8 Results

People

  1. Veeraraghavan
    Veeraraghavan
  2. Deasy
    Deasy
  3. Apte
    Apte
  4. Iyer
    Iyer
  5. Hunt
    Hunt
  6. Haq
    Haq
  7. Bermudez
    Bermudez
  8. Berry
    Berry
  9. Jiang
    Jiang
  10. Mellinghoff
    Mellinghoff

Groups

  1. Medical Physics (8)
  2. Sloan Kettering Institute Postdocs (8)
  3. Radiotherapy Physics Service (6)
  4. GSK Faculty (2)
  5. Human Oncology and Pathogenesis Program (2)
  6. Neuroradiology Service (2)
  7. Radiology, Department of (2)
  8. Tow Center for Developmental Oncology (TCDO) (2)
  9. Population Sciences Research Program (1)
  10. Radiation Oncology, Department of (1)
  1. "Meeting abstract"
  2. "Medical Physics"
  3. "2018"
  4. "Medical Physics"
  5. "Harini Veeraraghavan"
Formats
  1. Meeting Abstract (8)
Groups
  1. Medical Physics (8)
  2. Sloan Kettering Institute Postdocs (8)
  3. Radiotherapy Physics Service (6)
  4. GSK Faculty (2)
  5. Human Oncology and Pathogenesis Program (2)
  6. Neuroradiology Service (2)

More Groups

People
  1. Harini Veeraraghavan (8)
  2. Joseph Deasy (7)
  3. Aditi Iyer (5)
  4. Aditya Apte (5)
  5. Margie Hunt (4)
  6. Rabia Haq (3)

More People

Years
  1. 2018 (8)
Publications
  1. Medical Physics (8)
Publishers
  1. American Association of Physicists in Medicine (8)

Results (8)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Impact of image preprocessing methods on the robustness of MRI-based radiomic classifiers for glioblastoma
    Meeting Abstract

    Um, H.; Tixier, F.; Bermudez, D.; Iyer, A.; Apte, A.; Deasy, J.; Mellinghoff, I.; Young, R.; Veeraraghavan, H.
    Medical Physics (2018)

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  • Complementary value of MRI-radiomics features and molecular biomarkers in glioblastoma to predict overall survival
    Meeting Abstract

    Tixier, F.; Um, H.; Bermudez, D.; Iyer, A.; Apte, A.; Deasy, J.; Mellinghoff, I.; Young, R.; Veeraraghavan, H.
    Medical Physics (2018)

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  • Conditional generative adversarial networks (cGANs) for magnetic resonance (MR) based synthetic computed tomography (sCT) images in head and neck dose calculations
    Meeting Abstract

    Klages, P.; Jiang, J.; Farjam, R.; Deasy, J.; Hunt, M.; Veeraraghavan, H.; Tyagi, N.
    Medical Physics (2018)

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  • Best in physics (Joint imaging-therapy): Deep learning mapping of CT to MRI for longitudinal tracking of lung tumors for MRI-guided radiotherapy
    Meeting Abstract

    Jiang, J.; Hu, Y.; Tyagi, N.; Zhang, P.; Rimner, A.; Deasy, J.; Mageras, G.; Veeraraghavan, H.
    Medical Physics (2018)

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  • Machine learning-based post-processing method for improved segmentation of parotid glands
    Meeting Abstract

    Iyer, A.; Fontenla, S.; Haq, R.; Veeraraghavan, H.; Oh, J.; Mechalakos, J.; Hunt, M.; Deasy, J.; Apte, A.
    Medical Physics (2018)

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  • Interactive refinement of head and neck structures using multi-atlas based probabilistic segmentation maps
    Meeting Abstract

    Haq, R.; Berry, S.; Iyer, A.; Apte, A.; Hunt, M.; Deasy, J.; Veeraraghavan, H.
    Medical Physics (2018)

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  • Using knowledge based planning to determine whether geometric variability in segmentation correlates with dosimetric variability
    Meeting Abstract

    Berry, S.; Senra, C.; Haq, R.; Veeraraghavan, H.
    Medical Physics (2018)

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  • Bagged Atlas Based Segmentation (BABS): Bagging atlas segmentations from multiple image representations
    Meeting Abstract

    Apte, A.; Iyer, A.; van Dijk, L. V.; Thor, M.; Veeraraghavan, H.; Fontenla, S.; Oh, J.; Mechalakos, J.; Hunt, M.; Deasy, J.
    Medical Physics (2018)

    Fulltext@MSK | Save