Search Within

Harini Veeraraghavan

Refine Results
Formats
  1. Meeting Abstract (25)
  2. Journal Article (22)
  3. Conference Paper (2)
Groups
  1. Medical Physics (49)
  2. Sloan Kettering Institute Postdocs (25)
  3. Radiology, Department of (23)
  4. Body Imaging Service (19)
  5. Radiotherapy Physics Service (18)
  6. Molecular Imaging and Therapy Service (13)

More Groups

People
  1. Joseph Deasy (32)
  2. Aditya Apte (18)
  3. Evis Sala (10)
  4. Hebert Vargas Alvarez (9)
  5. Margie Hunt (9)
  6. Neelam Tyagi (9)

More People

Years
  1. 2019 (3)
  2. 2018 (13)
  3. 2017 (10)
  4. 2016 (6)
  5. 2015 (13)
  6. 2014 (4)
Publications
  1. Medical Physics (28)
  2. European Radiology (3)
  3. Journal of Magnetic Resonance Imaging (2)
  4. Lecture Notes in Computer Science (2)
  5. Physics in Medicine and Biology (2)
  6. Cancer Immunology Research (1)

More Publications

Publishers
  1. American Association of Physicists in Medicine (28)
  2. Springer (5)
  3. IEEE (2)
  4. IOP Publishing Ltd (2)
  5. Wiley Blackwell (2)
  6. American Association for Cancer Research (1)

More Publishers

Results (49)

Export to EndNote | PubMed

Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Multiple resolution residually connected feature streams for automatic lung tumor segmentation from CT images
    Journal Article

    Jiang, J.; Hu, Y. C.; Liu, C. J.; Halpenny, D.; Hellmann, M. D.; Deasy, J. O.; Mageras, G.; Veeraraghavan, H.
    IEEE Transactions on Medical Imaging (2019)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone
    Journal Article

    Tixier, F.; Um, H.; Bermudez, D.; Iyer, A.; Apte, A.; Graham, M. S.; Nevel, K. S.; Deasy, J. O.; Young, R. J.; Veeraraghavan, H.
    Oncotarget (2019)

    Fulltext@MSK | Save
  • Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017
    Journal Article

    Yang, J.; Veeraraghavan, H.; Armato, S. G. 3rd; Farahani, K.; Kirby, J. S.; Kalpathy-Kramer, J.; van Elmpt, W.; Dekker, A.; Han, X.; Feng, X.; more...
    Medical Physics (2018)

    Fulltext@MSK | Save
  • Tumor-aware, adversarial domain adaptation from CT to MRI for lung cancer segmentation
    Conference Paper

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Zhang, P.; Rimner, A.; Mageras, G. S.; Deasy, J. O.; Veeraraghavan, H.
    Springer (2018)

    Fulltext@MSK | Save
  • Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research
    Journal Article

    Apte, A. P.; Iyer, A.; Crispin-Ortuzar, M.; Pandya, R.; van Dijk, L. V.; Spezi, E.; Thor, M.; Um, H.; Veeraraghavan, H.; Oh, J. H.; more...
    Medical Physics (2018)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save