Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy von Cha, Elaine, Elguindi, Sharif, Onochie, Ifeanyirochukwu, Gorovets, Daniel, Deasy, Joseph O., Zelefsky, Michael, Gillespie, Erin F.

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Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy von Elguindi, Sharif, Zelefsky, Michael J., Jiang, Jue, Veeraraghavan, Harini, Deasy, Joseph O., Hunt, Margie A., Tyagi, Neelam

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Efficiency and safety increases after the implementation of a multi‐institutional automated plan check tool at our institution von Berry, Sean L., Zhou, Ying, Pham, Hai, Elguindi, Sharif, Mechalakos, James G., Hunt, Margie

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Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy von Thor, Maria, Iyer, Aditi, Jiang, Jue, Apte, Aditya, Veeraraghavan, Harini, Allgood, Natasha B., Kouri, Jennifer A., Zhou, Ying, LoCastro, Eve, Elguindi, Sharif, Hong, Linda, Hunt, Margie, Cerviño, Laura, Aristophanous, Michalis, Zarepisheh, Masoud, Deasy, Joseph O.

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Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review von Sherer, Michael V., Lin, Diana, Elguindi, Sharif, Duke, Simon, Tan, Li-Tee, Cacicedo, Jon, Dahele, Max, Gillespie, Erin F.

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Nested-block self-attention multiple resolution residual network for multi-organ segmentation from CT von Jiang, Jue, Elguindi, Sharif, Berry, Sean L., Onochie, Ifeanyirochukwu, Cervino, Laura, Deasy, Joseph O., Veeraraghavan, Harini

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Nested block self‐attention multiple resolution residual network for multiorgan segmentation from CT von Jiang, Jue, Elguindi, Sharif, Berry, Sean L., Onochie, Ifeanyirochukwu, Cervino, Laura, Deasy, Joseph O., Veeraraghavan, Harini

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PO0232: Automated Target and Organ Segmentation in Gyn Intracavitary and Interstitial Brachytherapy von Nunez, David Aramburu, Wang, Tonghe, Elguindi, Sharif, Yu, Victoria, Trager, Michael, Savacool, Michelle, Cohen, Gil'ad, Kollmeier, Marisa, Damato, Antonio

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PO0232 von Nunez, David Aramburu, Wang, Tonghe, Elguindi, Sharif, Yu, Victoria, Trager, Michael, Savacool, Michelle, Cohen, Gil'ad, Kollmeier, Marisa, Damato, Antonio

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Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT von Iyer, Aditi, Thor, Maria, Onochie, Ifeanyirochukwu, Hesse, Jennifer, Zakeri, Kaveh, LoCastro, Eve, Jiang, Jue, Veeraraghavan, Harini, Elguindi, Sharif, Lee, Nancy Y, Deasy, Joseph O, Apte, Aditya P

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Library of deep-learning image segmentation and outcomes model-implementations von Apte, Aditya P., Iyer, Aditi, Thor, Maria, Pandya, Rutu, Haq, Rabia, Jiang, Jue, LoCastro, Eve, Shukla-Dave, Amita, Sasankan, Nishanth, Xiao, Ying, Hu, Yu-Chi, Elguindi, Sharif, Veeraraghavan, Harini, Oh, Jung Hun, Jackson, Andrew, Deasy, Joseph O.

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Library of model implementations for sharing deep-learning image segmentation and outcomes models von Apte, Aditya P., Iyer, Aditi, Thor, Maria, Pandya, Rutu, Haq, Rabia, Jiang, Jue, LoCastro, Eve, Shukla-Dave, Amita, Sasankan, Nishanth, Xiao, Ying, Yu-Chi, Hu, Elguindi, Sharif, Veeraraghavan, Harini, Oh, Jung Hun, Jackson, Andy, Deasy, Joseph O.

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Local block-wise self attention for normal organ segmentation von Jiang, Jue, Sharif, Elguindi, Um, Hyemin, Berry, Sean, Veeraraghavan, Harini

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Nested-block self-attention for robust radiotherapy planning segmentation von Veeraraghavan, Harini, Jiang, Jue, Elguindi, Sharif, Berry, Sean L, Onochie, Ifeanyirochukwu, Apte, Aditya, Cervino, Laura, Deasy, Joseph O

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Local block-wise self attention for normal organ segmentation von Jiang, Jue, Sharif, Elguindi, Um, Hyemin, Berry, Sean, Veeraraghavan, Harini

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Nested-block self-attention for robust radiotherapy planning segmentation von Veeraraghavan, Harini, Jiang, Jue, Sharif Elguindi, Berry, Sean L, Onochie, Ifeanyirochukwu, Apte, Aditya, Cervino, Laura, Deasy, Joseph O

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