Guadalupe M. Canahuate
Affiliations: | Computer Science | The University of Iowa |
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"Guadalupe Canahuate"Parents
Sign in to add mentorGagan Agrawal | grad student | 2009 | Ohio State |
Hakan Ferhatosmanoglu | grad student | 2009 | Ohio State |
Ponnuswamy Sadayappan | grad student | 2009 | Ohio State |
Collaborators
Sign in to add collaboratorClifton David Fuller | collaborator | 2015- | The University of Iowa (MPROTree) |
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Publications
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Guzun G, Canahuate G. (2020) High-dimensional similarity searches using query driven dynamic quantization and distributed indexing. Distributed and Parallel Databases. 38: 255-286 |
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 |
Elgohari B, Luciani T, Elhalawani H, et al. (2019) Correlating Toxicity Outcomes with Spatial Patterns of Lymph Node Metastasis for Oropharyngeal Cancer Patients International Journal of Radiation Oncology*Biology*Physics. 105: E417 |
Elgohari B, Wentzel A, Hanula P, et al. (2019) Cohort-Based Spatial Similarity Can Predict Radiotherapy Dose Distribution International Journal of Radiation Oncology*Biology*Physics. 105: E416-E417 |
Zdilar L, Vock DM, Marai GE, et al. (2018) Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer. Jco Clinical Cancer Informatics. 1-19 |
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 |