Guadalupe M. Canahuate

Affiliations: 
Computer Science The University of Iowa 
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"Guadalupe Canahuate"
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Wentzel A, Hanula P, van Dijk LV, et al. (2020) Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology
Tosado J, Zdilar L, Elhalawani H, et al. (2020) Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction. Scientific Reports. 10: 3811
Wentzel A, Hanula P, Luciani T, et al. (2019) Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration. Ieee Transactions On Visualization and Computer Graphics
Elhalawani H, Lin TA, Volpe S, et al. (2018) Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges. Frontiers in Oncology. 8: 294
Ng SP, Dyer BA, Kalpathy-Cramer J, et al. (2018) A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician specialty matter? Clinical and Translational Radiation Oncology. 12: 40-46
Marai GE, Ma C, Burks A, et al. (2018) Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots. Ieee Transactions On Visualization and Computer Graphics
Elhalawani H, Mohamed ASR, Kanwar A, et al. (2018) EP-2121: Serial Parotid Gland Radiomic-based Model Predicts Post-Radiation Xerostomia in Oropharyngeal Cancer Radiotherapy and Oncology. 127
Elhalawani HE, Mohamed ASR, Volpe S, et al. (2018) PO-0991: Serial tumor radiomic features predict response of head and neck cancer treated with Radiotherapy Radiotherapy and Oncology. 127
Sheu T, Vock DM, Mohamed ASR, et al. (2017) Conditional survival analysis of patients with locally advanced laryngeal cancer: Construction of a dynamic risk model and clinical nomogram Scientific Reports. 7: 43928
Kanwar A, Mohamed AS, Court LE, et al. (2016) Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers. International Journal of Radiation Oncology, Biology, Physics. 96: S191
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