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David Joon Ho

  1. "Medical Physics"
Formats
  1. Journal Article (2)
  2. Conference Paper (1)
  3. Meeting Abstract (1)
Groups
  1. Department of Pathology and Laboratory Medicine (4)
  2. Medical Physics (4)
  3. Center for Pancreatic Cancer Research (2)
  4. DigITs Research Group (1)
  5. Orthopaedic Service (1)
  6. Pediatrics, Department of (1)

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People
  1. Thomas Fuchs (4)
  2. Anne Grabenstetter (2)
  3. Chad Vanderbilt (2)
  4. Dig Vijay Kumar Yarlagadda (2)
  5. Lee Tan (2)
  6. Marc-Henri Jean (2)

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Years
  1. 2022 (1)
  2. 2021 (2)
  3. 2020 (1)
Publications
  1. Computerized Medical Imaging and Graphics (1)
  2. Laboratory Investigation (1)
  3. Lecture Notes in Computer Science (1)
  4. Modern Pathology (1)
Publishers
  1. Elsevier Inc. (1)
  2. Nature Publishing Group (1)
  3. Nature Research (1)
  4. Springer (1)

Results (4)

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  • Osteosarcoma patient stratification based on objective and reproducible post-therapy necrosis assessment by pixel-wise deep segmentation
    Meeting Abstract

    Ho, D.; Agaram, N.; Jean, M. H.; Vanderbilt, C.; Healey, J.; Meyers, P.; Fuchs, T.; Hameed, M.
    Laboratory Investigation (2022)

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  • Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens
    Journal Article

    D'Alfonso, T. M.; Ho, D. J.; Hanna, M. G.; Grabenstetter, A.; Yarlagadda, D. V. K.; Geneslaw, L.; Ntiamoah, P.; Fuchs, T. J.; Tan, L. K.
    Modern Pathology (2021)

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  • Deep Multi-Magnification Networks for multi-class breast cancer image segmentation
    Journal Article

    Ho, D. J.; Yarlagadda, D. V. K.; D'Alfonso, T. M.; Hanna, M. G.; Grabenstetter, A.; Ntiamoah, P.; Brogi, E.; Tan, L. K.; Fuchs, T. J.
    Computerized Medical Imaging and Graphics (2021)

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  • Deep interactive learning: An efficient labeling approach for deep learning-based osteosarcoma treatment response assessment
    Conference Paper

    Ho, D. J.; Agaram, N. P.; Schüffler, P. J.; Vanderbilt, C. M.; Jean, M. H.; Hameed, M. R.; Fuchs, T. J.
    Springer (2020)

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