Automated Contouring and Planning in Radiation Therapy: What Is 'Clinically Acceptable'? by Baroudi, Hana, Brock, Kristy K, Cao, Wenhua, Chen, Xinru, Chung, Caroline, Court, Laurence E, El Basha, Mohammad D, Farhat, Maguy, Gay, Skylar, Gronberg, Mary P, Gupta, Aashish Chandra, Hernandez, Soleil, Huang, Kai, Jaffray, David A, Lim, Rebecca, Marquez, Barbara, Nealon, Kelly, Netherton, Tucker J, Nguyen, Callistus M, Reber, Brandon, Rhee, Dong Joo, Salazar, Ramon M, Shanker, Mihir D, Sjogreen, Carlos, Woodland, McKell, Yang, Jinzhong, Yu, Cenji, Zhao, Yao

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A deep-learning-based dose verification tool utilizing fluence maps for a cobalt-60 compensator-based intensity-modulated radiation therapy system by Oh, Kyuhak, Gronberg, Mary P., Netherton, Tucker J., Sengupta, Bishwambhar, Cardenas, Carlos E., Court, Laurence E., Ford, Eric C.

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Technical Note: Dose prediction for head and neck radiotherapy using a three‐dimensional dense dilated U‐net architecture by Gronberg, Mary P., Gay, Skylar S., Netherton, Tucker J., Rhee, Dong Joo, Court, Laurence E., Cardenas, Carlos E.

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Deep learning–based statistical robustness evaluation of intensity-modulated proton therapy for head and neck cancer by Liang, Danfu, Vazquez, Ivan, Gronberg, Mary P, Zhang, Xiaodong, Zhu, X Ronald, Frank, Steven J, Court, Laurence E, Martel, Mary K, Yang, Ming

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A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study by Vazquez, Ivan, Gronberg, Mary P, Zhang, Xiaodong, Court, Laurence E, Zhu, X Ronald, Frank, Steven J, Yang, Ming

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Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers by Gronberg, Mary P, Jhingran, Anuja, Netherton, Tucker J, Gay, Skylar S, Cardenas, Carlos E, Chung, Christine, Fuentes, David, Fuller, Clifton D, Howell, Rebecca M, Khan, Meena, Lim, Tze Yee, Marquez, Barbara, Olanrewaju, Adenike M, Peterson, Christine B, Vazquez, Ivan, Whitaker, Thomas J, Wooten, Zachary, Yang, Ming, Court, Laurence E

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MPLA case: I didn't realize those were the expectations by Simiele, Samantha J., Charyyev, Serdar, Lin, Liyong, Kim, Leonard, Wang, Dongxu, Gronberg, Mary P.

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Academic program recommendations for graduate degrees in medical physics: AAPM Report No. 365 (Revision of Report No. 197) by Burmeister, Jay W., Busse, Nathan C., Cetnar, Ashley J., Howell, Rebecca R., Jeraj, Robert, Jones, A. Kyle, King, Steven H., Matthews, Kenneth L., Montemayor, Victor J., Newhauser, Wayne, Rodrigues, Anna E., Samei, Ehsan, Turkington, Timothy V., Gronberg, Mary P., Loughery, Brian, Roth, Alison R., Joiner, Michael C., Jackson, Edward F., Naine, Paul A., Kim, Leonard H.

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Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans by Gronberg, Mary P, Beadle, Beth M, Garden, Adam S, Skinner, Heath, Gay, Skylar, Tucker Netherton, Cao, Wenhua, Cardenas, Carlos E, Chung, Christine, Fuentes, David, Fuller, Clifton D, Howell, Rebecca M, Jhingran, Anuja, Lim, Tze Yee, Marquez, Barbara, Mumme, Raymond, Olanrewaju, Adenike M, Peterson, Christine B, Vazquez, Ivan, Whitaker, Thomas J, Wooten, Zachary, Yang, Ming, Court, Laurence E

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A real-time contouring feedback tool for consensus-based contour training by Nelson, Christopher L., Nguyen, Callistus, Fang, Raymond, Court, Laurence E., Cardenas, Carlos E., Rhee, Dong Joo, Netherton, Tucker J., Mumme, Raymond P., Gay, Skylar, Gay, Casey, Marquez, Barbara, El Basha, Mohammad D., Zhao, Yao, Gronberg, Mary, Hernandez, Soleil, Nealon, Kelly A., Martel, Mary K., Yang, Jinzhong

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Synthetic Megavoltage Cone Beam Computed Tomography Image Generation for Improved Contouring Accuracy of Cardiac Pacemakers by Baroudi, Hana, Chen, Xinru, Cao, Wenhua, El Basha, Mohammad D, Gay, Skylar, Gronberg, Mary Peters, Hernandez, Soleil, Huang, Kai, Kaffey, Zaphanlene, Melancon, Adam D, Mumme, Raymond P, Sjogreen, Carlos, Tsai, January Y, Yu, Cenji, Court, Laurence E, Pino, Ramiro, Zhao, Yao

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