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Aneesh Prasad Rangnekar

Formats
  1. Meeting Abstract (4)
  2. Conference Paper (3)
  3. Journal Article (3)
  4. Miscellaneous (1)
Groups
  1. Medical Physics (11)
  2. Sloan Kettering Institute Postdocs (11)
  3. Colorectal Surgery (4)
  4. Surgery (4)
  5. GME, Radiation Oncology (1)
  6. Graduate Medical Education (1)

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People
  1. Harini Veeraraghavan (11)
  2. Jue Jiang (5)
  3. Hannah Thompson (4)
  4. Hannah Williams (4)
  5. Jorge Tapias Gomez (4)
  6. Julio Garcia Aguilar (4)

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Years
  1. 2025 (3)
  2. 2024 (8)
Publications
  1. Annals of Surgical Oncology (3)
  2. Medical Physics (3)
  3. Progress in Biomedical Optics and Imaging - Proceedings of SPIE (2)
  4. International Journal of Radiation Oncology, Biology, Physics (1)
  5. Lecture Notes in Computer Science (1)
  6. Physics and Imaging in Radiation Oncology (1)
Publishers
  1. Springer (4)
  2. American Association of Physicists in Medicine (3)
  3. SPIE (2)
  4. Elsevier B.V. (1)
  5. Elsevier Inc. (1)

Results (11)

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  • Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets
    Conference Paper

    Rangnekar, A.; Nadkarni, N.; Jiang, J.; Veeraraghavan, H.
    SPIE (2025)

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  • Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment
    Conference Paper

    Gomez, J. T.; Rangnekar, A.; Williams, H.; Thompson, H. M.; Garcia-Aguilar, J.; Smith, J. J.; Veeraraghavan, H.
    SPIE (2025)

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  • Self-supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
    Journal Article

    Jiang, J.; Rangnekar, A.; Veeraraghavan, H.
    Medical Physics (2025)

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  • Enhancing Swin transformer with semantic attention for explainable prediction: A case study with lung cancer CT images
    Meeting Abstract

    Rangnekar, A.; Jiang, J.; Veeraraghavan, H.
    Medical Physics (2024)

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  • Robustness of pretrained transformers on lung cancer segmentation with computed tomography scans
    Meeting Abstract

    Rangnekar, A.; Nadkarni, N.; Jiang, J.; Veeraraghavan, H.
    Medical Physics (2024)

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  • Balancing prevalence of contrast and non-contrast computed tomography examples in a limited set and training transformer-based great vessel segmentation
    Meeting Abstract

    Rangnekar, A.; Mankuzhy, N. P.; Thor, M.; Rimner, A.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2024)

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  • Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients
    Journal Article

    Reinders, F. C. J.; Savenije, M. H. F.; de Ridder, M.; Maspero, M.; Doornaert, P. A. H.; Terhaard, C. H. J.; Raaijmakers, C. P. J.; Zakeri, K.; Lee, N. Y.; Aliotta, E.; more...
    Physics and Imaging in Radiation Oncology (2024)

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  • Assessing endoscopic response in locally advanced rectal cancer treated with total neoadjuvant therapy: Development and validation of a highly accurate convolutional neural network
    Journal Article

    Williams, H.; Thompson, H. M.; Lee, C.; Rangnekar, A.; Gomez, J. T.; Widmar, M.; Wei, I. H.; Pappou, E. P.; Nash, G. M.; Weiser, M. R.; more...
    Annals of Surgical Oncology (2024)

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  • 3D Swin transformer for partial medical auto segmentation
    Conference Paper

    Rangnekar, A.; Jiang, J.; Veeraraghavan, H.
    Springer (2024)

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  • ASO Visual Abstract: Assessing endoscopic response in locally advanced rectal cancer treated with total neoadjuvant therapy: Development and validation of a highly accurate convolutional neural network
    Miscellaneous

    Williams, H.; Thompson, H. M.; Lee, C.; Rangnekar, A.; Gomez, J. T.; Widmar, M.; Wei, I. H.; Pappou, E. P.; Nash, G. M.; Weiser, M. R.; more...
    Annals of Surgical Oncology (2024)

    Fulltext@MSK | Save