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Yu-Chi Hu

Formats
  1. Meeting Abstract (61)
  2. Journal Article (44)
  3. Conference Paper (13)
  4. Correspondence (2)
Groups
  1. Medical Physics (116)
  2. Radiotherapy Physics Service (92)
  3. Sloan Kettering Institute Postdocs (52)
  4. Radiation Oncology, Department of (22)
  5. Graduate Medical Education (12)
  6. Survivorship Research (10)

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People
  1. Pengpeng Zhang (53)
  2. Gikas Mageras (44)
  3. Ellen Yorke (32)
  4. Andreas Rimner (31)
  5. Laura Cervino Arriba (30)
  6. Joseph Deasy (28)

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Years
  1. 2025 (4)
  2. 2024 (12)
  3. 2023 (3)
  4. 2022 (12)
  5. 2021 (10)
  6. 2020 (8)

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Publications
  1. Medical Physics (55)
  2. International Journal of Radiation Oncology, Biology, Physics (22)
  3. Physics in Medicine and Biology (6)
  4. Radiotherapy and Oncology (6)
  5. Lecture Notes in Computer Science (4)
  6. IEEE Transactions on Medical Imaging (3)

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Publishers
  1. American Association of Physicists in Medicine (55)
  2. Elsevier Inc. (31)
  3. IEEE (8)
  4. IOP Publishing Ltd (6)
  5. SPIE (5)
  6. Springer (5)

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Results (120)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • 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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  • Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
    Journal Article

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Zhang, P.; Rimner, A.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm
    Journal Article

    Wang, C.; Rimner, A.; Hu, Y. C.; Tyagi, N.; Jiang, J.; Yorke, E.; Riyahi, S.; Mageras, G.; Deasy, J. O.; Zhang, P.
    Medical Physics (2019)

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  • Predicting volumetric expansion of esophagus during lung radiotherapy
    Meeting Abstract

    Wang, C.; Riyahi, S.; Hu, Y.; Nadeem, S.; Tyagi, N.; Kuo, R.; Rimner, A.; Deasy, J.; Zhang, P.
    Medical Physics (2019)

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  • Detecting significant nodal volume shrinkage during treatment in head-and-neck radiotherapy using image saliency
    Meeting Abstract

    Hu, Y.; Polvorosa, C.; Tsai, C.; Fontenla, S.; Mageras, G.; Hunt, M.
    Medical Physics (2019)

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  • Toward predictive dose accumulation - Predicting displacement fields of anatomical change in head-and-neck adaptive radiotherapy
    Meeting Abstract

    Hu, Y.; Zhang, P.; Wang, C.; Mechalakos, J.; Mageras, G.; Lee, N.; Deasy, J.; Hunt, M.
    Medical Physics (2019)

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  • Longitudinal segmentation of parotid gland changes from MRI through unsupervised cross-modality deep learning through structure-specific appearance constraints
    Meeting Abstract

    Jiang, J.; Um, H.; Hu, Y.; Tyagi, N.; Wang, C.; Lee, N.; Deasy, J.; Berry, S.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Accumulated dose and maximum expansion of the esophagus predict radiation-induced acute esophagitis in nonsmall cell lung cancer
    Meeting Abstract

    Riyahi, S.; Zhang, P.; Rimner, A.; Tyagi, N.; Kuo, R.; Wang, C.; Hu, Y.; Yorke, E.; Lu, W.; Deasy, J.; more...
    Medical Physics (2019)

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  • Cross-modality (MR-CT) educed deep learning (CMEDL) for segmentation of lung tumors on CT
    Meeting Abstract

    Jiang, J.; Tyagi, N.; Hu, Y.; Rimner, A.; Berry, S.; Deasy, J.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Multiple resolution residually connected feature streams for automatic lung tumor segmentation from CT images
    Journal Article

    Jiang, J.; Hu, Y. C.; Liu, C. J.; Halpenny, D.; Hellmann, M. D.; Deasy, J. O.; Mageras, G.; Veeraraghavan, H.
    IEEE Transactions on Medical Imaging (2019)

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