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Elsevier B.V.

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Deasy
Thor
Apte
Veeraraghavan
Hatzoglou
Lee
Riaz
Tyagi

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Medical Physics (4)
Radiation Oncology, Department of (4)
Sloan Kettering Institute Postdocs (4)
Population Sciences Research Program (3)
Radiotherapy Physics Service (2)
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Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues

Journal Article

Jiang, J.; Choi, C. M. S.; Deasy, J. O.; Rimner, A.; Thor, M.; Veeraraghavan, H.
Physics and Imaging in Radiation Oncology (2024)

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Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes analysis

Journal Article

Haq, R.; Hotca, A.; Apte, A.; Rimner, A.; Deasy, J. O.; Thor, M.
Physics and Imaging in Radiation Oncology (2020)

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Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy

Journal Article

Elguindi, S.; Zelefsky, M. J.; Jiang, J.; Veeraraghavan, H.; Deasy, J. O.; Hunt, M. A.; Tyagi, N.
Physics and Imaging in Radiation Oncology (2019)

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A magnetic resonance imaging-based approach to quantify radiation-induced normal tissue injuries applied to trismus in head and neck cancer

Journal Article

Thor, M.; Tyagi, N.; Hatzoglou, V.; Apte, A.; Saleh, Z.; Riaz, N.; Lee, N. Y.; Deasy, J. O.
Physics and Imaging in Radiation Oncology (2017)

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Elsevier B.V.

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