9 Results

People

  1. Veeraraghavan
    Veeraraghavan
  2. Deasy
    Deasy
  3. Hu
    Hu
  4. Jiang
    Jiang
  5. Mageras
    Mageras
  6. Tyagi
    Tyagi
  7. Apte
    Apte
  8. Bermudez
    Bermudez
  9. Berry
    Berry
  10. Crane
    Crane

Groups

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

More Groups

People
  1. Harini Veeraraghavan (9)
  2. Joseph Deasy (7)
  3. Jue Jiang (5)
  4. Neelam Tyagi (4)
  5. Yu-Chi Hu (3)
  6. Andreas Rimner (2)

More People

Years
  1. 2023 (1)
  2. 2022 (1)
  3. 2021 (1)
  4. 2020 (1)
  5. 2019 (3)
  6. 2018 (1)

More Years

Publications
  1. Lecture Notes in Computer Science (4)
  2. IEEE Transactions on Medical Imaging (1)
  3. International Symposium on Biomedical Imaging. Proceedings (1)
  4. Journal of Medical Imaging (1)
  5. Medical Physics (1)
  6. Physics in Medicine and Biology (1)
Publishers
  1. Springer (4)
  2. IEEE (2)
  3. American Association of Physicists in Medicine (1)
  4. IOP Publishing Ltd (1)
  5. SPIE (1)

Results (9)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • A model for gastrointestinal tract motility in a 4D imaging phantom of human anatomy
    Journal Article

    Subashi, E.; Segars, P.; Veeraraghavan, H.; Deasy, J.; Tyagi, N.
    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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  • Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering
    Journal Article

    Oh, J. H.; Apte, A. P.; Katsoulakis, E.; Riaz, N.; Hatzoglou, V.; Yu, Y.; Mahmood, U.; Veeraraghavan, H.; Pouryahya, M.; Iyer, A.; more...
    Journal of Medical Imaging (2021)

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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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  • 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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  • Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets
    Journal Article

    Um, H.; Tixier, F.; Bermudez, D.; Deasy, J. O.; Young, R. J.; Veeraraghavan, H.
    Physics in Medicine and Biology (2019)

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  • 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)

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  • 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)

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  • Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT
    Conference Paper

    Fehr, D.; Schmidtlein, C. R.; Hwang, S.; Deasy, J. O.; Veeraraghavan, H.
    IEEE (2016)

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