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Andreas Rimner

  1. "Radiotherapy Physics Service"
Formats
  1. Meeting Abstract (112)
  2. Journal Article (78)
  3. Conference Paper (2)
  4. Editorial (2)
  5. Correspondence (1)
  6. Guidelines (1)
  7. Review (1)
Groups
  1. Medical Physics (197)
  2. Radiotherapy Physics Service (197)
  3. Radiation Oncology, Department of (106)
  4. Sloan Kettering Institute Postdocs (70)
  5. Department of Medicine (49)
  6. Solid Tumor Oncology Division (37)

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People
  1. Ellen Yorke (151)
  2. Abraham Wu (95)
  3. Joseph Deasy (56)
  4. Daphna Gelblum (50)
  5. Andrew Jackson (48)
  6. Pengpeng Zhang (41)

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Years
  1. 2025 (1)
  2. 2024 (9)
  3. 2023 (5)
  4. 2022 (11)
  5. 2021 (16)
  6. 2020 (18)

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Publications
  1. International Journal of Radiation Oncology, Biology, Physics (73)
  2. Medical Physics (50)
  3. Journal of Thoracic Oncology (20)
  4. Radiotherapy and Oncology (10)
  5. Journal of Applied Clinical Medical Physics (7)
  6. Physics in Medicine and Biology (5)

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Publishers
  1. Elsevier Inc. (111)
  2. American Association of Physicists in Medicine (50)
  3. American College of Medical Physics (7)
  4. IOP Publishing Ltd (5)
  5. American Society of Clinical Oncology (3)
  6. Elsevier Ireland Ltd. (3)

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Results (197)

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  • Dual-input tracer kinetic modeling of dynamic contrast-enhanced MRI in thoracic malignancies
    Journal Article

    Lee, S. H.; Rimner, A.; Deasy, J. O.; Hunt, M. A.; Tyagi, N.
    Journal of Applied Clinical Medical Physics (2019)

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  • 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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  • Dose-volume factors predicting airway stenosis after SBRT for ultra-central lung tumors
    Meeting Abstract

    Jackson, A.; Wang, C.; Yorke, E.; Geldblum, D.; Apte, A.; Yang, J.; Rimner, A.; Wu, A.
    Journal of Thoracic Oncology (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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  • Tumor motion and dosimetry variability based on 4DMRI in comparison with 4DCT
    Meeting Abstract

    Xu, L.; Nie, X.; Zhang, L.; Wang, C.; Wang, P.; Srivastava, S.; Wu, A. J.; Rimner, A.; Hunt, M. A.; Zhang, P.; more...
    International Journal of Radiation Oncology, Biology, Physics (2019)

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  • A planning comparison of IMRT versus pencil beam scanning for deep inspiration breath hold lung cancers
    Meeting Abstract

    Mah, D.; Yorke, E. D.; George, J.; Han, Z.; Liu, H.; Lambiase, J.; Zemanaj, E.; Czmielewski, C.; Gelb, E.; Li, H.; more...
    International Journal of Radiation Oncology, Biology, Physics (2019)

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  • Assessing accumulated dose and geometrical changes of esophagus from weekly MRIs acquired during radiotherapy of locally advanced lung cancer
    Meeting Abstract

    Riyahi, S.; Thor, M.; Rimner, A.; Tyagi, N.; Kuo, L.; Nadeem, S.; Lu, W.; Yorke, E. D.; Deasy, J. O.; Zhang, P.
    International Journal of Radiation Oncology, Biology, Physics (2019)

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  • Central review of contours and treatment plans for hemithoracic intensity-modulated pleural radiation therapy (IMPRINT) - Implementation and lessons learned from a prospective multicenter phase II study
    Meeting Abstract

    Yorke, E. D.; Kuo, L.; Cho, J.; Mak, R. H.; Garces, Y.; Perez, B. A.; Gomez, D. R.; Fontenla, S.; Czmielewski, C.; McKnight, D.; more...
    International Journal of Radiation Oncology, Biology, Physics (2019)

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  • Dose-volume factors predicting radiation pneumonitis after SBRT for ultra-central lung tumors
    Meeting Abstract

    Jackson, A.; Wang, C.; Yorke, E. D.; Gelblum, D.; Apte, A.; Yang, J.; Rimner, A.; Wu, A. J.
    International Journal of Radiation Oncology, Biology, Physics (2019)

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