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Ana M. Barragán Montero
Ana M. Barragán Montero
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Cited by
Year
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
3192021
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
1832019
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
752020
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
692018
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
592022
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
582020
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
522021
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
482021
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
472018
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
462021
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
392019
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
342018
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
312021
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
262019
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
252022
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
242019
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
232018
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
192015
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
172023
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
162022
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