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46 Rafe Mcbeth
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Rafe McBeth, PhD
57Assistant Professor of Clinical Radiation Oncology
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Department: Radiation Oncology
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Contact information
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3400 Civic Center Boulevard
Philadelphia, PA 19104
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Philadelphia, PA 19104
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Publications
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Education:
21 7 BS 14 (Physics) c
32 Colorado State University, 2010.
21 7 BS 37 (Minor: Mathematics, Biomedical Engineering) c
32 Colorado State University, 2010.
21 7 MS 1e (Radiation Physics) c
32 Colorado State University, 2012.
21 8 PhD 1e (Radiation Physics) c
32 Colorado State University, 2017.
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Permanent link21 7 BS 14 (Physics) c
32 Colorado State University, 2010.
21 7 BS 37 (Minor: Mathematics, Biomedical Engineering) c
32 Colorado State University, 2010.
21 7 MS 1e (Radiation Physics) c
32 Colorado State University, 2012.
21 8 PhD 1e (Radiation Physics) c
32 Colorado State University, 2017.
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Description of Clinical Expertise
58 Implementation of artificial intelligence in clinical radiation oncology71
Description of Research Expertise
86 Computational methods in radiation oncology including artificial intelligence, Monte Carlo simulation, and automation.e 29
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12d Satvik Tripathi, Dana Alkhulaifat, Florence X Doo, Pranav Rajpurkar, Rafe McBeth, Dania Daye, Tessa S Cook: Development, Evaluation, and Assessment of Large Language Models (DEAL) Checklist: A Technical Report. NEJM AI May 2025.
147 Riqiang Gao, Mamadou Diallo, Han Liu, Anthony Magliari, Jonathan Sackett, Wilko Verbakel, Sandra Meyers, Rafe Mcbeth, Masoud Zarepisheh, Simon Arberet, Martin Kraus, Florin C Ghesu, Ali Kamen: Automating High Quality RT Planning at Scale. arXiv Jan 2025.
b1 Hai Siong Tan, Kuancheng Wang, Rafe McBeth: Evidential Physics-Informed Neural Networks. arxiv Jan 2025.
33 D. Wang a S.H. Lee 10 N. Yegya-Raman 11 S.J. Feigenberg a G.D. Kao e A.L. Largent c C. Friedes d M. Iocolano b R. McBeth 9 L. Duan 7 B. Li 8 Y. Fan d1 Y. Xiao: Interpretable Machine Learning Models for Severe Esophagitis Prediction in LA-NSCLC Patients Treated with Chemoradiation Therapy. ASTRO Annual meeting 2023 October 2024.
10c Daniel A. Alexander, Rafe McBeth : Enhancing Safety in Clinical AI Auto-Segmentation: Utilizing an Open-Source Model for Quality Assurance and Error Reduction. AAPM Annual meeting 2024 July 2024.
122 Brook Byrd, Daniel Alexander, William Ross Green, Steven Philbrook, Rafe McBeth: Utilizing a Vision-Language Pre-Training (VLP) Model for Rapid APBI Breast Target Auto-Segmentation. AAPM Annual Meeting 2024 July 2024.
111 Daniel Alexander, Steven Philbrook, William Ross Green, Rafe McBeth: Evaluation of a Commercial Autosegmentation System for HN Oars: A Large US Institutional Experience. AAPM Annual Meeting July 2024.
f6 Julia Pakela, Rafe McBeth, Daniel Alexander, Wei Zou, Alireza Kassaee: Lung Tumor Motion Characterization for Proton Therapy Decision Support. AAPM Annual Meeting July 2024.
125 Joseph Shields, Steven Philbrook, Rafe McBeth: Developing an Esapi-Based Autoplanning Method for Volume-Modulated Arc Therapy for Accelerated Partial Breast Irradiation on the Halcyon. AAPM Annual Meeting 2024 July 2024.
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Selected Publications
132 Hai Siong Tan, Kwancheng Wang, Rafe Mcbeth: Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation. International Conference on Technologies and Applications of Artificial Intelligence Dec 2025.12d Satvik Tripathi, Dana Alkhulaifat, Florence X Doo, Pranav Rajpurkar, Rafe McBeth, Dania Daye, Tessa S Cook: Development, Evaluation, and Assessment of Large Language Models (DEAL) Checklist: A Technical Report. NEJM AI May 2025.
147 Riqiang Gao, Mamadou Diallo, Han Liu, Anthony Magliari, Jonathan Sackett, Wilko Verbakel, Sandra Meyers, Rafe Mcbeth, Masoud Zarepisheh, Simon Arberet, Martin Kraus, Florin C Ghesu, Ali Kamen: Automating High Quality RT Planning at Scale. arXiv Jan 2025.
b1 Hai Siong Tan, Kuancheng Wang, Rafe McBeth: Evidential Physics-Informed Neural Networks. arxiv Jan 2025.
33 D. Wang a S.H. Lee 10 N. Yegya-Raman 11 S.J. Feigenberg a G.D. Kao e A.L. Largent c C. Friedes d M. Iocolano b R. McBeth 9 L. Duan 7 B. Li 8 Y. Fan d1 Y. Xiao: Interpretable Machine Learning Models for Severe Esophagitis Prediction in LA-NSCLC Patients Treated with Chemoradiation Therapy. ASTRO Annual meeting 2023 October 2024.
10c Daniel A. Alexander, Rafe McBeth : Enhancing Safety in Clinical AI Auto-Segmentation: Utilizing an Open-Source Model for Quality Assurance and Error Reduction. AAPM Annual meeting 2024 July 2024.
122 Brook Byrd, Daniel Alexander, William Ross Green, Steven Philbrook, Rafe McBeth: Utilizing a Vision-Language Pre-Training (VLP) Model for Rapid APBI Breast Target Auto-Segmentation. AAPM Annual Meeting 2024 July 2024.
111 Daniel Alexander, Steven Philbrook, William Ross Green, Rafe McBeth: Evaluation of a Commercial Autosegmentation System for HN Oars: A Large US Institutional Experience. AAPM Annual Meeting July 2024.
f6 Julia Pakela, Rafe McBeth, Daniel Alexander, Wei Zou, Alireza Kassaee: Lung Tumor Motion Characterization for Proton Therapy Decision Support. AAPM Annual Meeting July 2024.
125 Joseph Shields, Steven Philbrook, Rafe McBeth: Developing an Esapi-Based Autoplanning Method for Volume-Modulated Arc Therapy for Accelerated Partial Breast Irradiation on the Halcyon. AAPM Annual Meeting 2024 July 2024.
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