17 Results

People

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

Groups

  1. Medical Physics (17)
  2. Sloan Kettering Institute Postdocs (16)
  3. Radiation Oncology, Department of (10)
  4. Radiotherapy Physics Service (10)
  5. Graduate Medical Education (5)
  6. GME, Radiation Oncology (4)
  7. Body Imaging Service (2)
  8. Center for Pancreatic Cancer Research (2)
  9. Department of Medicine (2)
  10. Radiology, Department of (2)
  1. "image segmentation"
  2. "Harini Veeraraghavan"
Formats
  1. Journal Article (13)
  2. Conference Paper (4)
Groups
  1. Medical Physics (17)
  2. Sloan Kettering Institute Postdocs (16)
  3. Radiation Oncology, Department of (10)
  4. Radiotherapy Physics Service (10)
  5. Graduate Medical Education (5)
  6. GME, Radiation Oncology (4)

More Groups

People
  1. Harini Veeraraghavan (17)
  2. Jue Jiang (13)
  3. Joseph Deasy (11)
  4. Neelam Tyagi (8)
  5. Yu-Chi Hu (7)
  6. Andreas Rimner (5)

More People

Years
  1. 2023 (2)
  2. 2022 (3)
  3. 2021 (2)
  4. 2020 (5)
  5. 2019 (4)
  6. 2014 (1)
Publications
  1. Medical Physics (5)
  2. Lecture Notes in Computer Science (4)
  3. IEEE Transactions on Medical Imaging (3)
  4. Physics in Medicine and Biology (2)
  5. Breast Cancer Research (1)
  6. Physica Medica (1)

More Publications

Publishers
  1. American Association of Physicists in Medicine (5)
  2. Springer (4)
  3. IEEE (3)
  4. Elsevier Inc. (2)
  5. IOP Publishing Ltd (2)
  6. Biomed Central Ltd (1)

Results (17)


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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  • Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
    Conference Paper

    Jiang, J.; Tyagi, N.; Tringale, K.; Crane, C.; Veeraraghavan, H.
    Springer (2022)

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  • One shot PACS: Patient Specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTS
    Journal Article

    Jiang, J.; Veeraraghavan, H.
    IEEE Transactions on Medical Imaging (2022)

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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 cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation
    Journal Article

    Jiang, J.; Riyahi Alam, S.; Chen, I.; Zhang, P.; Rimner, A.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2021)

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  • PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation-based MRI segmentation
    Journal Article

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Rimner, A.; Lee, N.; Deasy, J. O.; Berry, S.; Veeraraghavan, H.
    IEEE Transactions on Medical Imaging (2020)

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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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  • Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation
    Conference Paper

    Jiang, J.; Veeraraghavan, H.
    Springer (2020)

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