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
Education:
BS (Minor: Mathematics, Biomedical Engineering)
Colorado State University, 2010.
BS (Physics)
Colorado State University, 2010.
MS (Radiation Physics)
Colorado State University, 2012.
PhD (Radiation Physics)
Colorado State University, 2017.
Permanent linkBS (Minor: Mathematics, Biomedical Engineering)
Colorado State University, 2010.
BS (Physics)
Colorado State University, 2010.
MS (Radiation Physics)
Colorado State University, 2012.
PhD (Radiation Physics)
Colorado State University, 2017.
Selected Publications
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.Shen C, Nguyen D, Chen L, Gonzalez Y, McBeth R, Qin N, Jiang SB, Jia X: Operating a treatment planning system using a deep reinforcement learning based virtual treatment planner for prostate cancer intensity modulated radiation therapy treatment. Med Phys 47(6): 2329-2336, Jun 2020.
Nguyen D, McBeth R, Sadeghnejad Barkousaraie A, Bohara G, Shen C, Jia X, Jiang S: Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose-volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy. Med Phys 47(3): 837-849, Mar 2020.
Zhong, Y Xing, D Nguyen, R McBeth, R Norouzi-Kandalan, Y Zhang, M Lin, W Lu, S Jiang: Commissioning of a Deep Learning-Based Radiotherapy Dose Calculation Engine. American Association of Physicists in Medicine (AAPM), Vancouver, BC 2020 Notes: Poster.
Iqbal, R McBeth, M Joo, D Parsons, A Rahimi, N Kim, A Sawant, X Gu, B Zhao: Comparing the Stability of Deep Inspiration Breath-Holds Between ABC and VisionRT During Breast Irradiation. American Association of Physicists in Medicine (AAPM), Vancouver, BC 2020 Notes: Poster.
R McBeth, D Nguyen, H Wang, R Norouzi-Kandalan, M Mashayekhi, X Zhong, Z Iqbal, A Godley, S Jiang, M Lin: Comparison of Artificial Intelligence Based Decision Support Tool for Head and Neck Treatment Planning. American Association of Physicists in Medicine (AAPM), Vancouver, BC 2020 Notes: Poster.
D Nguyen, A Balagopal, A Sadeghnejad Barkousaraie, R McBeth, S Jiang: Towards Safer Artificial Intelligence-Based Radiation Therapy Treatment Planning: Adding Uncertainty Estimation to Volumetric Dose Prediction Using An Approximate Bayesian Method On Deep Neural Networks. American Association of Physicists in Medicine (AAPM), Vancouver, BC 2020 Notes: Poster.
R McBeth, M Lin, A Godley, S Jiang, D Nguyen: Hard Constraint Approximation for Deep Learning in Radiation Therapy. American Associate of Physicists in Medicine (AAPM) Annual Meeting, Vancouver, BC 2020 Notes: Poster.
X Zhong, D Nguyen, R McBeth, A Balagopal, M Mashayekhi, M Lin, S Jiang: Deep Learning Based Treatment Plan Evaluation. American Association of Physicists in Medicine (AAPM), Vancouver, BC 2020 Notes: Poster.
Abdelaziz Farhat MD, Neel Shah MD, Jefferson Tweed MS, Ziheng Wang PhD, Jeon Lee PhD, Rafe McBeth PhD, Ravi Thiagarajan MD, & Lakshmi Raman MD : Prediction of Neurological Injury in Pediatric Extracorporeal Membrane Oxygenation (ECMO) patients by Hybrid Deep Learning Neural Network. ELSO - ECMO Convention, Barcelona, Space April 2019 Notes: Poster.