| Operating a treatment planning system using a deep‐reinforcement learning‐based virtual treatment planner for prostate cancer intensity‐modulated radiation therapy treatment … C Shen, D Nguyen, L Chen, Y Gonzalez, R McBeth, N Qin, SB Jiang, ... Medical physics 47 (6), 2329-2336, 2020 | 73 | 2020 |
| Incorporating human and learned domain knowledge into training deep neural networks: a differentiable dose‐volume histogram and adversarial inspired framework for generating … D Nguyen, R McBeth, A Sadeghnejad Barkousaraie, G Bohara, C Shen, ... Medical physics 47 (3), 837-849, 2020 | 60 | 2020 |
| Neutron yields and effective doses produced by Galactic Cosmic Ray interactions in shielded environments in space LH Heilbronn, TB Borak, LW Townsend, PE Tsai, CA Burnham, ... Life Sciences in Space Research 7, 90-99, 2015 | 44 | 2015 |
| Quality factors for space radiation: A new approach TB Borak, LH Heilbronn, LW Townsend, RA McBeth, W De Wet Life Sciences in Space Research 1, 96-102, 2014 | 33 | 2014 |
| 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 D Nguyen, AS Barkousaraie, G Bohara, A Balagopal, R McBeth, MH Lin, ... Physics in Medicine & Biology 66 (5), 054002, 2021 | 31 | 2021 |
| Constrained design of deep iris networks K Nguyen, C Fookes, S Sridharan IEEE Transactions on Image Processing 29, 7166-7175, 2020 | 25 | 2020 |
| Site‐agnostic 3D dose distribution prediction with deep learning neural networks M Mashayekhi, IR Tapia, A Balagopal, X Zhong, AS Barkousaraie, ... Medical physics 49 (3), 1391-1406, 2022 | 12 | 2022 |
| A proof-of-concept study of artificial intelligence–assisted contour editing T Bai, A Balagopal, M Dohopolski, HE Morgan, R McBeth, J Tan, MH Lin, ... Radiology: Artificial Intelligence 4 (5), e210214, 2022 | 8 | 2022 |
| Neural networks to predict radiographic brain injury in pediatric patients treated with extracorporeal membrane oxygenation N Shah, A Farhat, J Tweed, Z Wang, J Lee, R McBeth, M Skinner, F Tian, ... Journal of Clinical Medicine 9 (9), 2718, 2020 | 6 | 2020 |
| Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study M Mashayekhi, R McBeth, D Nguyen, A Yen, Z Trivedi, D Moon, ... Clinical and Translational Radiation Oncology 40, 2023 | 4 | 2023 |
| Neutron fluences and doses behind shielded environments in space L Heilbronn, L Townsend, C Burnham, H Green, PE Tsai, T Borak, ... 2014 IEEE Aerospace Conference, 1-8, 2014 | 4 | 2014 |
| Artificial intelligence guided physician directive improves head and neck planning quality and practice uniformity: a prospective study M Mashayekhi, R McBeth, D Nguyen, SB Jiang, MH Lin International Journal of Radiation Oncology, Biology, Physics 111 (3), S44, 2021 | 3 | 2021 |
| Active Radiation Detectors for Use in Space Beyond Low Earth Orbit: Spatial and Energy Resolution Requirements and Methods for Heavy Ion Charge Classification RA McBeth Colorado State University, 2017 | 2 | 2017 |
| Prediction of Type and Recurrence of Atrial Fibrillation after Catheter Ablation via Left Atrial Electroanatomical Voltage Mapping Registration and Multilayer Perceptron … Q An, R McBeth, H Zhou, B Lawlor, D Nguyen, S Jiang, MS Link, Y Zhu Sensors 22 (11), 4058, 2022 | 1 | 2022 |
| Spatial resolution requirements for active radiation detectors used beyond low earth orbit RA McBeth, TB Borak Life Sciences in Space Research 18, 52-63, 2018 | 1 | 2018 |
| SU‐E‐T‐709: Spatial Resolution Requirements for Fragment Identification in a Carbon Ion Spread Out Bragg Peak R McBeth, T Borak Medical Physics 42 (6Part23), 3500-3500, 2015 | 1 | 2015 |
| Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation HS Tan, K Wang, R Mcbeth arXiv preprint arXiv:2312.10361, 2023 | | 2023 |
| Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments K Wang, HS Tan, R Mcbeth arXiv preprint arXiv:2311.06572, 2023 | | 2023 |
| Interpretable Machine Learning Models for Severe Esophagitis Prediction in LA-NSCLC Patients Treated with Chemoradiation Therapy D Wang, SH Lee, N Yegya-Raman, SJ Feigenberg, GD Kao, AL Largent, ... International Journal of Radiation Oncology, Biology, Physics 117 (2), e490, 2023 | | 2023 |
| Advanced AI Applications: The Next Wave in Radiation Oncology RA McBeth AAPM 65th Annual Meeting & Exhibition, 2023 | | 2023 |
Steve JiangProfessor, University of Texas Southwestern Medical CenterVerified email at UTSouthwestern.edu
