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    Kingham

Groups

  1. Sloan Kettering Institute Postdocs (6)
  2. Biostatistics Service (1)
  3. Body Imaging Service (1)
  4. Center for Pancreatic Cancer Research (1)
  5. Epidemiology and Biostatistics (1)
  6. GME, Surgery (1)
  7. Graduate Medical Education (1)
  8. Population Sciences Research Program (1)
  9. Radiology, Department of (1)
  10. Surgery (1)
Search Within
  1. "Jayasree Chakraborty"
Formats
  1. Conference Paper (3)
  2. Journal Article (2)
  3. Review (1)
Groups
  1. Sloan Kettering Institute Postdocs (6)
  2. Biostatistics Service (1)
  3. Body Imaging Service (1)
  4. Center for Pancreatic Cancer Research (1)
  5. Epidemiology and Biostatistics (1)
  6. GME, Surgery (1)

More Groups

People
  1. Jayasree Chakraborty (6)
  2. Abhishek Midya (1)
  3. Amber Simpson (1)
  4. Jian Zheng (1)
  5. John Creasy (1)
  6. Kate Harrington (1)

More People

Years
  1. 2023 (2)
  2. 2019 (2)
  3. 2018 (1)
  4. 2017 (1)
Publications
  1. IEEE Journal of Biomedical and Health Informatics (2)
  2. 2017 4th International Conference on Signal Processing and Integrated Networks (1)
  3. Advanced Computational and Communication Paradigms (ICACCP), International Conference on (1)
  4. IEEE Access (1)
  5. IEEE Region 10 Annual International Conference, Proceedings/TENCON (1)

Results (6)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Automatic segmentation of pancreas and pancreatic tumor: A review of a decade of research
    Review

    Ghorpade, H.; Jagtap, J.; Patil, S.; Kotecha, K.; Abraham, A.; Horvat, N.; Chakraborty, J.
    IEEE Access (2023)

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  • Computerized diagnosis of liver tumors from CT scans using a deep neural network approach
    Journal Article

    Midya, A.; Chakraborty, J.; Srouji, R.; Narayan, R. R.; Boerner, T.; Zheng, J.; Pak, L. M.; Creasy, J. M.; Escobar, L. A.; Harrington, K. A.; more...
    IEEE Journal of Biomedical and Health Informatics (2023)

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  • A deep adaptive convolutional network for brain tumor segmentation from multimodal MR images
    Conference Paper

    Ghosal, P.; Reddy, S.; Sai, C.; Pandey, V.; Chakraborty, J.; Nandi, D.
    IEEE (2019)

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  • Brain tumor classification using ResNet-101 based squeeze and excitation deep neural network
    Conference Paper

    Ghosal, P.; Nandanwar, L.; Kanchan, S.; Bhadra, A.; Chakraborty, J.; Nandi, D.
    IEEE (2019)

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  • Neighborhood structural similarity mapping for the classification of masses in mammograms
    Journal Article

    Rabidas, R.; Midya, A.; Chakraborty, J.
    IEEE Journal of Biomedical and Health Informatics (2018)

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  • Texture analysis of gradient images for benign-malignant mass classification
    Conference Paper

    Rabidas, R.; Midya, A.; Chakraborty, J.; Arif, W.
    IEEE (2017)

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