11 Results

People

  1. Veeraraghavan
    Veeraraghavan
  2. Deasy
    Deasy
  3. Jiang
    Jiang
  4. Tyagi
    Tyagi
  5. Hu
    Hu
  6. Cervino Arriba
    Cervino Arriba
  7. Hunt
    Hunt
  8. Rimner
    Rimner
  9. Zhang
    Zhang
  10. Aristophanous
    Aristophanous

Groups

  1. Medical Physics (11)
  2. Radiotherapy Physics Service (11)
  3. Sloan Kettering Institute Postdocs (11)
  4. Radiation Oncology, Department of (8)
  5. Graduate Medical Education (3)
  6. GME, Radiation Oncology (2)
  7. Survivorship Research (2)
  8. Center for Pancreatic Cancer Research (1)
  9. GME, Medical Physics (1)
  10. GME, Radiology (1)
  1. "deep learning"
  2. "Harini Veeraraghavan"
  3. "Radiotherapy Physics Service"
Formats
  1. Journal Article (9)
  2. Conference Paper (2)
Groups
  1. Medical Physics (11)
  2. Radiotherapy Physics Service (11)
  3. Sloan Kettering Institute Postdocs (11)
  4. Radiation Oncology, Department of (8)
  5. Graduate Medical Education (3)
  6. GME, Radiation Oncology (2)

More Groups

People
  1. Harini Veeraraghavan (11)
  2. Jue Jiang (9)
  3. Joseph Deasy (8)
  4. Neelam Tyagi (8)
  5. Yu-Chi Hu (5)
  6. Andreas Rimner (4)

More People

Years
  1. 2023 (2)
  2. 2022 (1)
  3. 2021 (2)
  4. 2020 (1)
  5. 2019 (4)
  6. 2018 (1)
Publications
  1. Medical Physics (4)
  2. Lecture Notes in Computer Science (2)
  3. Physics and Imaging in Radiation Oncology (2)
  4. Physics in Medicine and Biology (2)
  5. Radiotherapy and Oncology (1)
Publishers
  1. American Association of Physicists in Medicine (4)
  2. Elsevier B.V. (2)
  3. IOP Publishing Ltd (2)
  4. Springer (2)
  5. Elsevier Inc. (1)

Results (11)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer
    Journal Article

    Simeth, J.; Jiang, J.; Nosov, A.; Wibmer, A.; Zelefsky, M.; Tyagi, N.; Veeraraghavan, H.
    Medical Physics (2023)

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  • Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
    Journal Article

    Jiang, J.; Hong, J.; Tringale, K.; Reyngold, M.; Crane, C.; Tyagi, N.; Veeraraghavan, H.
    Medical Physics (2023)

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  • Nested block self-attention multiple resolution residual network for multiorgan segmentation from CT
    Journal Article

    Jiang, J.; Elguindi, S.; Berry, S. L.; Onochie, I.; Cervino, L.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2022)

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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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  • 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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  • Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation
    Journal Article

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Wang, C.; Lee, N.; Deasy, J. O.; Sean, B.; Veeraraghavan, H.
    Physics in Medicine and Biology (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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  • 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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  • 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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  • Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network
    Journal Article

    Wang, C.; Tyagi, N.; Rimner, A.; Hu, Y. C.; Veeraraghavan, H.; Li, G.; Hunt, M.; Mageras, G.; Zhang, P.
    Radiotherapy and Oncology (2019)

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