Search Within

Timothy D'Alfonso

  1. "David Ho"
Formats
  1. Journal Article (2)
  2. Meeting Abstract (2)
Groups
  1. Department of Pathology and Laboratory Medicine (4)
  2. DigITs Research Group (2)
  3. Medical Physics (2)
  4. Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center (1)
  5. Body Imaging Service (1)
  6. Breast Imaging Service (1)

More Groups

People
  1. David Ho (4)
  2. Anne Grabenstetter (3)
  3. Dig Vijay Kumar Yarlagadda (3)
  4. Lee Tan (3)
  5. Matthew Hanna (3)
  6. Peter Ntiamoah (3)

More People

Years
  1. 2022 (1)
  2. 2021 (2)
  3. 2020 (1)
Publications
  1. Cancer Research (1)
  2. Computerized Medical Imaging and Graphics (1)
  3. Laboratory Investigation (1)
  4. Modern Pathology (1)
Publishers
  1. American Association for Cancer Research (1)
  2. Elsevier Inc. (1)
  3. Nature Publishing Group (1)
  4. Nature Research (1)

Results (4)

Export to EndNote / Excel | PubMed

Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Prediction of neoadjuvant treatment outcomes with multimodal data integration in breast cancer
    Meeting Abstract

    Khosravi, P.; Sutton, E. J.; Jee, J.; Dalfonso, T.; Fong, C. J.; Rose, D.; Da Silva, E. M.; Kohli, A.; Ho, D. J.; Ahmed, M. S.; more...
    Cancer Research (2022)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • Machine learning as an ancillary tool in the assessment of shaved margins for breast carcinoma excision specimens
    Meeting Abstract

    D'Alfonso, T.; Ho, D.; Hanna, M.; Grabenstetter, A.; Yarlagadda, D. V. K.; Geneslaw, L.; Ntiamoah, P.; Tan, L.
    Laboratory Investigation (2020)

    Fulltext@MSK | Save