Rafe Mcbeth
Rafe McBeth, PhD
Assistant Professor of Clinical Radiation Oncology
Department: Radiation Oncology
Contact information
3400 Civic Center Boulevard
Philadelphia, PA 19104
Philadelphia, PA 19104
Publications
Education:
BS (Physics)
Colorado State University, 2010.
BS (Minor: Mathematics, Biomedical Engineering)
Colorado State University, 2010.
MS (Radiation Physics)
Colorado State University, 2012.
PhD (Radiation Physics)
Colorado State University, 2017.
Permanent linkBS (Physics)
Colorado State University, 2010.
BS (Minor: Mathematics, Biomedical Engineering)
Colorado State University, 2010.
MS (Radiation Physics)
Colorado State University, 2012.
PhD (Radiation Physics)
Colorado State University, 2017.
Description of Clinical Expertise
Implementation of artificial intelligence in clinical radiation oncologyDescription of Research Expertise
Computational methods in radiation oncology including artificial intelligence, Monte Carlo simulation, and automation.Selected Publications
Rafe McBeth, Maryam Mashayekhi, Dan Nguyen, Allen Yen, Zipalkumar Trivedi, Dominic Moon, Vlad Avkshtol, Dat Vo, David Sher, Steve Jiang, Mu-Han Li: Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study. Clinical and Translational Radiation Oncology. Elsevier, 40, May 2023.Lian Duan1, Kelly Kisling, and Rafe A. McBeth: Multi-Institutional Validation of Knowledge-Based Planning Models for Optimizing Volume-Modulated Arc Therapy for Accelerated Partial Breast Irradiation. AAPM spring clinical Meeting April 2023 Notes: Poster.
Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J Sher, Dan Nguyen, Steve Jiang: A Proof-of-Concept Study of Artificial Intelligence–assisted Contour Editing. Radiology: Artificial Intelligence Aug 2022.
R McBeth, T Li, S O'Reilly: Strategies to Increase Data Science and Artificial Intelligence Curriculum and Practical Skills in Medical Physics Graduate and Residency Programs AAPM Annual Meeting 2022 July 2022 Notes: Poster.
H Tan, Y Xiao, S Lee, R McBeth: Correlations of Evaluation Metrics in Deep Learning-Based Segmentation. AAPM Annual Meeting 2022 July 2022 Notes: Poster.
S Gupta, L Dong, R McBeth, S Philbrook: Assessing Machine Learning Generated Auto-Segmentation. AAPM Annual Meeting 2022 July 2022.
Qiyuan An, Rafe McBeth, Houliang Zhou, Bryan Lawlor, Dan Nguyen, Steve Jiang, Mark S Link, Yingying Zhu: Prediction of Type and Recurrence of Atrial Fibrillation after Catheter Ablation via Left Atrial Electroanatomical Voltage Mapping Registration and Multilayer Perceptron Classification: A Retrospective Study. Sensors May 2022.
Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad Barkousaraie, Rafe McBeth, Mu‐Han Lin, Steve Jiang, Dan Nguyen: Site‐agnostic 3D dose distribution prediction with deep learning neural networks. Medical physics Mar 2022.
Artificial Intelligence Guided Physician Directive Improves Head and Neck Planning Quality and Practice Uniformity: A Prospective Study: Artificial Intelligence Guided Physician Directive Improves Head and Neck Planning Quality and Practice Uniformity: A Prospective Study. International Journal of Radiation Oncology, Biology, Physics Nov 2021.
D Nguyen, T Bai, A Sadeghnejad Barkousaraie, R McBeth, A Balagopal, S Jiang: Improved Dose Prediction Performance with Data Clustering and Transfer Learning On H&N Cancer Patients. MEDICAL PHYSICS 2021 Notes: Poster.