Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review
2024 · Radiotherapy and Oncology · 18 citations
https://doi.org/10.1016/j.radonc.2024.110542
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Zaphanlene Kaffey
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Zaphanlene Kaffey is an academic researcher from The University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Head and Neck Cancer Studies & Oral health in cancer treatment & Dental Radiography and Imaging. The author has an h-index of 3, co-authored 27 publications.
ORCID: 0009-0008-7999-5245Papers by this author
worksUncertainty Quantification in Machine Learning Radiotherapy Applications - A Scoping Review
2024 · International Journal of Radiation Oncology*Biology*Physics · 2 citations
https://doi.org/10.1016/j.ijrobp.2024.07.1389
Deep Learning-Based Auto Contouring of Mandibular Sub-Volumes Based on the ClinRad System for Spatial Localization of Osteoradionecrosis of the Jaw
2024 · International Journal of Radiation Oncology*Biology*Physics · 2 citations
https://doi.org/10.1016/j.ijrobp.2024.07.2095
Image-based mandibular and maxillary parcellation and annotation using computed tomography (IMPACT): a deep learning-based clinical tool for orodental dose estimation and osteoradionecrosis assessment
2025 · Physics and Imaging in Radiation Oncology · 0 citations
https://doi.org/10.1016/j.phro.2025.100817
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