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Abhishek Midya

Formats
  1. Journal Article (12)
  2. Conference Paper (3)
  3. Meeting Abstract (1)
  4. Miscellaneous (1)
Groups
  1. Sloan Kettering Institute Postdocs (17)
  2. Body Imaging Service (12)
  3. Center for Pancreatic Cancer Research (12)
  4. Radiology, Department of (12)
  5. Biostatistics Service (11)
  6. Epidemiology and Biostatistics (11)

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People
  1. Jayasree Chakraborty (17)
  2. Kinh Gian Do (12)
  3. Mithat Gonen (11)
  4. Amber Simpson (9)
  5. Peter Allen (7)
  6. William Jarnagin (7)

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

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Publications
  1. Annals of Surgical Oncology (3)
  2. Proceedings of SPIE (3)
  3. European Radiology (2)
  4. Journal of Circuits, Systems and Computers (2)
  5. Abdominal Radiology (1)
  6. Academic Radiology (1)

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Publishers
  1. Springer (6)
  2. SPIE (4)
  3. World Scientific Publishing Company (2)
  4. American Association of Physicists in Medicine (1)
  5. American Society of Clinical Oncology (1)
  6. Elsevier Inc. (1)

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Results (17)

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  • Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging
    Journal Article

    Perrin, T.; Midya, A.; Yamashita, R.; Chakraborty, J.; Saidon, T.; Jarnagin, W. R.; Gonen, M.; Simpson, A. L.; Do, R. K. G.
    Abdominal Radiology (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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  • Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors
    Meeting Abstract

    Pulvirenti, A.; Chakraborty, J.; Yamashita, R.; Lawrence, S. A.; McIntyre, C. A.; Midya, A.; Koszalka, M. A.; Gonen, M.; Klimstra, D. S.; Reidy, D. L.; more...
    Annals of Surgical Oncology (2018)

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  • Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors
    Conference Paper

    Chakraborty, J.; Pulvirenti, A.; Yamashita, R.; Midya, A.; Gönen, M.; Klimstra, D. S.; Reidy, D. L.; Allen, P. J.; Do, R. K. G.; Simpson, A. L.
    SPIE (2018)

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  • Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification
    Conference Paper

    Rabidas, R.; Midya, A.; Chakraborty, J.; Sadhu, A.; Arif, W.
    SPIE (2018)

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  • Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma
    Conference Paper

    Midya, A.; Chakraborty, J.; Pak, L. M.; Zheng, J.; Jarnagin, W. R.; Do, R. K. G.; Simpson, A. L.
    SPIE (2018)

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  • Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility
    Journal Article

    Midya, A.; Chakraborty, J.; Gönen, M.; Do, R. K. G.; Simpson, A. L.
    Journal of Medical Imaging (2018)

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