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Michael H Roehrl

Formats
  1. Meeting Abstract (71)
  2. Journal Article (53)
  3. Review (2)
  4. Editorial (1)
Groups
  1. Center for Pancreatic Cancer Research (127)
  2. Sloan Kettering Institute Postdocs (71)
  3. Department of Pathology and Laboratory Medicine (54)
  4. GSK Faculty (22)
  5. Center for Molecular Imaging and Biotechnology (CMIB) (20)
  6. Human Oncology and Pathogenesis Program (20)

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People
  1. Atsushi Tanaka (35)
  2. Makiko Ogawa (25)
  3. Ronald Hendrickson (22)
  4. Umeshkumar Bhanot (22)
  5. David Klimstra (19)
  6. Joachim Silber (17)

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Years
  1. 2024 (3)
  2. 2023 (6)
  3. 2022 (19)
  4. 2021 (21)
  5. 2020 (27)
  6. 2019 (20)

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Publications
  1. Modern Pathology (32)
  2. Laboratory Investigation (31)
  3. Nature Communications (12)
  4. Annals of Oncology (4)
  5. PLoS ONE (4)
  6. Journal of Clinical Oncology (3)

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Publishers
  1. Nature Publishing Group (47)
  2. Nature Research (32)
  3. Frontiers Media S.A. (5)
  4. Oxford University Press (5)
  5. Cell Press (4)
  6. Public Library of Science (4)

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Results (127)

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  • Deep proteomics of colorectal cancer liver metastases uncovers prognostic factors and highly promising therapeutic targets
    Meeting Abstract

    Tanaka, A.; Zhou, Y.; Hendrickson, R.; Wang, J.; Roehrl, M. H. A.
    Modern Pathology (2019)

    Fulltext@MSK | Save
  • Deep proteomics of gastrointestinal cancers can distinguish tumor location, histology, and new post-genomic subtypes
    Meeting Abstract

    Tanaka, A.; Zhou, Y.; Hendrickson, R.; Wang, J.; Roehrl, M. H. A.
    Modern Pathology (2019)

    Fulltext@MSK | Save
  • Machine learning-based natural language processing for automated extraction and standardized annotation of IHC results from free text pathology reports
    Meeting Abstract

    Kim, Y. S.; Roehrl, M. H. A.
    Modern Pathology (2019)

    Fulltext@MSK | Save
  • Digital imaging for systematic validation of spatially annotated mirror-image simultaneous flash frozen and FFPE tissue banking for research
    Meeting Abstract

    Bhanot, U.; Mariano, M. C.; Lin, E.; McNeil, P.; Carrillo, D.; Facey, J. A.; Sharpe, P.; Alhamid, N.; Ruh, P.; Barnett, A.; more...
    Modern Pathology (2019)

    Fulltext@MSK | Save
  • Understanding the metastatic process by deep proteomic analysis of primary colon cancers and matched liver metastases using clinical FFPE tissues
    Meeting Abstract

    Zhou, Y.; Tanaka, A.; Hendrickson, R.; Wang, J.; Roehrl, M. H. A.
    Modern Pathology (2019)

    Fulltext@MSK | Save
  • Developing a robust sample preparation procedure for deep fourier-transform mass spectrometric profiling of formalin-fixed paraffin-embedded clinical tissue specimens
    Meeting Abstract

    Zhou, Y.; Tanaka, A.; Hendrickson, R.; Wang, J.; Roehrl, M. H. A.
    Laboratory Investigation (2019)

    Fulltext@MSK | Save
  • Understanding the metastatic process by deep proteomic analysis of primary colon cancers and matched liver metastases using clinical FFPE tissues
    Meeting Abstract

    Zhou, Y.; Tanaka, A.; Hendrickson, R.; Wang, J.; Roehrl, M. H. A.
    Laboratory Investigation (2019)

    Fulltext@MSK | Save
  • Deep proteomics of colorectal cancer liver metastases uncovers prognostic factors and highly promising therapeutic targets
    Meeting Abstract

    Tanaka, A.; Zhou, Y.; Hendrickson, R.; Wang, J.; Roehrl, M. H. A.
    Laboratory Investigation (2019)

    Fulltext@MSK | Save
  • Deep proteomics of gastrointestinal cancers can distinguish tumor location, histology, and new post-genomic subtypes
    Meeting Abstract

    Tanaka, A.; Zhou, Y.; Hendrickson, R.; Wang, J.; Roehrl, M. H. A.
    Laboratory Investigation (2019)

    Fulltext@MSK | Save
  • Machine learning-based natural language processing for automated extraction and standardized annotation of IHC results from free text pathology reports
    Meeting Abstract

    Kim, Y. S.; Roehrl, M. H. A.
    Laboratory Investigation (2019)

    Fulltext@MSK | Save