Search Within

Marc-Henri Jean

Formats
  1. Meeting Abstract (6)
  2. Journal Article (3)
  3. Conference Paper (1)
Groups
  1. Department of Pathology and Laboratory Medicine (10)
  2. Center for Hematologic Malignancies (5)
  3. Center for Pancreatic Cancer Research (5)
  4. Pediatric Leukemia (5)
  5. Medical Physics (3)
  6. Orthopaedic Service (3)

More Groups

People
  1. Brie Kezlarian (5)
  2. Chad Vanderbilt (5)
  3. Meera Hameed (5)
  4. Oscar Lin (5)
  5. David Ho (4)
  6. Dilip Giri (4)

More People

Years
  1. 2023 (1)
  2. 2022 (5)
  3. 2021 (3)
  4. 2020 (1)
Publications
  1. Modern Pathology (4)
  2. Laboratory Investigation (3)
  3. American Journal of Pathology (1)
  4. Journal of the American Medical Informatics Association (1)
  5. Lecture Notes in Computer Science (1)
Publishers
  1. Nature Research (4)
  2. Nature Publishing Group (3)
  3. Elsevier Science, Inc. (1)
  4. Oxford University Press (1)
  5. Springer (1)

Results (10)

Export to EndNote / Excel | PubMed

Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Deep learning–based objective and reproducible osteosarcoma chemotherapy response assessment and outcome prediction
    Journal Article

    Ho, D. J.; Agaram, N. P.; Jean, M. H.; Suser, S. D.; Chu, C.; Vanderbilt, C. M.; Meyers, P. A.; Wexler, L. H.; Healey, J. H.; Fuchs, T. J.; more...
    American Journal of Pathology (2023)

    Fulltext@MSK | Save
  • 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.
    Modern Pathology (2022)

    Fulltext@MSK | Save
  • Paucicellular cytology specimens: Performance comparison between 2 whole slide scanners
    Meeting Abstract

    Dehghani, A.; Jean, M. H.; Lahori, M.; Ardon, O.; Lin, O.; Kezlarian, B.
    Modern Pathology (2022)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • Paucicellular cytology specimens: Performance comparison between 2 whole slide scanners
    Meeting Abstract

    Dehghani, A.; Jean, M. H.; Lahori, M.; Ardon, O.; Lin, O.; Kezlarian, B.
    Laboratory Investigation (2022)

    Fulltext@MSK | Save
  • Digital validation of breast biomarkers (ER, PR, AR, and HER2) in cytology specimens using three different scanners
    Journal Article

    Salama, A. M.; Hanna, M. G.; Giri, D.; Kezlarian, B.; Jean, M. H.; Lin, O.; Vallejo, C.; Brogi, E.; Edelweiss, M.
    Modern Pathology (2022)

    Fulltext@MSK | Save
  • Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center
    Journal Article

    Schüffler, P. J.; Geneslaw, L.; Yarlagadda, D. V. K.; Hanna, M. G.; Samboy, J.; Stamelos, E.; Vanderbilt, C.; Philip, J.; Jean, M. H.; Corsale, L.; more...
    Journal of the American Medical Informatics Association (2021)

    Fulltext@MSK | Save
  • Digital validation of breast biomarkers (ER, PR, AR and HER2) in cytology specimens using three different scanners
    Meeting Abstract

    Salama, A.; Hanna, M.; Kezlarian, B.; Jean, M. H.; Lin, O.; Vallejo, C.; Giri, D.; Brogi, E.; Edelweiss, M.
    Modern Pathology (2021)

    Fulltext@MSK | Save
  • Digital validation of breast biomarkers (ER, PR, AR and HER2) in cytology specimens using three different scanners
    Meeting Abstract

    Salama, A.; Hanna, M.; Kezlarian, B.; Jean, M. H.; Lin, O.; Vallejo, C.; Giri, D.; Brogi, E.; Edelweiss, M.
    Laboratory Investigation (2021)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save