SPIE

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People

  1. Rajadhyaksha
    Rajadhyaksha
  2. Do
    Do
  3. Jarnagin
    Jarnagin
  4. Wang
    Wang
  5. Nehal
    Nehal
  6. Kingham
    Kingham
  7. Dave
    Dave
  8. Gangai
    Gangai
  9. Gonen
    Gonen
  10. Wei
    Wei

Groups

  1. Sloan Kettering Institute Postdocs (32)
  2. Department of Medicine (28)
  3. Medical Physics (25)
  4. Dermatology Service (21)
  5. Dermatology (21)
  6. Division of Subspecialty Medicine (21)
  7. Surgery (18)
  8. Center for Molecular Imaging and Biotechnology (16)
  9. Center for Pancreatic Cancer Research (16)
  10. Radiology, Department of (15)
Search Within
Formats
  1. Journal Article (53)
  2. Conference Paper (37)
  3. Editorial (1)
  4. Review (1)
Groups
  1. Sloan Kettering Institute Postdocs (32)
  2. Department of Medicine (28)
  3. Medical Physics (25)
  4. Dermatology (21)
  5. Dermatology Service (21)
  6. Division of Subspecialty Medicine (21)

More Groups

People
  1. Milind Rajadhyaksha (20)
  2. Jon Heiselman (12)
  3. Kinh Gian Do (12)
  4. William Jarnagin (12)
  5. Tonghe Wang (9)
  6. Jayasree Chakraborty (6)

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Years
  1. 2025 (22)
  2. 2024 (8)
  3. 2023 (10)
  4. 2022 (4)
  5. 2021 (5)
  6. 2020 (4)

More Years

Publications
  1. Progress in Biomedical Optics and Imaging - Proceedings of SPIE (33)
  2. Journal of Biomedical Optics (27)
  3. Journal of Medical Imaging (27)
  4. Proceedings of Advances in Laser and Light Spectroscopy to Diagnose Cancer and Other Diseases II (2)
  5. Imaging Informatics for Healthcare, Research, and Applications, Medical Imaging 2024 (1)
  6. Proceedings of SPIE (1)

More Publications

Results (92)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Super resolution multimodal microscopy for studying spatially correlated metabolism in aging and diseases
    Conference Paper

    Jang, H.; Li, Z.; Ackerstaff, E.; Koutcher, J. A.; Shi, L.
    SPIE (2023)

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  • E pluribus unum: Prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation
    Journal Article

    Lin, D.; Wahid, K. A.; Nelms, B. E.; He, R.; Naser, M. A.; Duke, S.; Sherer, M. V.; Christodouleas, J. P.; Mohamed, A. S. R.; Cislo, M.; more...
    Journal of Medical Imaging (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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  • Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases
    Conference Paper

    Hamghalam, M.; Do, R. K. G.; Simpson, A. L.
    SPIE (2023)

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  • Experimental proof of record-short coincidence time resolution performance achieved in 3×3×3 mm(3) LYSO crystals
    Conference Paper

    Harmon, E. S.; Thompson, M. O.; Schmidtlein, C. R.; Turner, J. N.; Gola, A.; Borghi, G.; Merzi, S.; Moretti, E.; Krol, A.
    SPIE (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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  • Self-supervised denoising of Nyquist-sampled volumetric images via deep learning
    Journal Article

    Applegate, M. B.; Kose, K.; Ghimire, S.; Rajadhyaksha, M.; Dy, J.
    Journal of Medical Imaging (2023)

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