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Jon Stanley Heiselman

Formats
  1. Conference Paper (11)
  2. Journal Article (9)
  3. Meeting Abstract (3)
Groups
  1. Sloan Kettering Institute Postdocs (23)
  2. Center for Pancreatic Cancer Research (12)
  3. Surgery (12)
  4. Population Sciences Research Program (6)
  5. Body Imaging Service (5)
  6. Radiology, Department of (5)

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People
  1. William Jarnagin (11)
  2. Jayasree Chakraborty (6)
  3. Alice Wei (5)
  4. T Peter Kingham (5)
  5. Eileen O'Reilly (4)
  6. Kinh Gian Do (4)

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Years
  1. 2025 (2)
  2. 2024 (9)
  3. 2023 (8)
  4. 2022 (4)
Publications
  1. Progress in Biomedical Optics and Imaging - Proceedings of SPIE (9)
  2. Journal of Medical Imaging (4)
  3. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology (1)
  4. Annals of Surgical Oncology (1)
  5. Cancer Research (1)
  6. Cancer Research Communications (1)

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Publishers
  1. SPIE (13)
  2. American Association for Cancer Research (2)
  3. IEEE (2)
  4. Springer (2)
  5. Radiological Society of North America, Inc. (1)
  6. American Society of Clinical Oncology (1)

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Results (23)

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  • The Image-to-Physical Liver Registration Sparse Data Challenge: Comparison of state-of-the-art using a common dataset
    Journal Article

    Heiselman, J. S.; Collins, J. A.; Ringel, M. J.; Kingham, T. P.; Jarnagin, W. R.; Miga, M. I.
    Journal of Medical Imaging (2024)

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  • Data science in oncology: A summary of the mini-symposium at the IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology
    Conference Paper

    Paolucci, I.; Heiselman, J.; Sonke, J. J.; Chung, C.; Brock, K. K.
    Institute of Electrical and Electronics Engineers Inc. (2023)

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  • Regularized Kelvinlet functions to model linear elasticity for image-to-physical registration of the breast
    Conference Paper

    Ringel, M.; Heiselman, J.; Richey, W.; Meszoely, I.; Miga, M.
    Springer (2023)

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  • Registration-based biomarkers for neoadjuvant treatment response of pancreatic cancer via longitudinal image registration
    Journal Article

    Heiselman, J. S.; Ecker, B. L.; Langdon-Embry, L.; O'Reilly, E. M.; Miga, M. I.; Jarnagin, W. R.; Do, R. K. G.; Horvat, N.; Wei, A. C.; Chakraborty, J.
    Journal of Medical Imaging (2023)

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  • Comparison study of intraoperative surface acquisition methods for surgical navigation
    Conference Paper

    Xiang, B.; Heiselman, J. S.; Richey, W. L.; Jarnagin, W. R.; Miga, M. I.
    SPIE (2023)

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  • Stereovision registration using a tracked checkerboard calibration object for a breast surgery image guidance system
    Conference Paper

    Stabile, A. W.; Ringel, M. J.; Richey, W. L.; Heiselman, J. S.; Meszoely, I.; Miga, M. I.
    SPIE (2023)

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  • Modeling retraction for breast conserving surgery guidance
    Conference Paper

    Espinosa, A.; Ringel, M. J.; Heiselman, J. S.; Pereira, K.; Servin, F.; Richey, W. L.; Meszoely, I.; Miga, M. I.
    SPIE (2023)

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  • Comparison study of sparse data-driven soft tissue registration: Preliminary results from the image-to-physical liver registration sparse data challenge
    Conference Paper

    Heiselman, J. S.; Collins, J. A.; Ringel, M. J.; Jarnagin, W. R.; Miga, M. I.
    SPIE (2023)

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  • Incorporating heterogeneity and anisotropy for surgical applications in breast deformation modeling
    Journal Article

    Ringel, M. J.; Richey, W. L.; Heiselman, J. S.; Meszoely, I. M.; Miga, M. I.
    Clinical Biomechanics (2023)

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  • Patient-specific forecasting of prostate cancer growth during active surveillance using an imaging-informed mechanistic model
    Meeting Abstract

    Lorenzo, G.; Heiselman, J. S.; Liss, M. A.; Miga, M. I.; Gomez, H.; Yankeelov, T. E.; Hughes, T. J.; Reali, A.
    Cancer Research (2022)

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