Search Results - Seidensticker, Mathew T.

  • Showing 1 - 7 results of 7
Refine Results
  1. 1
    A Worldwide Review of Snowy Owl Feeding Ecology: The Importance of Lemmings and Voles in a Changing Climate

    A Worldwide Review of Snowy Owl Feeding Ecology: The Importance of Lemmings and Voles in a Changing Climate by Holt, Denver W., Larson, Matthew D., Seidensticker, Mathew T., Hiro, Stephen P.

    Get full text
    Items that this one cites
    Article
    Save to List
    Saved in:
  2. 2
    Do the evolutionary interactions between moths and bats promote niche partitioning between bats and birds?

    Do the evolutionary interactions between moths and bats promote niche partitioning between bats and birds? by Bullington, Lorinda S., Seidensticker, Mathew T., Schwab, Nathan, Ramsey, Philip W., Stone, Kate

    Published in Ecology and evolution
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    GROWTH AND PLUMAGE DEVELOPMENT OF NESTLING LONG-EARED OWLS

    GROWTH AND PLUMAGE DEVELOPMENT OF NESTLING LONG-EARED OWLS by Seidensticker, Mathew T, Flockhart, D. T Tyler, Holt, Denver W, Gray, Kathy

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Breeding Status of Flammulated Owls in Montana

    Breeding Status of Flammulated Owls in Montana by Seidensticker, Mathew T, Holt, Denver W, Larson, Matthew D

    Get full text
    Items that this one cites
    Article
    Save to List
    Saved in:
  5. 5
    Growth and Plumage Development of Nestling Long-Eared Owls

    Growth and Plumage Development of Nestling Long-Eared Owls by Seidensticker, Mathew T., Flockhart, D. T Tyler, Holt, Denver W., Gray, Kathy

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  6. 6
    THU-118 - Application of deep learning auto-segmentation and unsupervised machine learning in developing a radiomic prognostic score to predict disease recurrence post radiofrequency ablation for hepatocellular carcinoma

    THU-118 - Application of deep learning auto-segmentation and unsupervised machine learning in developing a radiomic prognostic score to predict disease recurrence post radiofrequen... by Vithayathil, Mathew, Vaidyanathan, Akshayaa, Ocal, Osman, Fabritius, Matthias, Pech, Maciej, Berg, Thomas, Loewe, Christian, Klümpen, Heinz-Josef, Rockall, Andrea, Woodruff, Henry, Seidensticker, Max, Aboagye, Eric, Ricke, Jens, Sharma, Rohini

    Published in Journal of hepatology
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Application of deep learning auto-segmentation and unsupervised machine learning in developing a radiomic prognostic score to predict disease recurrence post radiofrequency ablation for hepatocellular carcinoma

    Application of deep learning auto-segmentation and unsupervised machine learning in developing a radiomic prognostic score to predict disease recurrence post radiofrequency ablatio... by Vithayathil, Mathew, Vaidyanathan, Akshayaa, Ocal, Osman, Fabritius, Matthias, Pech, Maciej, Berg, Thomas, Loewe, Christian, Klümpen, Heinz-Josef, Rockall, Andrea, Woodruff, Henry, Seidensticker, Max, Aboagye, Eric, Ricke, Jens, Sharma, Rohini

    Published in Journal of hepatology
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: