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Lior Gazit

Formats
  1. Journal Article (10)
  2. Meeting Abstract (7)
  3. Conference Paper (2)
Groups
  1. Strategy Analytics (19)
  2. Center for Pancreatic Cancer Research (10)
  3. Department of Medicine (10)
  4. Radiology, Department of (9)
  5. Solid Tumor Oncology Division (9)
  6. Body Imaging Service (8)

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People
  1. Kevin Nicholas (10)
  2. Kinh Gian Do (8)
  3. Stefania Sokolowski (8)
  4. Brett Simon (7)
  5. Diane Reidy (7)
  6. Dmitriy Gorenshteyn (7)

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Years
  1. 2022 (5)
  2. 2021 (2)
  3. 2020 (2)
  4. 2019 (2)
  5. 2018 (5)
  6. 2017 (3)
Publications
  1. Journal of Clinical Oncology (4)
  2. JCO Clinical Cancer Informatics (3)
  3. HPB (2)
  4. Frontiers in Artificial Intelligence (1)
  5. JAMA Network Open (1)
  6. Journal of Oncology Practice (1)

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Publishers
  1. American Society of Clinical Oncology (8)
  2. Elsevier Science, Inc. (3)
  3. American Association of Physicists in Medicine (1)
  4. American Medical Association (1)
  5. Frontiers Research Foundation (1)
  6. Futura Publishing LLC (1)

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Results (19)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis
    Journal Article

    Attiyeh, M. A.; Chakraborty, J.; Gazit, L.; Langdon-Embry, L.; Gonen, M.; Balachandran, V. P.; D'Angelica, M. I.; DeMatteo, R. P.; Jarnagin, W. R.; Kingham, T. P.; more...
    HPB (2019)

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  • Emergency department (ED) presenting symptom clusters for chemotherapy patients
    Meeting Abstract

    Daly, R. M.; Nicholas, K.; Gorenshteyn, D.; Sokolowski, S.; Gazit, L.; Adams, L.; Matays, J.; Katzen, L. L.; Chiu, O. O.; Xiao, H.; more...
    Journal of Clinical Oncology (2018)

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  • Employing electronic health record data to predict risk of ED visits for new patients
    Meeting Abstract

    Daly, R. M.; Gorenshteyn, D.; Gazit, L.; Sokolowski, S.; Nicholas, K.; Perry, C.; Adams, L.; Baldwin, A.; Katzen, L. L.; Chiu, Y. O.; more...
    Journal of Clinical Oncology (2018)

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  • Employing electronic health record data to predict risk of emergency department visits for new patients
    Meeting Abstract

    Daly, R. M.; Gorenshteyn, D.; Gazit, L.; Sokolowski, S.; Nicholas, K.; Perry, C.; Adams, L.; Baldwin, A.; Katzen, L. L.; Chiu, Y. O.; more...
    Journal of Clinical Oncology (2018)

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  • CT radiomics to predict high-risk intraductal papillary mucinous neoplasms of the pancreas
    Journal Article

    Chakraborty, J.; Midya, A.; Gazit, L.; Attiyeh, M.; Langdon-Embry, L.; Allen, P. J.; Do, R. K. G.; Simpson, A. L.
    Medical Physics (2018)

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  • Misery loves company: Presenting symptom clusters to urgent care by patients receiving antineoplastic therapy
    Journal Article

    Daly, B.; Nicholas, K.; Gorenshteyn, D.; Sokolowski, S.; Gazit, L.; Adams, L.; Matays, J.; Katzen, L. L.; Chiu, Y. O.; Xiao, H.; more...
    Journal of Oncology Practice (2018)

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  • Trading cancer for data: Machine learning for cancer diagnosis
    Journal Article

    Gazit, L.
    Workforce Solutions Review (2017)

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  • Behind the cyst: Predicting grade of dysplasia in intraductal papillary mucinous neoplasms (IPMNs) by quantitative image analysis
    Meeting Abstract

    Attiyeh, M. A.; Chakraborty, J.; Gazit, L.; Langdon-Embry, L.; Lawrence, S. A.; D'Angelica, M. I.; DeMatteo, R. P.; Kingham, T. P.; Balachandran, V. P.; Jarnagin, W. R.; more...
    HPB (2017)

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  • Quantification of CT images for the classification of high- and low-risk pancreatic cysts
    Conference Paper

    Gazit, L.; Chakraborty, J.; Attiyeh, M.; Langdon-Embry, L.; Allen, P. J.; Do, R. K. G.; Simpson, A. L.
    SPIE (2017)

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