8 Results

People

  1. Kose
    Kose
  2. Rajadhyaksha
    Rajadhyaksha
  3. Berry
    Berry
  4. Chakraborty
    Chakraborty
  5. Deasy
    Deasy
  6. Halpern
    Halpern
  7. Huang
    Huang
  8. Hu
    Hu
  9. Jiang
    Jiang
  10. Lu
    Lu

Groups

  1. Sloan Kettering Institute Postdocs (5)
  2. Department of Medicine (3)
  3. Dermatology Service (3)
  4. Dermatology (3)
  5. Division of Subspecialty Medicine (3)
  6. Medical Physics (3)
  7. Center for Molecular Imaging and Biotechnology (2)
  8. Radiotherapy Physics Service (2)
  9. Melanoma Disease Management Team (1)
  10. Population Sciences Research Program (1)
  1. "convolutional networks"
Formats
  1. Conference Paper (5)
  2. Journal Article (3)
Groups
  1. Sloan Kettering Institute Postdocs (5)
  2. Department of Medicine (3)
  3. Dermatology (3)
  4. Dermatology Service (3)
  5. Division of Subspecialty Medicine (3)
  6. Medical Physics (3)

More Groups

People
  1. Kivanc Kose (2)
  2. Milind Rajadhyaksha (2)
  3. Allan Halpern (1)
  4. Andreas Rimner (1)
  5. Harini Veeraraghavan (1)
  6. Jayasree Chakraborty (1)

More People

Years
  1. 2023 (1)
  2. 2021 (1)
  3. 2020 (1)
  4. 2019 (2)
  5. 2018 (1)
  6. 2017 (1)

More Years

Publications
  1. Lecture Notes in Computer Science (2)
  2. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (1)
  3. IEEE Region 10 Annual International Conference, Proceedings/TENCON (1)
  4. International Symposium on Biomedical Imaging. Proceedings (1)
  5. Journal of Medical Imaging (1)
  6. Medical Physics (1)

More Publications

Publishers
  1. IEEE (3)
  2. Springer (2)
  3. American Association of Physicists in Medicine (1)
  4. Elsevier B.V. (1)
  5. SPIE (1)

Results (8)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Automatic segmentation of neurovascular bundle on MRI using deep learning based topological modulated network
    Journal Article

    Lei, Y.; Wang, T.; Roper, J.; Tian, S.; Patel, P.; Bradley, J. D.; Jani, A. B.; Liu, T.; Yang, X.
    Medical Physics (2023)

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  • Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors
    Journal Article

    Hirsch, L.; Huang, Y.; Parra, L. C.
    Journal of Medical Imaging (2021)

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  • Deep learning for variational multimodality tumor segmentation in PET/CT
    Journal Article

    Li, L.; Zhao, X.; Lu, W.; Tan, S.
    Neurocomputing (2020)

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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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  • Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation
    Conference Paper

    Jue, J.; Jason, H.; Neelam, T.; Andreas, R.; Sean, B. L.; Joseph, D. O.; Harini, V.
    Springer (2019)

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  • A multiresolution convolutional neural network with partial label training for annotating reflectance confocal microscopy images of skin
    Conference Paper

    Bozkurt, A.; Kose, K.; Alessi-Fox, C.; Gill, M.; Dy, J.; Brooks, D.; Rajadhyaksha, M.
    Springer (2018)

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  • Delineation of skin strata in reflectance confocal microscopy images with recurrent convolutional networks
    Conference Paper

    Bozkurt, A.; Gale, T.; Kose, K.; Alessi-Fox, C.; Brooks, D. H.; Rajadhyaksha, M.; Dy, J.
    IEEE (2017)

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  • Classification of dermoscopy patterns using deep convolutional neural networks
    Conference Paper

    Demyanov, S.; Chakravorty, R.; Abedini, M.; Halpern, A.; Garnavi, R.
    IEEE (2016)

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