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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)


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  • Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
    Journal Article

    Boehm, K. M.; Aherne, E. A.; Ellenson, L.; Nikolovski, I.; Alghamdi, M.; Vázquez-García, I.; Zamarin, D.; Roche, K. L.; Liu, Y.; Patel, D.; more...
    Nature Cancer (2022)

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  • Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation
    Journal Article

    Jiang, J.; Rimner, A.; Deasy, J. O.; Veeraraghavan, H.
    IEEE Transactions on Medical Imaging (2022)

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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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  • Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT
    Journal Article

    Iyer, A.; Thor, M.; Onochie, I.; Hesse, J.; Zakeri, K.; LoCastro, E.; Jiang, J.; Veeraraghavan, H.; Elguindi, S.; Lee, N. Y.; more...
    Physics in Medicine and Biology (2022)

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  • Deep learning from small labeled datasets applied to medical image analysis
    Book Section

    Veeraraghavan, H.; Jiang, J.
    In El-Baz, A. S.; Suri, J. S. (Eds.) State of the Art in Neural Networks and Their Applications: Volume 1 (2021)

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  • MRI radiomic features of radiation induced cardiac toxicity and the effects of c-GAS/STING signaling
    Meeting Abstract

    Moore, Z. R.; Patel, S.; Adnan, M.; Chavez, V.; Lekaye, C. C.; Shamseddine, A.; Chan, A. T.; Veeraraghavan, H.; Schmitt, A.
    International Journal of Radiation Oncology, Biology, Physics (2021)

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  • Automatic segmentation of brain metastases using T1 magnetic resonance and computed tomography images
    Journal Article

    Hsu, D. G.; Ballangrud, Å.; Shamseddine, A.; Deasy, J. O.; Veeraraghavan, H.; Cervino, L.; Beal, K.; Aristophanous, M.
    Physics in Medicine and Biology (2021)

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  • Inter-fraction motion assessment and accumulated dose quantification of upper GI organs during MR-guided ablative SBRT treatment
    Meeting Abstract

    Alam, S.; Veeraraghavan, H.; Tringale, K.; Amoateng, E.; Crane, C.; Tyagi, N.
    Medical Physics (2021)

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  • Decreasing NTCP toxicity in lung cancer RT by reducing PTV margins using a combined deep learning auto-segmentation and automated treatment planning approach
    Meeting Abstract

    Thor, M.; Veeraraghavan, H.; Jiang, J.; Zarepisheh, M.; Rimner, A.; Deasy, J.
    Medical Physics (2021)

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  • Synthetic lung MRI for auto-segmentation using Unet training: Supervised cross-domain adaptation from CT to MRI
    Meeting Abstract

    Liu, Y.; Jiang, J.; Tyagi, N.; Veeraraghavan, H.; Li, G.; Deasy, J.; Cervino, L.
    Medical Physics (2021)

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