Department of Radiation Oncology

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.