85 Results

People

  1. Do
    Do
  2. Jiang
    Jiang
  3. Deasy
    Deasy
  4. Eskreis-Winkler
    Eskreis-Winkler
  5. Stember
    Stember
  6. Wang
    Wang
  7. Rimner
    Rimner
  8. Veeraraghavan
    Veeraraghavan
  9. Apte
    Apte
  10. Chakraborty
    Chakraborty

Groups

  1. Sloan Kettering Institute Postdocs (34)
  2. Medical Physics (30)
  3. Radiology, Department of (20)
  4. Body Imaging Service (14)
  5. Department of Medicine (14)
  6. Dermatology Service (11)
  7. Dermatology (11)
  8. Division of Subspecialty Medicine (11)
  9. Population Sciences Research Program (7)
  10. Radiotherapy Physics Service (7)
  1. "convolutional neural network"
Formats
  1. Journal Article (53)
  2. Conference Paper (24)
  3. Review (5)
  4. Correspondence (1)
  5. Editorial (1)
  6. Research Letter (1)
Groups
  1. Sloan Kettering Institute Postdocs (34)
  2. Medical Physics (30)
  3. Radiology, Department of (20)
  4. Body Imaging Service (14)
  5. Department of Medicine (14)
  6. Dermatology (11)

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People
  1. Kinh Gian Do (8)
  2. Jue Jiang (7)
  3. Joseph Deasy (5)
  4. Joseph Stember (5)
  5. Katja Pinker-Domenig (5)
  6. Sarah Eskreis-Winkler (5)

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Years
  1. 2025 (10)
  2. 2024 (17)
  3. 2023 (14)
  4. 2022 (5)
  5. 2021 (9)
  6. 2020 (9)

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Publications
  1. Medical Physics (11)
  2. Lecture Notes in Computer Science (6)
  3. Progress in Biomedical Optics and Imaging - Proceedings of SPIE (5)
  4. Proceedings of SPIE (4)
  5. Academic Radiology (2)
  6. Annals of Surgical Oncology (2)

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Publishers
  1. Springer (13)
  2. American Association of Physicists in Medicine (11)
  3. SPIE (11)
  4. IEEE (9)
  5. Elsevier Inc. (5)
  6. Elsevier Science, Inc. (4)

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Results (85)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Leveraging persistent homology for liver tumour classification
    Conference Paper

    Ali, D. A.; Peoples, J. J.; Mojtahedi, R.; Kobayashi, K. S.; Jarnagin, W. R.; Do, R. K. G.; Simpson, A. L.
    SPIE (2025)

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  • Predicting response to therapy in pancreatic ductal adenocarcinoma using convolutional neural networks
    Conference Paper

    Zhou, J.; Ali, D.; Mojtahedi, R.; Barekzai, A. B.; Chakraborty, J.; Khasawneh, H.; Vilela, C.; Horvat, N.; Miranda, J.; Wei, A. C.; more...
    SPIE (2025)

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  • The search for CT imaging subtypes of colorectal liver metastases and the impacts of slice thickness
    Conference Paper

    Kobayashi, K. S.; Ali, D. A.; Mojtahedi, R.; Peoples, J. J.; Hamghalam, M.; Gangai, N.; Gonen, M.; Do, R. K.; Chun, Y. S.; Kang, H. C.; more...
    SPIE (2025)

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  • Automated description generation of cytologic findings for lung cytological images using a pretrained vision model and dual text decoders: Preliminary study
    Journal Article

    Teramoto, A.; Michiba, A.; Kiriyama, Y.; Tsukamoto, T.; Imaizumi, K.; Fujita, H.
    Cytopathology (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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  • Early detection of breast cancer in MRI using AI
    Journal Article

    Hirsch, L.; Huang, Y.; Makse, H. A.; Martinez, D. F.; Hughes, M.; Eskreis-Winkler, S.; Pinker, K.; Morris, E. A.; Parra, L. C.; Sutton, E. J.
    Academic Radiology (2025)

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  • Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer
    Journal Article

    Jiang, J.; Choi, C. M. S.; Thor, M.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2025)

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  • Automatic medical imaging segmentation via self-supervising large-scale convolutional neural networks
    Journal Article

    Li, Y.; Wynne, J. F.; Wu, Y.; Qiu, R. L. J.; Tian, S.; Wang, T.; Patel, P. R.; Yu, D. S.; Yang, X.
    Radiotherapy and Oncology (2025)

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  • A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing
    Journal Article

    Ziegler, J.; Hechtman, J. F.; Rana, S.; Ptashkin, R. N.; Jayakumaran, G.; Middha, S.; Chavan, S. S.; Vanderbilt, C.; DeLair, D.; Casanova, J.; more...
    Nature Communications (2025)

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  • A response to the letter to the editor: “Performance optimization of CNN model based on attention mechanism in patients with NSCLC”
    Correspondence

    Dacic, S.; Abel, J.; Hennek, S. R.; Travis, W. D.; Wistuba, I. I.
    Journal of Thoracic Oncology (2025)

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