| Artificial intelligence and machine learning for medical imaging: A technology review A Barragán-Montero, U Javaid, G Valdés, D Nguyen, P Desbordes, ... Physica Medica 83, 242-256, 2021 | 319 | 2021 |
| Three‐dimensional dose prediction for lung IMRT patients with deep neural networks: robust learning from heterogeneous beam configurations AM Barragán‐Montero, D Nguyen, W Lu, MH Lin, R Norouzi‐Kandalan, ... Medical physics 46 (8), 3679-3691, 2019 | 187 | 2019 |
| Dose prediction with deep learning for prostate cancer radiation therapy: model adaptation to different treatment planning practices RN Kandalan, D Nguyen, NH Rezaeian, AM Barragán-Montero, ... Radiotherapy and Oncology 153, 228-235, 2020 | 76 | 2020 |
| Feasibility of online IMPT adaptation using fast, automatic and robust dose restoration K Bernatowicz, X Geets, A Barragan, G Janssens, K Souris, E Sterpin Physics in Medicine & Biology 63 (8), 085018, 2018 | 69 | 2018 |
| Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency A Barragán-Montero, A Bibal, MH Dastarac, C Draguet, G Valdés, ... Physics in Medicine & Biology 67 (11), 11TR01, 2022 | 59 | 2022 |
| Dosimetric evaluation of synthetic CT generated with GANs for MRI‐only proton therapy treatment planning of brain tumors S Kazemifar, AM Barragán Montero, K Souris, ST Rivas, R Timmerman, ... Journal of applied clinical medical physics 21 (5), 76-86, 2020 | 58 | 2020 |
| Deep learning dose prediction for IMRT of esophageal cancer: the effect of data quality and quantity on model performance AM Barragán-Montero, M Thomas, G Defraene, S Michiels, ... Physica Medica 83, 52-63, 2021 | 53 | 2021 |
| Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT E Brion, J Léger, AM Barragán-Montero, N Meert, JA Lee, B Macq Computers in Biology and Medicine 131, 104269, 2021 | 48 | 2021 |
| Validation and application of a fast Monte Carlo algorithm for assessing the clinical impact of approximations in analytical dose calculations for pencil beam scanning proton … S Huang, K Souris, S Li, M Kang, AM Barragan Montero, G Janssens, ... Medical physics 45 (12), 5631-5642, 2018 | 47 | 2018 |
| Improving proton dose calculation accuracy by using deep learning C Wu, D Nguyen, Y Xing, AB Montero, J Schuemann, H Shang, Y Pu, ... Machine Learning: Science and Technology 2 (1), 015017, 2021 | 46 | 2021 |
| Monte Carlo methods to comprehensively evaluate the robustness of 4D treatments in proton therapy K Souris, A Barragan Montero, G Janssens, D Di Perri, E Sterpin, JA Lee Medical physics 46 (10), 4676-4684, 2019 | 39 | 2019 |
| Patient-specific bolus for range shifter air gap reduction in intensity-modulated proton therapy of head-and-neck cancer studied with Monte Carlo based plan optimization S Michiels, AM Barragán, K Souris, K Poels, W Crijns, JA Lee, E Sterpin, ... Radiotherapy and Oncology 128 (1), 161-166, 2018 | 34 | 2018 |
| Linear energy transfer incorporated spot-scanning proton arc therapy optimization: a feasibility study X Li, X Ding, W Zheng, G Liu, G Janssens, K Souris, ... Frontiers in oncology 11, 698537, 2021 | 31 | 2021 |
| Towards fast and robust 4D optimization for moving tumors with scanned proton therapy G Buti, K Souris, AMB Montero, JA Lee, E Sterpin Medical physics 46 (12), 5434-5443, 2019 | 26 | 2019 |
| OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines A Babier, R Mahmood, B Zhang, VGL Alves, AM Barragán-Montero, ... Physics in Medicine & Biology 67 (18), 185012, 2022 | 25 | 2022 |
| Impact of machine log-files uncertainties on the quality assurance of proton pencil beam scanning treatment delivery. S Toscano, K Souris, C Gomŕ, A Barragan, S Puydupin, ... Physics in medicine and biology, 2019 | 24 | 2019 |
| Performance of a hybrid Monte Carlo‐Pencil Beam dose algorithm for proton therapy inverse planning AM Barragán Montero, K Souris, D Sanchez‐Parcerisa, E Sterpin, JA Lee Medical physics 45 (2), 846-862, 2018 | 23 | 2018 |
| Feasibility and robustness of dose painting by numbers in proton therapy with contour‐driven plan optimization AM Barragán, S Differding, G Janssens, JA Lee, E Sterpin Medical Physics 42 (4), 2006-2017, 2015 | 19 | 2015 |
| Machine learning‐based automatic proton therapy planning: Impact of post‐processing and dose‐mimicking in plan robustness E Borderias‐Villarroel, M Huet Dastarac, AM Barragán‐Montero, ... Medical Physics 50 (7), 4480-4490, 2023 | 17 | 2023 |
| Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer C Draguet, AM Barragán-Montero, MC Vera, M Thomas, P Populaire, ... Radiotherapy and Oncology 176, 101-107, 2022 | 16 | 2022 |
