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
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.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.
R McBeth, M Joo, Z Xiong, J Park, A Owrangi: Dosimetric Quality Comparisons Between MRI-Linac Vs Conventional VMAT for Prostate SBRT. MEDICAL PHYSICS 2021 Notes: Poster.
R McBeth, M Mashayekhi, Z Trivedi, D Nguyen, S Jiang, M Lin: Dosimetrist Knowledge Transfer Using Intelligent Agents. MEDICAL PHYSICS 2021 Notes: Poster.
T Bai, A Balagopal, M Dohopolski, H Morgan, R McBeth, J Tan, D Nguyen, S Jiang: Towards Artificial Intelligence and Clinician Integrated Systems (AICIS): Interactive Contour Revision with Deep Boundary Net. MEDICAL PHYSICS 2021 Notes: Poster.
Dan Nguyen, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve Jiang: A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. Physics in Medicine & Biology 2021.
Shah N, Farhat A, Tweed J, Wang Z, Lee J, McBeth R, Skinner M, Tian F, Thiagarajan R, Raman L: Neural Networks to Predict Radiographic Brain Injury in Pediatric Patients Treated with Extracorporeal Membrane Oxygenation. J Clin Med 9(9): 2718, Aug 2020.