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Rabia Haq

  1. "Population Sciences Research Program"
Formats
  1. Journal Article (3)
  2. Meeting Abstract (2)
  3. Conference Paper (1)
Groups
  1. Medical Physics (6)
  2. Population Sciences Research Program (6)
  3. Sloan Kettering Institute Postdocs (6)
People
  1. Aditya Apte (6)
  2. Joseph Deasy (6)
  3. Maria Thor (6)
  4. Alexandra Elena Hotca-Cho (3)
  5. Andreas Rimner (3)
  6. Aditi Iyer (2)

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Years
  1. 2021 (2)
  2. 2020 (2)
  3. 2019 (2)
Publications
  1. Medical Physics (2)
  2. International Journal of Radiation Oncology, Biology, Physics (1)
  3. Lecture Notes in Computer Science (1)
  4. Physica Medica (1)
  5. Physics and Imaging in Radiation Oncology (1)
Publishers
  1. American Association of Physicists in Medicine (2)
  2. Elsevier Inc. (2)
  3. Elsevier B.V. (1)
  4. Springer (1)

Results (6)

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  • Multi-scale deep learning CT liver and spleen segmentation network for radiation-induced toxicity outcomes analysis
    Meeting Abstract

    Haq, R.; Onochie, I.; Apte, A.; Thor, M.; Deasy, J.
    Medical Physics (2021)

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  • Using auto-segmentation to reduce contouring and dose inconsistency in clinical trials: The simulated impact on RTOG 0617
    Journal Article

    Thor, M.; Apte, A.; Haq, R.; Iyer, A.; LoCastro, E.; Deasy, J. O.
    International Journal of Radiation Oncology, Biology, Physics (2021)

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  • Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes analysis
    Journal Article

    Haq, R.; Hotca, A.; Apte, A.; Rimner, A.; Deasy, J. O.; Thor, M.
    Physics and Imaging in Radiation Oncology (2020)

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  • Library of deep-learning image segmentation and outcomes model-implementations
    Journal Article

    Apte, A. P.; Iyer, A.; Thor, M.; Pandya, R.; Haq, R.; Jiang, J.; LoCastro, E.; Shukla-Dave, A.; Sasankan, N.; Xiao, Y.; more...
    Physica Medica (2020)

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  • Cardio-pulmonary substructure segmentation of CT images using convolutional neural networks
    Conference Paper

    Haq, R.; Hotca, A.; Apte, A.; Rimner, A.; Deasy, J. O.; Thor, M.
    Springer (2019)

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  • Development and validation of deep learning segmentation network for cardio-pulmonary substructure segmentation
    Meeting Abstract

    Haq, R.; Hotca-Cho, A.; Apte, A.; Rimner, A.; Deasy, J.; Thor, M.
    Medical Physics (2019)

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