, J.; Jason, H.; Neelam, T.; Andreas, R.; Sean, B. L.; Joseph, D. O.; Harini, V.
    Springer (2019)

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  • A rectal cancer organoid platform to study individual responses to chemoradiation
    Journal Article

    Ganesh, K.; Wu, C.; O’Rourke, K. P.; Szeglin, B. C.; Zheng, Y.; Sauvé, C. E. G.; Adileh, M.; Wasserman, I.; Marco, M. R.; Kim, A. S.; more...
    Nature Medicine (2019)

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  • Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
    Journal Article

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Zhang, P.; Rimner, A.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Predictors of early response to immunotherapy in head and neck cancer: A secondary clinical and radiomic analysis of a prospective randomized trial with nivolumab
    Meeting Abstract

    Yu, Y.; Chen, L.; Riaz, N.; Kang, J. J.; Thor, M.; Veeraraghavan, H.; Apte, A.; Tsai, C. J.; Deasy, J. O.; Sherman, E.; more...
    International Journal of Radiation Oncology, Biology, Physics (2019)

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  • Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets
    Journal Article

    Um, H.; Tixier, F.; Bermudez, D.; Deasy, J. O.; Young, R. J.; Veeraraghavan, H.
    Physics in Medicine and Biology (2019)

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  • Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI-radiomic features
    Journal Article

    Tixier, F.; Um, H.; Young, R. J.; Veeraraghavan, H.
    Medical Physics (2019)

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