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Jayasree Chakraborty

Formats
  1. Journal Article (33)
  2. Conference Paper (16)
  3. Meeting Abstract (11)
  4. Review (6)
  5. Miscellaneous (2)
  6. Editorial (1)
Groups
  1. Sloan Kettering Institute Postdocs (69)
  2. Center for Pancreatic Cancer Research (46)
  3. Radiology, Department of (46)
  4. Body Imaging Service (45)
  5. Surgery (45)
  6. Biostatistics Service (31)

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People
  1. Kinh Gian Do (37)
  2. William Jarnagin (35)
  3. Mithat Gonen (30)
  4. Michael D'Angelica (26)
  5. T Peter Kingham (26)
  6. Amber Simpson (25)

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Years
  1. 2025 (5)
  2. 2024 (11)
  3. 2023 (9)
  4. 2022 (7)
  5. 2021 (4)
  6. 2020 (4)

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Publications
  1. Annals of Surgical Oncology (9)
  2. Progress in Biomedical Optics and Imaging - Proceedings of SPIE (7)
  3. Abdominal Radiology (6)
  4. Proceedings of SPIE (5)
  5. Journal of the American College of Surgeons (4)
  6. HPB (3)

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Publishers
  1. Springer (19)
  2. SPIE (15)
  3. Elsevier Science, Inc. (8)
  4. IEEE (6)
  5. American Society of Clinical Oncology (4)
  6. American Association for Cancer Research (2)

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Results (69)

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  • Quantitative imaging features of preoperative computed tomography images predict post-hepatectomy liver insufficiency: A multi-institutional expansion cohort
    Meeting Abstract

    Pak, L. M.; Chakraborty, J.; Chapman, W. C.; Do, R. K.; Koerkamp, B.; Lee, S. Y.; Massani, M.; van der Stok, E. P.; Jarnagin, W. R.; Simpson, A. L.
    Journal of the American College of Surgeons (2017)

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  • Preoperative prediction of microvascular invasion in hepatocellular carcinoma using quantitative image analysis
    Journal Article

    Zheng, J.; Chakraborty, J.; Chapman, W. C.; Gerst, S.; Gonen, M.; Pak, L. M.; Jarnagin, W. R.; DeMatteo, R. P.; Do, R. K. G.; Simpson, A. L.; more...
    Journal of the American College of Surgeons (2017)

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  • Video error concealment through 3-D face model
    Journal Article

    Midya, A.; Chakraborty, J.; Ranjan, R.
    Multimedia Tools and Applications (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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  • Preoperative assessment of microvascular invasion in hepatocellular carcinoma
    Conference Paper

    Chakraborty, J.; Zheng, J.; Gönen, M.; Jarnagin, W. R.; Dematteo, R. P.; Do, R. K. G.; Simpson, A. L.
    SPIE (2017)

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  • Analysis of 2D singularities for mammographic mass classification
    Journal Article

    Rabidas, R.; Chakraborty, J.; Midya, A.
    IET Computer Vision (2017)

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  • A study of different texture features based on local operator for benign-malignant mass classification
    Conference Paper

    Rabidas, R.; Midya, A.; Chakraborty, J.; Arif, W.
    Elsevier Inc. (2016)

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  • Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy
    Conference Paper

    Chakraborty, J.; Langdon-Embry, L.; Escalon, J. G.; Allen, P. J.; Lowery, M. A.; O'Reilly, E. M.; Do, R. K. G.; Simpson, A. L.
    SPIE (2016)

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