Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers von Kanwar, A, Mohamed, A.S.R, Court, L.E, Zhang, L, Marai, G.E, Canahuate, G, Lee, J.S, Perni, S, Messer, J.A, Pham, B.H, Youssef, B, Vock, D, Rao, A, Kalpathy-Cramer, J, Gunn, G.B, Rosenthal, D.I, Fuller, C.D

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Super-resolution registration using tissue-classified distance fields von Marai, G.E., Laidlaw, D.H., Crisco, J.J.

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Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy von Wentzel, Andrew, Hanula, Peter, van Dijk, Lisanne V., Elgohari, Baher, Mohamed, Abdallah S.R., Cardenas, Carlos E., Fuller, Clifton D., Vock, David M., Canahuate, Guadalupe, Marai, G.E.

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Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration von Wentzel, A., Hanula, P., Luciani, T., Elgohari, B., Elhalawani, H., Canahuate, G., Vock, D., Fuller, C.D., Marai, G.E.

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DASS Good: Explainable Data Mining of Spatial Cohort Data von Wentzel, A., Floricel, C., Canahuate, G., Naser, M.A., Mohamed, A.S., Fuller, CD, van Dijk, L., Marai, G.E.

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MOTIV: Visual Exploration of Moral Framing in Social Media von Wentzel, A., Levine, L., Dhariwal, V., Fatemi, Z., Bhattacharya, A., Eugenio, B. Di, Rojecki, A., Zheleva, E., Marai, G.E.

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Correlating Toxicity Outcomes with Spatial Patterns of Lymph Node Metastasis for Oropharyngeal Cancer Patients von Elgohari, B., Luciani, T., Elhalawani, H., Mohamed, A.S., Canahuate, G., Vock, D., Fuller, C.D., Marai, G.E.

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Arthrodial Joint Markerless Cross-Parameterization and Biomechanical Visualization von Marai, G.E., Grimm, C.M., Laidlaw, D.H.

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A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine von Luciani, T., Wentzel, A., Elgohari, B., Elhalawani, H., Mohamed, A., Canahuate, G., Vock, D.M., Fuller, C.D., Marai, G.E.

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Cohort-Based Spatial Similarity Can Predict Radiotherapy Dose Distribution von Elgohari, B., Wentzel, A., Hanula, P., Luciani, T., Elhalawani, H., Cardenas, C.E., Edwards, B., Mohamed, A.S., Canahuate, G., Vock, D., Fuller, C.D., Marai, G.E.

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PO-0991: Serial tumor radiomic features predict response of head and neck cancer treated with Radiotherapy von Elhalawani, H.E., Mohamed, A.S.R., Volpe, S., Yang, P., Campbell, S., Granberry, R., Ger, R., Fave, X., Zhang, L., Marai, G.E., Vock, D., Canahuate, G.M., Mackin, D., Court, L., Gunn, G.B., Rao, A., Fuller, C.D.

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EP-2121: Serial Parotid Gland Radiomic-based Model Predicts Post-Radiation Xerostomia in Oropharyngeal Cancer von Elhalawani, H., Mohamed, A.S.R., Kanwar, A., Dursteler, A., Rock, C.D., Eraj, S.E., Meheissen, M., Volpe, S., Yang, P., Granberry, R., Ger, R., Fave, X., Zhang, L., Yang, J., Marai, G.E., Vock, D., Canahuate, G., Mackin, D., Court, L., Gunn, G.B., Rao, A., Fuller, C.D.

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A Kinematics-Based Method For Generating Cartilage Maps and Deformations in the Multi-Articulating Wrist Joint From CT Images von Marai, G.E., Crisco, J.J., Laidlaw, D.H.

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Machine learning applications in head and neck radiation oncology: Lessons from open-source radiomics challenges von Elhalawani, H, Lin, T.A, Volpe, S, Mohamed, A.S.R, White, A.L, Zafereo, J, Wong, A.J, Berends, J.E, AboHashem, S, Williams, B, Aymard, J.M, Kanwar, A, Perni, S, Rock, C.D, Cooksey, L, Campbell, S, Yang, P, Nguyen, K, Ger, R.B, Cardenas, C.E, Fave, X.J, Sansone, C, Piantadosi, G, Marrone, S, Liu, R, Huang, C, Yu, K, Li, T, Yu, Y, Zhang, Y, Zhu, H, Morris, J.S, Baladandayuthapani, V, Shumway, J.W, Ghosh, A, Pöhlmann, A, Phoulady, H.A, Goyal, V, Canahuate, G, Marai, G.E, Vock, D, Lai, S.Y, Mackin, D.S, Court, L.E, Freymann, J, Farahani, K, Kaplathy-Cramer, J, Fuller, C.D

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Immersive Analytics Lessons From the Electronic Visualization Laboratory: A 25-Year Perspective von Marai, G. Elisabeta, Leigh, Jason, Johnson, Andrew

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JointViewer - An Interactive System for Exploring Orthopedic Data von Marai, G. Elisabeta, Demiralp, Cagatay, Andrews, Stuart, Laidlaw, David H.

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