Search Within

Harini Veeraraghavan

  1. "Population Sciences Research Program"
Formats
  1. Meeting Abstract (14)
  2. Journal Article (12)
Groups
  1. Medical Physics (26)
  2. Population Sciences Research Program (26)
  3. Sloan Kettering Institute Postdocs (24)
  4. Radiotherapy Physics Service (8)
  5. Radiation Oncology, Department of (6)
  6. Biostatistics Service (3)

More Groups

People
  1. Maria Thor (23)
  2. Joseph Deasy (18)
  3. Jue Jiang (14)
  4. Aditya Apte (9)
  5. Andreas Rimner (8)
  6. Aditi Iyer (6)

More People

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

More Years

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

More Publications

Publishers
  1. American Association of Physicists in Medicine (9)
  2. Elsevier Inc. (8)
  3. IOP Publishing Ltd (3)
  4. Springer (3)
  5. Elsevier B.V. (2)
  6. Elsevier Science, Inc. (1)

Results (26)

Export to EndNote / Excel | PubMed

Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer
    Journal Article

    Jiang, J.; Choi, C. M. S.; Thor, M.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2025)

    Fulltext@MSK | Save
  • Under-representation for female pelvis cancers in commercial auto-segmentation solutions and open-source imaging datasets
    Journal Article

    Thor, M.; Williams, V.; Hajj, C.; Cervino, L.; Veeraraghavan, H.; Elguindi, S.; Tyagi, N.; Shukla-Dave, A.; Moran, J. M.
    Clinical Oncology (2025)

    Fulltext@MSK | Save
  • Deep learning improves registration accuracy for voxel-based radiotherapy outcomes modeling
    Meeting Abstract

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

    Fulltext@MSK | Save
  • Balancing prevalence of contrast and non-contrast computed tomography examples in a limited set and training transformer-based great vessel segmentation
    Meeting Abstract

    Rangnekar, A.; Mankuzhy, N. P.; Thor, M.; Rimner, A.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2024)

    Fulltext@MSK | Save
  • Predicting thoracic toxicity with large vision foundation model using pretreatment data
    Meeting Abstract

    Choi, C.; Jiang, J.; Thor, M.; Rimner, A.; Deasy, J. O.; Kim, J. S.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2024)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • Determining the dosimetric accuracy of deep learning-based fully automated registration-segmentation approach for thoracic cancer organs-at-risk contouring
    Meeting Abstract

    Choi, C.; Thor, M.; Jiang, J.; Rimner, A.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2023)

    Fulltext@MSK | Save
  • Under-representation for female cancers in commercial auto-segmentation solutions and open-source imaging datasets
    Meeting Abstract

    Thor, M.; Williams, V. M.; Veeraraghavan, H.; Hajj, C.; Tyagi, N.; Dave, A.; Cervino, L. I.; Moran, J. M.
    International Journal of Radiation Oncology, Biology, Physics (2023)

    Fulltext@MSK | Save
  • Clinical feasibility of deep learning-based CT during treatment CBCT tumor registration-segmentation in thoracic radiotherapy (RT)
    Meeting Abstract

    Choi, C.; Mankuzhy, N. P.; Jiang, J.; Elguindi, S.; Thor, M.; Rimner, A.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2023)

    Fulltext@MSK | Save
  • An AI-based approach to inter-subject deformable image registration
    Meeting Abstract

    Jiang, J.; Thor, M.; Rimner, A.; Deasy, J.; Veeraraghavan, H.
    Medical Physics (2022)

    Fulltext@MSK | Save